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  Subjects -> COMPUTER SCIENCE (Total: 1993 journals)
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COMPUTER SCIENCE (1157 journals)                  1 2 3 4 5 6 | Last

Showing 1 - 200 of 872 Journals sorted alphabetically
3D Printing and Additive Manufacturing     Full-text available via subscription   (Followers: 13)
Abakós     Open Access   (Followers: 3)
Academy of Information and Management Sciences Journal     Full-text available via subscription   (Followers: 69)
ACM Computing Surveys     Hybrid Journal   (Followers: 22)
ACM Journal on Computing and Cultural Heritage     Hybrid Journal   (Followers: 9)
ACM Journal on Emerging Technologies in Computing Systems     Hybrid Journal   (Followers: 13)
ACM Transactions on Accessible Computing (TACCESS)     Hybrid Journal   (Followers: 3)
ACM Transactions on Algorithms (TALG)     Hybrid Journal   (Followers: 16)
ACM Transactions on Applied Perception (TAP)     Hybrid Journal   (Followers: 6)
ACM Transactions on Architecture and Code Optimization (TACO)     Hybrid Journal   (Followers: 9)
ACM Transactions on Autonomous and Adaptive Systems (TAAS)     Hybrid Journal   (Followers: 7)
ACM Transactions on Computation Theory (TOCT)     Hybrid Journal   (Followers: 11)
ACM Transactions on Computational Logic (TOCL)     Hybrid Journal   (Followers: 4)
ACM Transactions on Computer Systems (TOCS)     Hybrid Journal   (Followers: 18)
ACM Transactions on Computer-Human Interaction     Hybrid Journal   (Followers: 13)
ACM Transactions on Computing Education (TOCE)     Hybrid Journal   (Followers: 3)
ACM Transactions on Design Automation of Electronic Systems (TODAES)     Hybrid Journal   (Followers: 1)
ACM Transactions on Economics and Computation     Hybrid Journal  
ACM Transactions on Embedded Computing Systems (TECS)     Hybrid Journal   (Followers: 4)
ACM Transactions on Information Systems (TOIS)     Hybrid Journal   (Followers: 20)
ACM Transactions on Intelligent Systems and Technology (TIST)     Hybrid Journal   (Followers: 8)
ACM Transactions on Interactive Intelligent Systems (TiiS)     Hybrid Journal   (Followers: 3)
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)     Hybrid Journal   (Followers: 10)
ACM Transactions on Reconfigurable Technology and Systems (TRETS)     Hybrid Journal   (Followers: 7)
ACM Transactions on Sensor Networks (TOSN)     Hybrid Journal   (Followers: 8)
ACM Transactions on Speech and Language Processing (TSLP)     Hybrid Journal   (Followers: 11)
ACM Transactions on Storage     Hybrid Journal  
ACS Applied Materials & Interfaces     Full-text available via subscription   (Followers: 21)
Acta Automatica Sinica     Full-text available via subscription   (Followers: 3)
Acta Universitatis Cibiniensis. Technical Series     Open Access  
Ad Hoc Networks     Hybrid Journal   (Followers: 11)
Adaptive Behavior     Hybrid Journal   (Followers: 11)
Advanced Engineering Materials     Hybrid Journal   (Followers: 26)
Advanced Science Letters     Full-text available via subscription   (Followers: 7)
Advances in Adaptive Data Analysis     Hybrid Journal   (Followers: 8)
Advances in Artificial Intelligence     Open Access   (Followers: 16)
Advances in Calculus of Variations     Hybrid Journal   (Followers: 2)
Advances in Catalysis     Full-text available via subscription   (Followers: 5)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 15)
Advances in Computer Science : an International Journal     Open Access   (Followers: 13)
Advances in Computing     Open Access   (Followers: 2)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 54)
Advances in Engineering Software     Hybrid Journal   (Followers: 25)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 10)
Advances in Human-Computer Interaction     Open Access   (Followers: 20)
Advances in Materials Sciences     Open Access   (Followers: 16)
Advances in Operations Research     Open Access   (Followers: 11)
Advances in Parallel Computing     Full-text available via subscription   (Followers: 7)
Advances in Porous Media     Full-text available via subscription   (Followers: 4)
Advances in Remote Sensing     Open Access   (Followers: 37)
Advances in Science and Research (ASR)     Open Access   (Followers: 6)
Advances in Technology Innovation     Open Access   (Followers: 1)
AEU - International Journal of Electronics and Communications     Hybrid Journal   (Followers: 8)
African Journal of Information and Communication     Open Access   (Followers: 6)
African Journal of Mathematics and Computer Science Research     Open Access   (Followers: 4)
Air, Soil & Water Research     Open Access   (Followers: 7)
AIS Transactions on Human-Computer Interaction     Open Access   (Followers: 6)
Algebras and Representation Theory     Hybrid Journal   (Followers: 1)
Algorithms     Open Access   (Followers: 11)
American Journal of Computational and Applied Mathematics     Open Access   (Followers: 4)
American Journal of Computational Mathematics     Open Access   (Followers: 4)
American Journal of Information Systems     Open Access   (Followers: 7)
American Journal of Sensor Technology     Open Access   (Followers: 4)
Anais da Academia Brasileira de Ciências     Open Access   (Followers: 2)
Analog Integrated Circuits and Signal Processing     Hybrid Journal   (Followers: 7)
Analysis in Theory and Applications     Hybrid Journal   (Followers: 1)
Animation Practice, Process & Production     Hybrid Journal   (Followers: 5)
Annals of Combinatorics     Hybrid Journal   (Followers: 3)
Annals of Data Science     Hybrid Journal   (Followers: 9)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 6)
Annals of Pure and Applied Logic     Open Access   (Followers: 2)
Annals of Software Engineering     Hybrid Journal   (Followers: 12)
Annual Reviews in Control     Hybrid Journal   (Followers: 6)
Anuario Americanista Europeo     Open Access  
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 2)
Applied and Computational Harmonic Analysis     Full-text available via subscription   (Followers: 2)
Applied Artificial Intelligence: An International Journal     Hybrid Journal   (Followers: 14)
Applied Categorical Structures     Hybrid Journal   (Followers: 2)
Applied Clinical Informatics     Hybrid Journal   (Followers: 2)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 12)
Applied Computer Systems     Open Access   (Followers: 1)
Applied Informatics     Open Access  
Applied Mathematics and Computation     Hybrid Journal   (Followers: 33)
Applied Medical Informatics     Open Access   (Followers: 10)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 5)
Applied Soft Computing     Hybrid Journal   (Followers: 16)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 4)
Architectural Theory Review     Hybrid Journal   (Followers: 3)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 5)
Archive of Numerical Software     Open Access  
Archives and Museum Informatics     Hybrid Journal   (Followers: 125)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 4)
Artifact     Hybrid Journal   (Followers: 2)
Artificial Life     Hybrid Journal   (Followers: 6)
Asia Pacific Journal on Computational Engineering     Open Access  
Asia-Pacific Journal of Information Technology and Multimedia     Open Access   (Followers: 1)
Asian Journal of Computer Science and Information Technology     Open Access  
Asian Journal of Control     Hybrid Journal  
Assembly Automation     Hybrid Journal   (Followers: 2)
at - Automatisierungstechnik     Hybrid Journal   (Followers: 1)
Australian Educational Computing     Open Access  
Automatic Control and Computer Sciences     Hybrid Journal   (Followers: 3)
Automatic Documentation and Mathematical Linguistics     Hybrid Journal   (Followers: 5)
Automatica     Hybrid Journal   (Followers: 9)
Automation in Construction     Hybrid Journal   (Followers: 6)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 8)
Basin Research     Hybrid Journal   (Followers: 5)
Behaviour & Information Technology     Hybrid Journal   (Followers: 52)
Bioinformatics     Hybrid Journal   (Followers: 311)
Biomedical Engineering     Hybrid Journal   (Followers: 16)
Biomedical Engineering and Computational Biology     Open Access   (Followers: 13)
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 17)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 31)
Briefings in Bioinformatics     Hybrid Journal   (Followers: 46)
British Journal of Educational Technology     Hybrid Journal   (Followers: 125)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 10)
c't Magazin fuer Computertechnik     Full-text available via subscription   (Followers: 2)
CALCOLO     Hybrid Journal  
Calphad     Hybrid Journal  
Canadian Journal of Electrical and Computer Engineering     Full-text available via subscription   (Followers: 14)
Catalysis in Industry     Hybrid Journal   (Followers: 1)
CEAS Space Journal     Hybrid Journal  
Cell Communication and Signaling     Open Access   (Followers: 1)
Central European Journal of Computer Science     Hybrid Journal   (Followers: 5)
CERN IdeaSquare Journal of Experimental Innovation     Open Access  
Chaos, Solitons & Fractals     Hybrid Journal   (Followers: 3)
Chemometrics and Intelligent Laboratory Systems     Hybrid Journal   (Followers: 15)
ChemSusChem     Hybrid Journal   (Followers: 7)
China Communications     Full-text available via subscription   (Followers: 7)
Chinese Journal of Catalysis     Full-text available via subscription   (Followers: 2)
CIN Computers Informatics Nursing     Full-text available via subscription   (Followers: 12)
Circuits and Systems     Open Access   (Followers: 16)
Clean Air Journal     Full-text available via subscription   (Followers: 2)
CLEI Electronic Journal     Open Access  
Clin-Alert     Hybrid Journal   (Followers: 1)
Cluster Computing     Hybrid Journal   (Followers: 1)
Cognitive Computation     Hybrid Journal   (Followers: 4)
COMBINATORICA     Hybrid Journal  
Combustion Theory and Modelling     Hybrid Journal   (Followers: 13)
Communication Methods and Measures     Hybrid Journal   (Followers: 11)
Communication Theory     Hybrid Journal   (Followers: 20)
Communications Engineer     Hybrid Journal   (Followers: 1)
Communications in Algebra     Hybrid Journal   (Followers: 3)
Communications in Partial Differential Equations     Hybrid Journal   (Followers: 3)
Communications of the ACM     Full-text available via subscription   (Followers: 53)
Communications of the Association for Information Systems     Open Access   (Followers: 18)
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering     Hybrid Journal   (Followers: 3)
Complex & Intelligent Systems     Open Access  
Complex Adaptive Systems Modeling     Open Access  
Complex Analysis and Operator Theory     Hybrid Journal   (Followers: 2)
Complexity     Hybrid Journal   (Followers: 6)
Complexus     Full-text available via subscription  
Composite Materials Series     Full-text available via subscription   (Followers: 9)
Computación y Sistemas     Open Access  
Computation     Open Access  
Computational and Applied Mathematics     Hybrid Journal   (Followers: 2)
Computational and Mathematical Methods in Medicine     Open Access   (Followers: 2)
Computational and Mathematical Organization Theory     Hybrid Journal   (Followers: 2)
Computational and Structural Biotechnology Journal     Open Access   (Followers: 2)
Computational and Theoretical Chemistry     Hybrid Journal   (Followers: 9)
Computational Astrophysics and Cosmology     Open Access   (Followers: 1)
Computational Biology and Chemistry     Hybrid Journal   (Followers: 12)
Computational Chemistry     Open Access   (Followers: 2)
Computational Cognitive Science     Open Access   (Followers: 2)
Computational Complexity     Hybrid Journal   (Followers: 4)
Computational Condensed Matter     Open Access  
Computational Ecology and Software     Open Access   (Followers: 9)
Computational Economics     Hybrid Journal   (Followers: 9)
Computational Geosciences     Hybrid Journal   (Followers: 14)
Computational Linguistics     Open Access   (Followers: 23)
Computational Management Science     Hybrid Journal  
Computational Mathematics and Modeling     Hybrid Journal   (Followers: 8)
Computational Mechanics     Hybrid Journal   (Followers: 4)
Computational Methods and Function Theory     Hybrid Journal  
Computational Molecular Bioscience     Open Access   (Followers: 2)
Computational Optimization and Applications     Hybrid Journal   (Followers: 7)
Computational Particle Mechanics     Hybrid Journal   (Followers: 1)
Computational Research     Open Access   (Followers: 1)
Computational Science and Discovery     Full-text available via subscription   (Followers: 2)
Computational Science and Techniques     Open Access  
Computational Statistics     Hybrid Journal   (Followers: 13)
Computational Statistics & Data Analysis     Hybrid Journal   (Followers: 31)
Computer     Full-text available via subscription   (Followers: 84)
Computer Aided Surgery     Hybrid Journal   (Followers: 3)
Computer Applications in Engineering Education     Hybrid Journal   (Followers: 6)
Computer Communications     Hybrid Journal   (Followers: 10)
Computer Engineering and Applications Journal     Open Access   (Followers: 5)
Computer Journal     Hybrid Journal   (Followers: 7)
Computer Methods in Applied Mechanics and Engineering     Hybrid Journal   (Followers: 22)
Computer Methods in Biomechanics and Biomedical Engineering     Hybrid Journal   (Followers: 10)
Computer Methods in the Geosciences     Full-text available via subscription   (Followers: 1)
Computer Music Journal     Hybrid Journal   (Followers: 16)
Computer Physics Communications     Hybrid Journal   (Followers: 6)
Computer Science - Research and Development     Hybrid Journal   (Followers: 7)
Computer Science and Engineering     Open Access   (Followers: 17)
Computer Science and Information Technology     Open Access   (Followers: 11)
Computer Science Education     Hybrid Journal   (Followers: 12)
Computer Science Journal     Open Access   (Followers: 20)
Computer Science Master Research     Open Access   (Followers: 10)
Computer Science Review     Hybrid Journal   (Followers: 10)

        1 2 3 4 5 6 | Last

Journal Cover Automation in Construction
  [SJR: 1.571]   [H-I: 65]   [6 followers]  Follow
    
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 0926-5805
   Published by Elsevier Homepage  [3044 journals]
  • Heuristic algorithm for ready-mixed concrete plant scheduling with
           multiple mixers
    • Authors: Zhenyuan Liu; Yakun Zhang; Minghui Yu; Xiaolu Zhou
      Pages: 1 - 13
      Abstract: Publication date: December 2017
      Source:Automation in Construction, Volume 84
      Author(s): Zhenyuan Liu, Yakun Zhang, Minghui Yu, Xiaolu Zhou
      In this study, the problem of integration of ready-mixed concrete (RMC) production scheduling and truck and pump dispatching in an RMC plant with multiple mixers is focused upon. A time-space network model, which combines RMC production and vehicle dispatching, is proposed. A heuristic algorithm with eight sets of conjoint priority rules for production scheduling, truck and pump dispatching, and mixer scheduling is developed to solve the problem. Computational experiments are conducted on actual cases collected from an RMC company; these cases are classified into four types based on the quantity of orders from construction sites and the discrete degree of construction sites. The advantages and disadvantages of adopting various conjoint-rules in the various types of cases are determined. The experimental results demonstrate that this heuristic solution is capable of enabling managers of RMC plants to develop more suitable schedules in various types of practical cases.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.013
      Issue No: Vol. 84 (2017)
       
  • BIM integrated smart monitoring technique for building fire prevention and
           disaster relief
    • Authors: Min-Yuan Cheng; Kuan-Chang Chiu; Yo-Ming Hsieh; I-Tung Yang; Jui-Sheng Chou; Yu-Wei Wu
      Pages: 14 - 30
      Abstract: Publication date: December 2017
      Source:Automation in Construction, Volume 84
      Author(s): Min-Yuan Cheng, Kuan-Chang Chiu, Yo-Ming Hsieh, I-Tung Yang, Jui-Sheng Chou, Yu-Wei Wu
      Modern high-rise buildings may be configured into spaces of widely varying specifications. This situation creates a diverse building environment with multiple variables that make fire hazards difficult to predict and monitor accurately. Therefore, developing and implementing an integrated fire disaster prevention system is necessary in order to effectively prevent fire disasters and adequately protect life and property. In Taiwan, the response to an organization of fire prevention and disaster relief as well as evacuation planning and rescue guidance continue to rely primarily on human-provided intelligence. This method makes disaster-response decision-making inherently prone to error due to the inaccuracy, incompleteness, and poor communication of this intelligence. However, Building Information Modeling (BIM) and wireless sensor networks have been widely discussed in many aspects of building disaster-prevention management as approaches to increasing the accuracy and effectiveness of disaster-response decision-making. The present study uses BIM to construct a BIM-based Intelligent Fire Prevention and Disaster Relief System. This system integrates information on personal localization, on evacuation/rescue route optimization with Bluetooth-based technology, and on a mobile guidance device to create an intelligent and two-way fire disaster prevention system framework that displays the real-time and dynamic fire information in three dimensions (3D). The results of applying the BIM-based system demonstrate that it may effectively provide 3D visualization to support the assessment and planning of fire safety, to provide early detection and alarm responses, to direct efficient evacuation, and to facilitate fire rescue and control efforts in order to increase overall building safety and disaster-response capabilities.
      Graphical abstract image

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.027
      Issue No: Vol. 84 (2017)
       
  • What drives construction workers' acceptance of wearable technologies in
           the workplace': Indoor localization and wearable health devices for
           occupational safety and health
    • Authors: Byungjoo Choi; Sungjoo Hwang; SangHyun Lee
      Pages: 31 - 41
      Abstract: Publication date: December 2017
      Source:Automation in Construction, Volume 84
      Author(s): Byungjoo Choi, Sungjoo Hwang, SangHyun Lee
      The use of wearable sensing devices (e.g., GPS and physiological sensors) can open a new door toward occupational safety and health management in physically demanding and hazardous construction (e.g., tracking worker's locations in dangerous working area and monitoring of worker's physiological status). These potential benefits cannot be achieved, however, if construction workers do not recognize the value of wearable devices as well as the details of their usage. This study thus investigates determinants for workers' adoption of wearable technology in the occupational work context. Specifically, the scope of this study is to test hypotheses regarding workers' intention to adopt two representative wearable devices for occupational safety and health, a smart vest with an embedded indoor GPS for location tracking, and a wristband-type wearable activity tracker (i.e., wristband) with physiological sensors. The research results indicate that perceived usefulness (PU), social influence (SI), and perceived privacy risk (PR) are associated with workers' intention to adopt (IA) both smart vest and wristband. Also, workers' experiences using wearable devices positively moderates the association between PU and IA of smart vest and negatively moderates the association between SI and IA of smart vest. In the work context, foremen are more likely to be influenced by PU than workers with regard to using a wristband. By considering the different functions, benefits, and challenges of each device, and by taking into account individual and job characteristics, the results of this study provide crucial insight into the process of motivating workers to adopt each device in their work, which can promote the continued and appropriate use of wearable technology in occupational safety and health management.
      Graphical abstract image

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.005
      Issue No: Vol. 84 (2017)
       
  • Evaluating wheel loader operating conditions based on radar chart
    • Authors: Shaojie W.A.N.G.; Liang H.O.U.; Jay Lee; Xiangjian B.U.
      Pages: 42 - 49
      Abstract: Publication date: December 2017
      Source:Automation in Construction, Volume 84
      Author(s): Shaojie W.A.N.G., Liang H.O.U., Jay Lee, Xiangjian B.U.
      The evaluation of the difficulty level of operating conditions is one of the key problems in intelligent management of the wheel loader engine power. This paper presents a method for evaluating the difficulty level of wheel loader operating conditions based on radar chart. Firstly, we analyze the characteristics of the wheel loader operation spectrum, and determine the boom head cylinder pressure as the analysis object. Then, based on the analysis object we establish the characteristic indexes that can express the operating conditions and determine eigenvalues of the characteristic indexes with clustering analysis algorithms. Lastly, we draw the eigenvalues on the radar chart, and extract the area enclosed by the eigenvalues to compare with the area of the radar chart. The ratio of enclosed area of radar chart is defined as the difficulty level of operating conditions. This method is validated under various industrial conditions (i.e. four types of operating conditions, three power modes and three drivers manipulating the wheel loader). The results indicate that the proposed method to evaluate the difficulty level can accurately quantify the real operating conditions, and is a useful tool for management of engine power modes according to the quantified operating conditions.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.020
      Issue No: Vol. 84 (2017)
       
  • Project collective mind: Unlocking project discussion networks
    • Authors: Mazdak Nik-Bakht; Tamer El-Diraby
      Pages: 50 - 69
      Abstract: Publication date: December 2017
      Source:Automation in Construction, Volume 84
      Author(s): Mazdak Nik-Bakht, Tamer El-Diraby
      A project discussion network is a space where project stakeholders form relationships among each other and share information about the project. Virtual discussion networks may refer to networks of e-mails, document exchange and social media (such as Twitter, Facebook, YouTube, etc.). As such, both social linkages and semantics of the exchanged content must be considered in analysis of such networks. The proposed framework in this study aims to analyze both the social and semantic aspects of these networks. We developed the framework through analysis of the social networks formed around Twitter accounts of infrastructure megaprojects. To assure relevance to construction research and practices, three objectives guided our analysis: relaying on a large and diversified data corpus from construction projects; testing the applicability and usage of a set of relevant algorithms to the context of construction project management; and linking the results of data analysis and algorithm evaluation to the conditions of construction projects at hand. In examining algorithms for detecting sub-communities, the Louvain fast unfolding modularity maximization was more suitable in detecting project relevant sub-groups. For assessing the relative influence of actors, PageRank algorithm performed better than centrality measures. For extracting key terms, we found that modifying the term frequency-inverse document frequency (TF-IDF) measure to incorporate the relative importance of the source nodes enhances the relevance of extracted terms. Obliviously, Twitter networks are only one type of project networks that can cover a limited/biased sample of participants. Their analysis should be one component of the overall project network analysis. We believe that the proposed framework has the same level of applicability to internal networks of project teams as well as non-Twitter networks.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.026
      Issue No: Vol. 84 (2017)
       
  • UAV-based automatic generation of high-resolution panorama at a
           construction site with a focus on preprocessing for image stitching
    • Authors: Seongdeok Bang; Hongjo Kim; Hyoungkwan Kim
      Pages: 70 - 80
      Abstract: Publication date: December 2017
      Source:Automation in Construction, Volume 84
      Author(s): Seongdeok Bang, Hongjo Kim, Hyoungkwan Kim
      As construction sites increase in size, it becomes more difficult for a manager to understand the status of the site on time. However, with the development of unmanned aerial vehicles (UAVs), it is possible to collect a large amount of visual data of the construction site in a short time. Using this data, a large-scale construction site can be monitored in a timely and frequent manner with computer vision technologies. This paper proposes a method to generate a panorama of a construction site by using an image stitching technique with a focus on preprocessing. To create high-quality panoramas, blurred frames of videos are filtered out, key frames are selected, and camera lens distortion is corrected. The proposed method produced a high-quality panorama of a construction site, which was evaluated by comparing it with an aerial photograph and the panorama produced by the existing image stitching technique. The proposed method is expected to help managers to easily identify various construction site conditions with the help of high-quality image data.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.031
      Issue No: Vol. 84 (2017)
       
  • Weather-wise: A weather-aware planning tool for improving construction
           productivity and dealing with claims
    • Authors: Pablo Ballesteros-Pérez; Yonatan Alexis Rojas-Céspedes; Will Hughes; Shabnam Kabiri; Eugenio Pellicer; Daniel Mora-Melià; Maria Luisa del Campo-Hitschfeld
      Pages: 81 - 95
      Abstract: Publication date: December 2017
      Source:Automation in Construction, Volume 84
      Author(s): Pablo Ballesteros-Pérez, Yonatan Alexis Rojas-Céspedes, Will Hughes, Shabnam Kabiri, Eugenio Pellicer, Daniel Mora-Melià, Maria Luisa del Campo-Hitschfeld
      The influence of unforeseen, extreme weather in construction works usually impacts productivity, causes significant project delays and constitutes a frequent source of contractor's claims. However, construction practitioners cannot count on sound methods for mediating when weather-related claims arise, nor harnessing the influence of weather variability in construction projects. Building on the few most recent quantitative studies identifying those key weather agents and levels of intensity that affect some standard building construction activities, a new stochastic model that processes and replicates the spatio-temporal variability of combined weather variables is proposed. This model can help anticipate weather-related project duration variability; improving construction productivity by selecting the best project start date; and objectively evaluating weather-related claims. A two-building construction case study using different Spanish locations is used to demonstrate the model. The results showed that ignoring the influence of weather can lead to an extension of 5–20% longer project duration compared to planned.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.022
      Issue No: Vol. 84 (2017)
       
  • An IFC-inspection process model for infrastructure projects: Enabling
           real-time quality monitoring and control
    • Authors: Lieyun Ding; Kaiman Li; Ying Zhou; Peter E.D. Love
      Pages: 96 - 110
      Abstract: Publication date: December 2017
      Source:Automation in Construction, Volume 84
      Author(s): Lieyun Ding, Kaiman Li, Ying Zhou, Peter E.D. Love
      Comprehensive and timely inspection of quality issues is critical for reducing rework and delays in infrastructure projects. Enabling a real-time quality checking guidance system to be used in practice requires formal data exchange methods and inspection process control. This, however, remains an on-going challenge, as information is often expressed in different data representations and stored in disparate locations and formats. There have been a limited number of studies that have examined the relationship among physical objects, schedule, and quality management information related to the process of inspection as well as the difficulties associated with enabling real-time monitoring and control of quality. In addressing this issue, a design science research approach is used to develop and apply an Industrial Foundation Classes-based Inspection Process Model (IFC-IPM) to enable information exchange requirements for quality-related information to occur in real-time during construction. Within the IFC-IPM schema and extension that is developed, a physical, schedule, and quality management model exist. The IFC-IPM extension defines the dynamic property sets that form part of quality management system. The dynamic property set of the schedule can identify inspection codes, time, and its content. This provides inspectors with the ability to undertake real-time quality monitoring and control. The IFC-IPM that is developed is applied to a real-life subway infrastructure project. It is demonstrated that the developed IFC-IPM provides an effective platform for data sharing and exchange of quality related information and other IFC-compliant applications. The model can be used to streamline the quality management process as it reduces the time to attend to undertake rework and increases the accuracy and timeliness of inspections and the acceptance of activities and products.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.029
      Issue No: Vol. 84 (2017)
       
  • Improving dynamic proximity sensing and processing for smart work-zone
           safety
    • Authors: JeeWoong Park; Xiaoyu Yang; Yong K. Cho; Jongwon Seo
      Pages: 111 - 120
      Abstract: Publication date: December 2017
      Source:Automation in Construction, Volume 84
      Author(s): JeeWoong Park, Xiaoyu Yang, Yong K. Cho, Jongwon Seo
      Equipment/vehicles striking workers is one of the most frequent accidents that occur in roadway workzones. As a means of prevention, a number of active technologies have been developed to provide proximity sensing and alerts for workers and equipment operators. However, most of these systems are based on the distance/proximity level between workers and equipment and neglect the variations caused by different settings and environmental conditions, such as equipment types and approaching speeds, which can result in inconsistency and delay of the systems. As of yet, previous research has insufficiently investigated these issues. This research addresses the issues by utilizing the Bluetooth Low Energy (BLE)-based proximity sensing and alert system developed by the authors. This paper discusses the development and assessment of parameter adjustment and adaptive signal processing (ASP) methods. The research conducted field trials in various dynamic conditions and settings to assess the performance of the system. The test results showed that the parameter adjustment function reduced the inconsistency of the alert distances resulting from different types of equipment, and that the ASP method reduced the time delay resulting from high approaching speeds. The developed proximity safety alerts system provides stakeholders with better understanding of dynamic spatial relationships among equipment, operator, workers, and a surrounding work environment; thus, improving construction work zone safety.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.025
      Issue No: Vol. 84 (2017)
       
  • BIM-assisted labor productivity measurement method for structural formwork
    • Authors: Junbok Lee; Young-Jin Park; Chang-Hoon Choi; Choong-Hee Han
      Pages: 121 - 132
      Abstract: Publication date: December 2017
      Source:Automation in Construction, Volume 84
      Author(s): Junbok Lee, Young-Jin Park, Chang-Hoon Choi, Choong-Hee Han
      Knowledge of labor productivity is essential for cost estimation and progress control. Due to the limited availability of automatic generation technology for integrated information including both physical component attributes (such as spatial information) and managerial attributes (such as allocated resources), research efforts focusing on cost-time integrated progress control theory have been sparse. However, current advances in 3D building information modeling (BIM) applications have allowed for the practical development of BIM-based visual progress control systems. The goal of this research is to explore the importance of labor productivity data for measuring compound progress. Therefore, this paper develops a field labor productivity data acquisition method by integrating a 3D model with associated information. To evaluate the proposed method, a case project and field data were used to assess productivity. The results of this research are discussed in terms of significant findings and potential further developments.

      PubDate: 2017-09-08T03:40:19Z
      DOI: 10.1016/j.autcon.2017.08.009
      Issue No: Vol. 84 (2017)
       
  • Optimizing decisions in advanced manufacturing of prefabricated products:
           Theorizing supply chain configurations in off-site construction
    • Authors: Mehrdad Arashpour; Yu Bai; Guillermo Aranda-mena; Alireza Bab-Hadiashar; Reza Hosseini; Pushpitha Kalutara
      Pages: 146 - 153
      Abstract: Publication date: December 2017
      Source:Automation in Construction, Volume 84
      Author(s): Mehrdad Arashpour, Yu Bai, Guillermo Aranda-mena, Alireza Bab-Hadiashar, Reza Hosseini, Pushpitha Kalutara
      Robust supply decision making is critical to the advanced manufacturing of prefabricated products. Previous related research focused on minimizing cost overruns in off-site construction supply networks by optimizing purchasing decisions. However, decision parameters such as strategic preferences to include or exclude certain suppliers and utilization of multi-supplier configurations are yet to be formulated and analytically solved. The proposed optimization models aim to enhance supply network performance with a smaller overall investment. Toward this aim, three research hypotheses on optimization of supply decisions and configurations are developed and tested. A real-world precast panel production project serves as the test bed to demonstrate the effectiveness of the mathematical programming and analyze cost implications of supply related decisions. The modeling method and results contribute to optimal decision making in advanced manufacturing of prefabricated products.

      PubDate: 2017-09-08T03:40:19Z
      DOI: 10.1016/j.autcon.2017.08.032
      Issue No: Vol. 84 (2017)
       
  • Usability evaluation of a web-based tool for supporting holistic building
           energy management
    • Authors: Kris McGlinn; Baris Yuce; Hendro Wicaksono; Shaun Howell; Yacine Rezgui
      Pages: 154 - 165
      Abstract: Publication date: December 2017
      Source:Automation in Construction, Volume 84
      Author(s): Kris McGlinn, Baris Yuce, Hendro Wicaksono, Shaun Howell, Yacine Rezgui
      This paper presents the evaluation of the level of usability of an intelligent monitoring and control interface for energy efficient management of public buildings, called BuildVis, which forms part of a Building Energy Management System (BEMS.) The BEMS ‘intelligence’ is derived from an intelligent algorithm component which brings together ANN-GA rule generation, a fuzzy rule selection engine, and a semantic knowledge base. The knowledge base makes use of linked data and an integrated ontology to uplift heterogeneous data sources relevant to building energy consumption. The developed ontology is based upon the Industry Foundation Classes (IFC), which is a Building Information Modelling (BIM) standard and consists of two different types of rule model to control and manage the buildings adaptively. The populated rules are a mix of an intelligent rule generation approach using Artificial Neural Network (ANN) and Genetic Algorithms (GA), and also data mining rules using Decision Tree techniques on historical data. The resulting rules are triggered by the intelligent controller, which processes available sensor measurements in the building. This generates ‘suggestions’ which are presented to the Facility Manager (FM) on the BuildVis web-based interface. BuildVis uses HTML5 innovations to visualise a 3D interactive model of the building that is accessible over a wide range of desktop and mobile platforms. The suggestions are presented on a zone by zone basis, alerting them to potential energy saving actions. As the usability of the system is seen as a key determinate to success, the paper evaluates the level of usability for both a set of technical users and also the FMs for five European buildings, providing analysis and lessons learned from the approach taken.

      PubDate: 2017-09-14T03:58:19Z
      DOI: 10.1016/j.autcon.2017.08.033
      Issue No: Vol. 84 (2017)
       
  • Automated seismic design of non-structural elements with building
           information modelling
    • Authors: Daniele Perrone; Andre Filiatrault
      Pages: 166 - 175
      Abstract: Publication date: December 2017
      Source:Automation in Construction, Volume 84
      Author(s): Daniele Perrone, Andre Filiatrault
      The seismic performance of non-structural elements is nowadays recognized to be a key issue in performance-based earthquake engineering. The knowledge of construction details within a building is of paramount importance in order to reduce uncertainties and improve the quality of the analysis and design, particularly in regards to non-structural elements. The use of Building Information Modelling (BIM) could represent a new frontier in the seismic design of non-structural elements by increasing the reliability of the seismic design and/or assessment. This study discusses the effectiveness of using Building Information Models in seismic design of non-structural building elements. A simple tool has been developed to perform automatically the seismic design of sway braces for pressurized fire suppressant sprinkler piping systems based on information extracted from a Building Information Models. The effectiveness of the proposed procedure was validated via a case study.

      PubDate: 2017-09-14T03:58:19Z
      DOI: 10.1016/j.autcon.2017.09.002
      Issue No: Vol. 84 (2017)
       
  • System information modelling in practice: Analysis of tender documentation
           quality in a mining mega-project
    • Authors: P.E.D. Love; J. Zhou; J. Matthews; M.C.P. Sing; D.J. Edwards
      Pages: 176 - 183
      Abstract: Publication date: December 2017
      Source:Automation in Construction, Volume 84
      Author(s): P.E.D. Love, J. Zhou, J. Matthews, M.C.P. Sing, D.J. Edwards
      The quality of information contained in tender documentation produced using Computer-Aided-Design (CAD) and provided in a hard-copy format to an electrical engineering contractor for a port expansion facility, which formed an integral part of an Iron Ore mega-project is analyzed. A System Information Model (SIM), which is an object oriented approach, was retrospectively constructed from the documentation provided to assist the contractor with their tender bid preparation. During the creation of the SIM, a total of 426 errors and omissions were found to be contained within the 77 tender ‘drawing’ documents supplied to the contractor by an Engineering, Construction, Procurement and Management (EPCM). Surprisingly, 70 drawings referenced in the tender documentation, and the Input/Output lists and Cause/Effect drawings were not provided. Yet, the electrical contractor was required by the EPCM organization to provide a lump sum bid and also guarantee the proposed schedule would be met; the financial risks were too high and as a result the contractor decided not to submit a bid. It is suggested that if the original tender documentation had been prepared using a SIM rather than CAD, the quality of information presented to the contractor would have enabled them to submit a competitive bid for the works. The research concludes that the economic performance and productivity of mining projects can be significantly improved by using a SIM to engineer and document electrical instrumentation and control (EIC) systems.

      PubDate: 2017-09-14T03:58:19Z
      DOI: 10.1016/j.autcon.2017.08.034
      Issue No: Vol. 84 (2017)
       
  • Performance analysis of an automatic idle speed control system with a
           hydraulic accumulator for pure electric construction machinery
    • Authors: Tianliang Lin; Lang Wang; Weiping Huang; Haoling Ren; Shengjie Fu; Qihuai Chen
      Pages: 184 - 194
      Abstract: Publication date: December 2017
      Source:Automation in Construction, Volume 84
      Author(s): Tianliang Lin, Lang Wang, Weiping Huang, Haoling Ren, Shengjie Fu, Qihuai Chen
      To reduce the energy consumption and emissions of a hydraulic excavator (HE), an electric motor (EM) is employed to replace the internal combustion engine (ICE) that powers the hydraulic pumps. Owing to the excellent control characteristics and high efficiency of the EM, a two-level idle speed control system with a hydraulic accumulator (HA) for a HE is proposed to reduce energy consumption and improve the control performance of the actuator when the idle speed control (ISC) is switched off. A mathematical model is established and key parameters are analyzed and optimized. A simulation is performed using AMESim, and a control strategy for the two-level idle speed control is developed by using a co-simulation between AMESim and Simulink. A test rig is built based on the optimized parameters and simulation results. Experimental results show that the EM speed can be automatically switched between the first idle speed, second idle speed, and normal operating speed. Although the idle speed of the EM in the novel ISC system can be reduced more than that in a conventional ISC system, the proposed ISC system can still build actuator pressure more quickly in a working mode when the ISC is switched off. Compared to a system without idle speed control, the energy saving of the proposed system is approximately 36.06%. The proposed two-level idle speed control system with a HA can achieve high energy efficiency and excellent control performance, and it can be also applied to engine-driven construction machinery.
      Graphical abstract image

      PubDate: 2017-09-14T03:58:19Z
      DOI: 10.1016/j.autcon.2017.09.001
      Issue No: Vol. 84 (2017)
       
  • Development of a wall-climbing platform with modularized wall-cleaning
           units
    • Authors: Taegyun Kim; Youngjae Jeon; Sungkeun Yoo; Keonwoo Kim; Hwa Soo Kim; Jongwon Kim
      Pages: 1 - 18
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Taegyun Kim, Youngjae Jeon, Sungkeun Yoo, Keonwoo Kim, Hwa Soo Kim, Jongwon Kim
      This paper presents a wall-climbing platform equipped with new modularized wall-cleaning units. Instead of using such devices as winch systems or built-in guide rails, the proposed platform adopts a portable rope ascender for efficient wall-climbing. In order to keep in good contact with various types of walls, two propeller thrusters are optimally designed by the Taguchi method to ensure absorptive force of larger than 45N per a propeller thruster. The compactness and lightness of proposed platform is successfully achieved so that its overall size, weight and load capacity are 1300mm×787mm×606mm (length×width×height), 37kg and 18kg, respectively. Two types of modularized cleaning units are built by using the ball-screw mechanism to adjust the distance as well as the contact angle between the cleaning units and a wall. The dry type wall-cleaning unit is designed and its operating conditions are examined by the Taguchi method to remove more than 88.9% of contaminants on a glass. The semi-dry type wall-cleaning unit is constructed based upon the dry type wall cleaning unit to effectively remove solidified contaminants by rubbing the diatomite against the wall. The extensive experiments using the proposed wall-climbing platform equipped with the wall-cleaning units are carried out to demonstrate its stable climbing capability as well as excellent cleaning performance.

      PubDate: 2017-08-02T23:34:42Z
      DOI: 10.1016/j.autcon.2017.07.004
      Issue No: Vol. 83 (2017)
       
  • A framework of innovative learning for skill development in complex
           operational tasks
    • Authors: Lei Hou; Hung-Lin Chi; Wernhuar Tarng; Jian Chai; Kriengsak Panuwatwanich; Xiangyu Wang
      Pages: 29 - 40
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Lei Hou, Hung-Lin Chi, Wernhuar Tarng, Jian Chai, Kriengsak Panuwatwanich, Xiangyu Wang
      As today's oil and gas projects are becoming larger and more complex, project managers are constantly faced with a number of concerns about schedules, budgets, productivity and safety. Operating an oil and gas facility is a process where workers refer to technical specifications to obtain the right information, identify the components, and then make a decision as to the adjustment or correctness. This entire process is iterative and triggers a learning process which may lead to improved proficiency as the cycle is repeated. The inability to find the right information or sequence within a cycle can contribute to efficiency losses. Jobsite training offered by qualified organisations and associations for the oil and gas industry is very limited, and the relevant training facilities and centres that have been established or considered in the construction agenda are far from sufficient to the growing standard of operators and industry expansion. This paper, underpinned by advanced innovative visualisation technologies, proposes a framework to improve efficiency and expedite the process of developing the complex procedural skills in operating and maintaining oil and gas facilities, through identifying scientific principles of enabling complex procedural learning approaches, developing proficiency-based learning approaches and corresponding learning curricula, and appraising learning outcomes according to developed skillset taxonomy. The proposed framework is tested under the development of an innovative and immersive Augmented Reality/Virtual Reality training system, which reveals significantly pragmatic benefits in terms of boosting up workforce productivity while bringing down rework. It is also demonstrated that embedding paradigms of transformative learning process while pedagogically adopting Information Communication Technologies (ICT) in curricula development and assessment regimes can help the sector significantly improve workforce safety.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.07.001
      Issue No: Vol. 83 (2017)
       
  • Biomechanical analysis of risk factors for work-related musculoskeletal
           disorders during repetitive lifting task in construction workers
    • Authors: M.F. Antwi-Afari; H. Li; D.J. Edwards; E.A. Pärn; J. Seo; A.Y.L. Wong
      Pages: 41 - 47
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): M.F. Antwi-Afari, H. Li, D.J. Edwards, E.A. Pärn, J. Seo, A.Y.L. Wong
      Work-related musculoskeletal disorders (WMSDs) represent major health issues for construction workers yet risk factors associated with repetitive lifting tasks remain unexplored. This study evaluates the effects of lifting weights and postures on spinal biomechanics (i.e. muscle activity and muscle fatigue) during a simulated repetitive lifting task undertaken within a strictly controlled laboratory experimental environment. Twenty healthy male participants performed simulated repetitive lifting tasks with three different lifting weights using either a stoop (n=10) or a squat (n=10) lifting posture until subjective fatigue (a point in time at which the participant cannot continue lifting further). Spinal biomechanics during repetitive lifting tasks were measured by surface electromyography (sEMG). Results revealed that (1) increased lifting weights significantly increased sEMG activity and muscle fatigue of the biceps brachii (BB), brachioradialis (BR), lumbar erector spinae (LES), and medial gastrocnemius (MG) muscles but not the rectus femoris (RF) muscle; (2) sEMG activity and muscle fatigue rate of the LES muscle were higher than all other muscles; (3) a significant difference of sEMG activity of the RF and MG muscles was observed between lifting postures, however no significant difference of muscle fatigue was apparent (p >0.05). These findings suggest that risk factors such as lifting weights, repetitions and lifting postures may alleviate the risk of developing WMSDs. However, future research is required to investigate the effectiveness of using ergonomic interventions (such as using team lifting and adjustable lift equipment) in reducing WMSDs risks in construction workers. This work represents the first laboratory-based simulated testing conducted to investigate work-related musculoskeletal disorders (WMSDs) primarily caused by repetitive lifting tasks and manual handling. Cumulatively, the results and ensuing discussion offer insight into how these risks can be measured and mitigated.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.07.007
      Issue No: Vol. 83 (2017)
       
  • Analysis of construction trade worker body motions using a wearable and
           wireless motion sensor network
    • Authors: Enrique Valero; Aparajithan Sivanathan; Frédéric Bosché; Mohamed Abdel-Wahab
      Pages: 48 - 55
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Enrique Valero, Aparajithan Sivanathan, Frédéric Bosché, Mohamed Abdel-Wahab
      Biomechanical analysis of construction workers has been considerably improved with the development of wearable sensors. Information delivered by these systems is playing an important role in the evaluation of postures as well as in the reduction of work-related musculoskeletal disorders (WRMSDs). In this article, we present a novel system and data processing framework to deliver intuitive and understandable motion-related information about workers. The system uniquely integrates Inertial Measurement Unit (IMU) devices in a wireless body area network, and the data processing uses a robust state machine-based approach that assesses inadequate working postures based on standard positions defined by the International Organization for Standardization (ISO). The system and data processing framework are collectively validated through experiments carried out with college trainees conducting typical bricklaying tasks. The results illustrate the robustness of the system under demanding circumstances, and suggest its applicability in actual working environments outside the college.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.001
      Issue No: Vol. 83 (2017)
       
  • Credible interval estimation for fraction nonconforming: Analytical and
           numerical solutions
    • Authors: Wenying Ji; Simaan M. AbouRizk
      Pages: 56 - 67
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Wenying Ji, Simaan M. AbouRizk
      This paper proposes a Bayesian statistics-based analytical solution and a Markov Chain Monte Carlo (MCMC) method-based numerical solution to estimate the credible interval for fraction nonconforming. Both solutions provide a more accurate, reliable, and interpretable estimation of sampling uncertainty and can be used to improve the functionality of automated, nonconforming quality management systems. To reveal how the inherent mathematical mechanism functions for an analytical solution, a step-by-step proof with a calculation example is provided. For the numerical solution, a specialized Metropolis-Hastings algorithm and an illustrative simulation example are provided to elaborate the stochastic processes of the method. An industrial case study, from a pipe fabrication company in Alberta, Canada, is presented to demonstrate the feasibility and applicability of the proposed credible interval estimation methods. Results of the case study indicate that both solutions can accurately and reliably serve the nonconforming quality inference purpose. This research can be implemented as a decision-making tool for credible interval estimation and will provide valuable support for understanding and improving quality performance of automated, nonconforming quality control processes.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.07.003
      Issue No: Vol. 83 (2017)
       
  • Prediction-based stochastic dynamic programming control for excavator
    • Authors: Hua Zhou; Peng-Yu Zhao; Ying-Long Chen; Hua-Yong Yang
      Pages: 68 - 77
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Hua Zhou, Peng-Yu Zhao, Ying-Long Chen, Hua-Yong Yang
      Because the fuel efficiency of excavators is low and the energy loss is considerable, a prediction-based stochastic dynamic programming (PBSDP) control strategy is proposed in this study to reduce the energy and fuel consumptions. Using the torque prediction method, the optimization control strategy can be used in real time to improve the fuel efficiency. The required torque of the proposed hydraulic hybrid excavator was analyzed. The minimum length of the required torque sample needed to estimate the trend in the required torque change was obtained using approximate mean estimation. The required torque sample was divided into complete cycles using empirical mode decomposition. The required torque of the next period was predicted using a signal superposition technique. The proposed PBSDP control strategy was then applied based on the predicted required torque. The displacement of the auxiliary pump/motor was selected as the control variable whereas the pressure of the accumulator connected to the auxiliary pump/motor was selected as the state variable. The value function was calculated based on the predicted required torque and charging state of the accumulator. The controller was used to minimize the value function by adjusting the displacement of the auxiliary pump/motor. In addition, a numerical experiment was conducted to analyze the rotation torque, energy consumption, and fuel consumption of an internal combustion engine (ICE). The numerical experiment results show that the proposed PBSDP control strategy helps in reducing the maximum torque, energy consumption, and fuel consumption of the ICE by 15, 20, and 26%, respectively.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.014
      Issue No: Vol. 83 (2017)
       
  • A tunnel information modelling framework to support management,
           simulations and visualisations in mechanised tunnelling projects
    • Authors: Christian Koch; Andre Vonthron; Markus König
      Pages: 78 - 90
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Christian Koch, Andre Vonthron, Markus König
      A transparent, holistic and detailed design of individual systems and processes in mechanised tunnelling is essential for a robust and low-risk construction of tunnels. In this context, the complex interactions between the ground, the boring machine, the tunnel lining and the built environment play a significant role. Traditionally, the entire tunnel design information is available in the form of independent, dispersed and heterogeneous data files. Since these data sources are barely linked in practice, unilateral decisions are made that do not consider all relevant aspects. Existing research has focused either on very general approaches of multi-model container or linked data models that have not been adapted to tunnelling projects, or on semantic tunnel models that solely cover small parts of the entire projects. In this paper a tunnel information modelling framework, basically integrating four interlinked subdomain models and linked project performance data, is presented. Due to their distinctive impact on the tunnel design and construction process a ground model, a boring machine model, a tunnel lining model, and a built environment model are first individually created, and then linked within an open IFC environment using the concepts of Proxies, Property Sets and Model View Definitions. Based on the proposed framework selected case studies are presented to verify its potential and advantages when (1) interactively visualizing time-dependent settlement monitoring data in an environment-aware context and (2) generating advanced numerical simulation models to predict settlements. These case studies are conducted using real project data of the metro tunnelling project Wehrhahn-Linie in Düsseldorf, Germany.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.07.006
      Issue No: Vol. 83 (2017)
       
  • Energy conservation through flexible HVAC management in large spaces: An
           IPS-based demand-driven control (IDC) system
    • Authors: Wei Wang; Jiayu Chen; Yujie Lu; Hsi-Hsien Wei
      Pages: 91 - 107
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Wei Wang, Jiayu Chen, Yujie Lu, Hsi-Hsien Wei
      Buildings consume substantial amounts of energy and require sophisticated control strategies to fulfill occupants' comfort requirements. In large spaces, various occupancy patterns result in uneven load distributions, requiring high-resolution occupancy information for sufficient system control. In recent years, the development of indoor positioning systems (IPS) enabled the possibility of more scientific and precise occupancy detection systems, leading to better operation of buildings' HVAC systems. This paper proposes a demand-driven control system for air conditioner control in large spaces based on IPS. The proposed system focuses on optimizing the ventilation rate based on number of occupants and their spatial distribution in an experimental space. A dual-network (Wi-Fi network and BLE network) indoor positioning system is installed to collect the occupancy data and guide the operation of Variable-Air-Volume (VAV) boxes. The energy-saving potential of the proposed system is examined with a computational fluid dynamics (CFD) model in terms of temperature distribution and energy consumption. This study also explores the interrelationship between cooling load variation and occupancy pattern under different control mechanisms. The final results show the proposed system has significant energy-saving potential by avoiding over-cooling in unevenly distributed occupancy conditions.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.021
      Issue No: Vol. 83 (2017)
       
  • Addressing design preferences via auto-associative connectionist models:
           Application in sustainable architectural Façade design
    • Authors: Ioannis Chatzikonstantinou; I. Sevil Sariyildiz
      Pages: 108 - 120
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Ioannis Chatzikonstantinou, I. Sevil Sariyildiz
      Truly successful designs are characterized by both satisfaction of design goals and the presence of desirable physical features. Experienced design professionals are able to exercise their cognition to satisfy both aspects to a high degree. However, complex design tasks represent challenges for human cognition, and as such computational decision support systems emerge as a relevant topic. We present a computational decision support framework for treating preferences related to physical design features. The proposed framework is based on auto-associative machine learning models that inductively learn relationships between design features characterizing highly performing designs. The knowledge matter to be learned is derived through multi-objective stochastic optimization. The resulting auto-associative models are excited with a preference vector containing a favorable composition of design features. The models are able to alleviate those relationships that result in shortcomings of performance. The model thus outputs well performing design solution, where preferences pertaining to physical features are also satisfied, to the extent possible. The paper focuses on the applicability of the proposed approach in architectural design, as an exceptional example of complex design, discusses methods to evaluate model performance, and validates the proposed method through an application focusing on the design of a sustainable façade.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.007
      Issue No: Vol. 83 (2017)
       
  • Work packaging with BIM
    • Authors: Shabtai Isaac; Mauro Curreli; Yaniv Stoliar
      Pages: 121 - 133
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Shabtai Isaac, Mauro Curreli, Yaniv Stoliar
      The fact that a large portion of the work in construction projects is usually carried out by different subcontractors, makes an effective work packaging process crucial for the subsequent execution planning. However, the definition of optimal work packages is currently challenging and time consuming. A method was developed to allow the work packaging process to be carried out in a more accurate and efficient way, using data from Building Information Models (BIM). This method is based on a bottom-up approach that can take into account relations between specific components, and the consequent interruptions that will occur in the construction processes. The method incorporates BIM data in Design Structure Matrices and Domain Mapping Matrices to automatically generate a list of proposed work packages with minimal interfaces. An application of the method in a case study demonstrated that it can accelerate the work packaging process, and allow alternative solutions to be explored at an early stage in the project.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.030
      Issue No: Vol. 83 (2017)
       
  • Accurate measurement of pavement deflection velocity under
           dynamic loads
    • Authors: Li He; Hong Lin; Qin Zou; Dejin Zhang
      Pages: 149 - 162
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Li He, Hong Lin, Qin Zou, Dejin Zhang
      Bearing capacity is one of the most important indices that reflects the condition of road pavements. For high-speed and non-destructive measurement of bearing-capacity values, advanced dynamic deflectometers have been developed in the past decade. The deflection range is typically computed based on the Euler-Bernoulli elastic equation with a number of deflection velocity values. The deflection velocity refers to the vertical velocity of pavement deflection under a force action; it can be captured by a number of positions in the deflection basin by laser Doppler sensors. Thus, the accurate measurement of deflection velocity is of vital importance to the performance of a deflectometer system. In this paper, we consider the problem of accurately measuring the deflection velocity based on dynamic posture and calibration. Both methods build the relationship between the measured values and the relative postures of the sensors and targets. We first validate the effectiveness of the static calibration that determines the relative postures of the sensors with indoor settings. Second, with respect to self-correlation of the velocity values, the dynamic-posture-based method and the calibration-based method are compared. Third, the impact of traffic speed on the measuring results is investigated. Last, we further validate the accuracy of the measured velocity by computing deflection ranges and comparing them to ground-truth values. Experiments in real measuring tasks demonstrated that both the calibration-based method and the dynamic-posture-based method can produce accurate and effective results.
      Graphical abstract image

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.012
      Issue No: Vol. 83 (2017)
       
  • An algorithm for optimizing terrestrial laser scanning in tunnels
    • Authors: Carlos Cabo; Celestino Ordóñez; Ramón Argüelles-Fraga
      Pages: 163 - 168
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Carlos Cabo, Celestino Ordóñez, Ramón Argüelles-Fraga
      This article describes a new method for planning terrestrial laser scanning (TLS) measurements in tunnels that determines the optimal positions of the scanner throughout the tunnel. The method is implemented in an algorithm that automatically establishes the minimum number of scanner positions and their relative positions, while assuring the fulfillment of a set of quality restrictions for the point cloud. The quality requirements are based on the study of the incidence angle expected for the laser beam on the tunnel surface, the distance to the sensor and the point density. The algorithm works in tunnels with straight or curved axes whose cross-sections can be approximated by circular and/or elliptical arcs.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.028
      Issue No: Vol. 83 (2017)
       
  • Developing owner information requirements for BIM-enabled project delivery
           and asset management
    • Authors: Hasan Burak Cavka; Sheryl Staub-French; Erik A. Poirier
      Pages: 169 - 183
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Hasan Burak Cavka, Sheryl Staub-French, Erik A. Poirier
      Building information modeling (BIM) is emerging as a potential solution for facility owners to address the challenges of poor information fidelity, interoperability, and usability in project delivery to support the lifecycle of their assets' information. Despite the many benefits offered by BIM, its use for facility operations remains significantly limited. The reality is that implementing BIM in large owner organisations is a complex challenge. In particular, a significant barrier to BIM adoption for owners is the challenge of identifying and formalizing the information requirements needed to support model-based project delivery and asset management. This paper presents the results of a longitudinal research project that investigated two large owner organisations in Canada to better understand the process of developing and formulating BIM requirements to support the lifecycle of their assets. Specifically, the objectives were to formalize an iterative approach to the identification and characterization of owner requirements and to develop a conceptual framework that would relate digital and physical products to owner requirements and organisational constructs, to underpin the formalization process. As part of this research an array of requirements documentation were analysed, interviews were performed with numerous facility management personnel, and BIMs from four projects were analysed. A methodology is introduced to support a rigorous and detailed analysis of BIM requirements. The investigation of the owner requirements helped to develop an understanding of the required information content, and its alignment with BIM. Finally the relationships between organisational constructs, owner requirements, and BIM were mapped. As the construction industry shifts towards model-based project delivery, this research will inform owners about how to think about handover of digital facility models, and what to require in models based on their specific needs.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.006
      Issue No: Vol. 83 (2017)
       
  • Automated re-prefabrication system for buildings using robotics
    • Authors: Cuong Kasperzyk; Min-Koo Kim; Ioannis Brilakis
      Pages: 184 - 195
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Cuong Kasperzyk, Min-Koo Kim, Ioannis Brilakis
      Prefabrication has the advantages of simplicity, speed and economy but has been inflexible to changes in design which is a primary reason behind its limited market share in the construction industry. To tackle this drawback, this study presents a Robotic Prefabrication System (RPS) which employs a new concept called “re-fabrication”: the automatic disassembly of a prefabricated structure and its reconstruction according to a new design. The RPS consists of a software module and a hardware module. First, the software employs the 3D model of a prefabricated structure as input, and returns motor control command output to the hardware. There are two underlying algorithms developed in the software module. First, a novel algorithm automatically compares the old and new models and identifies the components which the two models do not have in common in order to enable disassembly of the original structure and its refabrication into the new design. In addition, an additional novel algorithm computes the optimal refabrication sequence to transform one model into another according to the differences identified. Meanwhile, the hardware module takes the motor control commands as input and executes the appropriate assembly/disassembly operations, and returns the desired refabricated structure in real-time. Validation tests on two lab-scaled prefabricated structures demonstrate that the system successfully generated the desired refabrication sequences and performed all assembly operations with acceptable placement precision.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.002
      Issue No: Vol. 83 (2017)
       
  • Pothole detection on asphalt pavements from 2D-colour pothole images using
           fuzzy c-means clustering and morphological reconstruction
    • Authors: Yashon O. Ouma; M. Hahn
      Pages: 196 - 211
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Yashon O. Ouma, M. Hahn
      In general, potholes on asphalt pavements can be detected and represented in 2D and 3D. However, pothole detections through 3D imaging and image reconstructions have proven to be expensive in terms of acquisition equipment and the computational and processing requirements and time. For potholes at incipient formations, their detection, representation and quantification in terms of the surface-area are important for timely maintenance and repairs. By casting pavement image segmentation for pothole detection as a problem of clustering multivariate features within mixed pixels (mixels), this study presents a low-cost 2D vision image-based approach for the detection of potholes on asphalt road pavements in urban areas. The approach in this study is based on the a priori integration of multiscale texture-based image filtering for textons representation using wavelet transform, into the superpixel clustering of the pavement defects and non-defects using fuzzy c-means (FCM) algorithm. For the extraction of the defects extrema (minima and maxima) in the hybrid wavelet-FCM clustering results, fine segmentation based on morphological reconstruction is adopted to further smoothen and recognize the contour of the detected potholes. The methodology is implemented in a MATLAB prototype, tested and validated using 75 experimental image datasets. With a mean CPU run-time of 95 seconds, the average detection accuracies by comparing the study results and the manually segmented ground-truth data were determined using the Dice coefficient of similarity, Jaccard Index and sensitivity metric as 87.5%, 77.7% and 97.6% respectively. The average magnitudes of the mean and standard deviation of the percentage errors in pothole size extractions were detected as 8.5% and 4.9% respectively. The results of the study show that with well-planned road condition surveys, the proposed algorithm is suitable for the detection and extraction of incipient potholes from 2D vision images acquired using low-cost consumer-grade imaging sensors.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.017
      Issue No: Vol. 83 (2017)
       
  • Effects of interlocking on interlayer adhesion and strength of structures
           in 3D printing of concrete
    • Authors: Babak Zareiyan; Behrokh Khoshnevis
      Pages: 212 - 221
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Babak Zareiyan, Behrokh Khoshnevis
      3D printing of concrete uses computer controlled layering of cementitious material to fabricate structures. The paper presented here investigates the effect of interlocking on bond strength between layers of Contour Crafted structure using experimental approaches. A concrete mixture which is compatible with the existing extrusion system is used and different interlock configurations are tested. The results show that bonding strengths is sensitive to interlocking and it can be increased by an average of 26% as shown by splitting test.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.019
      Issue No: Vol. 83 (2017)
       
  • Isoradial meshes: Covering elastic gridshells with planar facets
    • Authors: Cyril Douthe; Romain Mesnil; Hugo Orts; Olivier Baverel
      Pages: 222 - 236
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Cyril Douthe, Romain Mesnil, Hugo Orts, Olivier Baverel
      Elastic gridshells are structures made of flat two-way grids which are deformed elastically before they are braced and which afterwards mechanically behave like continuous shells. Gridshells present some advantages in terms of manufacturing, lightness and time of assembly. Their covering remains however a technical issue. The present article proposes hence an alternative method to cover them by planar quadrilateral facets, which could also be used as natural bracing if connected properly. It relies on the duality between a certain family of circular meshes with a unique radius and some Tchebycheff nets. The approach is versatile and allows for the design of a large variety of shapes from two curves in space. Real time numerical tools are developed for open and closed curves as well as a strategy for umbilical points. The relaxation of the Tchebycheff net shows finally that an equilibrium configuration can be found in the vicinity of the planar quadrilateral mesh (PQ-Mesh) which confirm the practical feasibility of elastic gridshells covered with planar facets.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.015
      Issue No: Vol. 83 (2017)
       
  • Identification of workstations in earthwork operations from vehicle GPS
           data
    • Authors: Jiali Fu; Erik Jenelius; Haris N. Koutsopoulos
      Pages: 237 - 246
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Jiali Fu, Erik Jenelius, Haris N. Koutsopoulos
      The paper proposes a methodology for the identification of workstations in earthwork operations based on GPS traces from construction vehicles. The model incorporates relevant information extracted from the GPS data to infer locations of different workstations as probability distributions over the environment. Monitoring of workstation locations may support map inference for generating and continuously updating the layout and road network topology of the construction environment. A case study is conducted at a complex earthwork site in Sweden. The workstation identification methodology is used to infer the locations of loading stations based on vehicle speeds and interactions between vehicles, and the locations of dumping stations based on vehicle turning patterns. The results show that the proposed method is able to identify workstations in the earthwork environment efficiently and in sufficient detail.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.023
      Issue No: Vol. 83 (2017)
       
  • Classification of building systems for concrete 3D printing
    • Authors: R. Duballet; O. Baverel; J. Dirrenberger
      Pages: 247 - 258
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): R. Duballet, O. Baverel, J. Dirrenberger
      In the present paper, a study is conducted on building systems associated with concrete extrusion-based additive manufacturing techniques. Specific parameters are highlighted - concerning scale, environment, support, and assembly strategies - and a classification method is introduced. The objective is to explicitly characterise construction systems based on such printing processes. A cartography of the different approaches and subsequent robotic complexity is proposed. The state of the art gathered from the literature is mapped thanks to this classification. It appears that the disruption potential brought by concrete 3D printing has not been fully embraced yet.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.018
      Issue No: Vol. 83 (2017)
       
  • Building Information Modeling enabled Cascading Formwork Management Tool
    • Authors: Dolly Mansuri; Debaditya Chakraborty; Hazem Elzarka; Abhijeet Deshpande; Trevor Gronseth
      Pages: 259 - 272
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Dolly Mansuri, Debaditya Chakraborty, Hazem Elzarka, Abhijeet Deshpande, Trevor Gronseth
      Formwork systems are accountable for a significant share of the cost of reinforced concrete structures. The application of constructability principles to the design, selection and management of formwork systems in the preconstruction phase can significantly reduce the cost of reinforced concrete construction projects. Although many studies have developed tools and methodologies to automate the design and selection of formwork systems, few studies have explored the benefits of improving the process of managing formwork. The focus of this paper is on the use of BIM along with a cascading tool to maximize the return on formwork investment and improve the management of formwork. This paper presents an approach to utilize data drawn from the building information models coupled with a cascading algorithm to efficiently manage the formwork inventory on a construction project by generating a scheduled formwork reuse plan and calculating the minimum quantity of formwork required for the project. The paper discusses the use of BIM to extract data required for the cascading tool, working of the cascading algorithm and the development of the tool. The paper ends by presenting a case study where the developed tool was applied on a construction project in Cincinnati, Ohio and 13% savings in formwork material cost was reported.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.016
      Issue No: Vol. 83 (2017)
       
  • Coordinating multi-site construction projects using federated clouds
    • Authors: Ioan Petri; Tom Beach; Omer F. Rana; Yacine Rezgui
      Pages: 273 - 284
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Ioan Petri, Tom Beach, Omer F. Rana, Yacine Rezgui
      The requirements imposed by AEC (Architecture/Engineering/Construction) projects with regard to data storage and execution, on-demand data sharing and complexity on building simulations have led to utilising novel computing techniques. In detail, these requirements refer to storing the large amounts of data that the AEC industry generates — from building schematics to associated data derived from different contractors that are involved at various stages of the building lifecycle; or running simulations on building models (such as energy efficiency, environmental impact & occupancy simulations). Creating such a computing infrastructure to support operations deriving from various AEC projects can be challenging due to the complexity of workflows, distributed nature of the data and diversity of roles, profiles and location of the users. Federated clouds have provided the means to create a distributed environment that can support multiple individuals and organisations to work collaboratively. In this study we present how multi-site construction projects can be coordinated by the use of federated clouds where the interacting parties are represented by AEC industry organisations. We show how coordination can support (a) data sharing and interoperability using a multi-vendor Cloud environment and (b) process interoperability based on various stakeholders involved in the AEC project lifecycle. We develop a framework that facilitates project coordination with associated “issue status” implications and validate our outcome in a real construction project.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.011
      Issue No: Vol. 83 (2017)
       
  • Laser-based surface damage detection and quantification using predicted
           surface properties
    • Authors: Burcu Guldur Erkal; Jerome F. Hajjar
      Pages: 285 - 302
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Burcu Guldur Erkal, Jerome F. Hajjar
      Damage due to age or accumulated effects from hazards on existing structures poses a worldwide problem. In order to evaluate the current status of aging, deteriorating and damaged structures, it is vital to accurately assess the present conditions. It is possible to capture the in situ condition of structures by using laser scanners that create dense three-dimensional point clouds. This paper investigates the use of high resolution three-dimensional terrestrial laser scans coupled with images to capture geometric range data of complex scenes for surface damage detection and quantification. Although using images with varying resolution to detect cracks is an extensively researched topic, damage detection using laser scanners with and without color images is a new research area that holds many opportunities for enhancing the current practice of visual inspections. Thus, this paper mainly focuses on combining the best features of laser scans and images to create an automatic and effective surface damage detection method, which will reduce the need for skilled labor during visual inspections and allow automatic documentation of related information. A novel surface normal-based damage detection and quantification method that uses the local surface properties extracted from laser scanner data along with color information is presented. Color data provides information in the fourth dimension that enables detecting damage types such as cracks, corrosion, and related surface defects that are generally difficult to identify using only laser scanner.
      Graphical abstract image

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.08.004
      Issue No: Vol. 83 (2017)
       
  • Managing risk in modular construction using dimensional and geometric
           tolerance strategies
    • Authors: Yasaman Shahtaheri; Christopher Rausch; Jeffrey West; Carl Haas; Mohammad Nahangi
      Pages: 303 - 315
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Yasaman Shahtaheri, Christopher Rausch, Jeffrey West, Carl Haas, Mohammad Nahangi
      The accumulating effects of dimensional and geometric variability in modular construction have traditionally been managed using trial and error strategies and use of standardized tolerance values for similar stick-built construction scenarios. This approach often leads to site-fit rework and increase in project risk, since dimensional and geometric variability is more problematic in modular construction than stick-built construction due to module interfacing and erection on site. To address this persistent challenge within modular construction, this article presents a framework for an optimal design of dimensional and geometric variability through the use of comprehensive tolerance strategies by minimizing both fabrication costs and project risks. A methodology for developing tolerance strategies in modular construction is introduced and demonstrated using a case study on an industrial pipe chassis module. The proposed methodology links a structural analysis framework which aims to predict the performance of various assembly configurations to construction costs and various types of project risks. While structural analysis techniques mainly aim to predict failure modes and mechanisms of assemblies, this research aims to further enhance such models by adding risk and cost measures to the structural analysis models. This methodology aims to manage dimensional and geometric variability by the goal of reducing rework and decreasing project costs by providing a set of Pareto-optimal design solutions ranging from strict to lose tolerance control with respect to an amalgamated cost for module production and project risk. This allows the stakeholders, engineers and construction managers to better understand the trade-offs between fabrication costs and alignment, rework, safety, and transportation risks (in terms of cost) of modules, and therefore enhance the planning and design phases of modular construction.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.03.011
      Issue No: Vol. 83 (2017)
       
  • Near optimum selection of module configuration for efficient modular
           construction
    • Authors: Tarek Salama; Ahmad Salah; Osama Moselhi; Mohamed Al-Hussein
      Pages: 316 - 329
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Tarek Salama, Ahmad Salah, Osama Moselhi, Mohamed Al-Hussein
      Modular construction gained considerable momentum over the last decade due to its positive impact on project cost, schedule, quality, and safety. Current literature in this field focused on cranes selection and scheduling methods, without due consideration for optimum module configuration. This paper introduces a novel modular suitability indicator which utilizes five indices; 1) connections index (CI) to evaluate module connections using the matrix clustering technique, 2) transportation dimensions index (TDI) to evaluate module dimensions' effects on transportation, 3) transportation shipping distance index (TSDI) to evaluate the distance between manufacturing facility and the construction site, 4) crane cost penalty index (CCPI) to evaluate the crane cost relevant to the module placing rate, and 5) concrete volume index (CVI) to evaluate the project's foundation concrete quantities. Calculating the modular suitability index (MSI) provides a unified indicator to accomplish a near optimum selection of module configuration for efficient delivery in residential construction.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.03.008
      Issue No: Vol. 83 (2017)
       
  • Wristband-type wearable health devices to measure construction workers'
           physical demands
    • Authors: Sungjoo Hwang; SangHyun Lee
      Pages: 330 - 340
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Sungjoo Hwang, SangHyun Lee
      Recent advancements in wearable health devices equipped with biosensor systems (e.g., heart rate (HR) sensor) have provided an ample opportunity to continuously measure and understand workers' physical demands from construction work. Specifically, a relative measurement of physical demands, which is a percentage of HR reserve (%HRR), is convenient and useful by normalizing individual differences of HR. Since affordable HR monitoring using wearable devices (particularly, a comfortable wristband-type device: wristband hereafter) becomes available, %HRR-based physical demand measurement, which can be continuously calculated without interfering with workers' ongoing work, provides an enormous potential to protect workers' safety and health and to sustain expected productivity. This research investigates the usefulness of affordable %HRR-based physical demand measurement using a wristband from a case study of 19 workers in construction sites. The aim of the analysis is to examine the potential of this continuous measurement in capturing any significant physical demand variations, by investigating in-depth information on factors affecting physical demands (e.g., work tasks, individual and environmental factors). The results show that workers' physical demands are highly variable according to their working patterns (i.e., direct work, and indirect work including tool/equipment/material handling, traveling, and preparatory work), combined influences of work tasks, as well as individual and environmental factors (e.g., age and heat stress). These results demonstrate the need for continuous physical measurement during workers' ongoing work so that any significant high physical demands, which need to be avoided if possible, can be captured. The findings of this paper show that the continuous measurement of physical demands using a wristband provides rich information to understand, manage, and design physically demanding construction work (e.g., flexible work-rest cycle and managing demanding indirect work) by balancing workloads throughout a day and/or reducing unnecessary physical demands beyond direct work. By anticipating potential health and safety problems from excessive physical demands, as well as productivity loss before they occur, this research will have an ameliorative impact across the construction industry.
      Graphical abstract image

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.06.003
      Issue No: Vol. 83 (2017)
       
  • Wearable sensors for monitoring on-duty and off-duty worker physiological
           status and activities in construction
    • Authors: Wonil Lee; Ken-Yu Lin; Edmund Seto; Giovanni C. Migliaccio
      Pages: 341 - 353
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Wonil Lee, Ken-Yu Lin, Edmund Seto, Giovanni C. Migliaccio
      Total Worker Health® (TWH) integrates occupational health and safety with the promotion of workers' off-duty wellbeing. Wearable sensors (e.g., activity trackers and physiological monitors) have facilitated personalized objective measurement of workers' health and wellbeing. Furthermore, the TWH concept is relevant to construction workers, especially roofing workers, as they encounter high on-duty health and safety risks and have poor off-duty lifestyles. This study examined the reliability and usability of wearable sensors for monitoring roofing workers' on-duty and off-duty activities. The results demonstrated the usability of these sensors and recommended a data collection period of three consecutive days for obtaining an intraclass correlation coefficient of ≥0.75 for heart rate, energy expenditure, metabolic equivalents, and sleep efficiency. The participants exhibited significant variations in their physical responses, health statuses, and safety behaviors. Moreover, several issues were identified in the application of wearable sensors to TWH evaluations for construction workers including roofers.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.06.012
      Issue No: Vol. 83 (2017)
       
  • A force transmission assessment method for thrust system in shield
           machines based on the relative coefficient in compound ground
    • Authors: Kongshu Deng; Cong Xiang; Bangliang Meng; Huangong Wang
      Pages: 354 - 359
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Kongshu Deng, Cong Xiang, Bangliang Meng, Huangong Wang
      An evaluation method for force transmission in the thrust system of tunneling machines in compound ground was investigated in this study. First, the mechanical model for a pushing system in heterogeneous ground was constructed. Then, the relative coefficient of eccentricity on a conical surface was determined based on the mechanical model. Subsequently, the uniformity degree of force transmission in the thrust system was measured using the relative thrust coefficients of eccentricity. Eventually, the performance of force transmission under various arrangements with an equal number of jacks was discussed in detail by applying the conical model of eccentricity to the thrust mechanism of a tunneling machine used in engineering projects. The 3D parameter models for the thrust system of an earth pressure balance shield machine (diameter: 6.34m) were established using SolidWorks. In addition, a propelling system with 22 hydraulic cylinders was simulated via the automatic dynamic analysis of mechanical systems (ADAMS). Results of the numerical analysis agree well with those simulated by ADAMS. The results provide a theoretical basis and support for choosing a non-equidistant driving system in a composite stratum.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.07.002
      Issue No: Vol. 83 (2017)
       
  • Remote sensing of concrete bridge decks using unmanned aerial vehicle
           infrared thermography
    • Authors: Tarek Omar; Moncef L. Nehdi
      Pages: 360 - 371
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Tarek Omar, Moncef L. Nehdi
      The present study explores the potential application of unmanned aerial vehicle (UAV) Infrared Thermography for detecting subsurface delaminations in concrete bridge decks, which requires neither traffic interruption nor physical contact with the deck being inspected. A UAV-borne thermal imaging system was utilized to survey two in-service concrete bridge decks. The inspection process involved the acquisition of thermal images via low altitude flights using a high resolution thermal camera. The images were then enhanced and stitched together using custom developed codes to create a mosaic thermal image for the entire bridge deck. Image analysis based on the k-means clustering technique was utilized to segment the mosaic and identify objective thresholds. Hence, a condition map delineating different categories of delamination severity was created. The results were validated using data generated by other non-destructive testing technologies on the same bridge decks, namely hammer sounding and half-cell potential testing. The findings reveal that UAV with high-resolution thermal infrared imagery offers an efficient tool for precisely detecting subsurface anomalies in bridge decks. The proposed methodology allows more frequent and less costly bridge deck inspection without traffic interruption. This should enable rapid bridge condition assessment at various service live stages, thus effectively allocating maintenance and repair funds.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.06.024
      Issue No: Vol. 83 (2017)
       
  • Safety barrier warning system for underground construction sites using
           Internet-of-Things technologies
    • Authors: C. Zhou; L.Y. Ding
      Pages: 372 - 389
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): C. Zhou, L.Y. Ding
      This paper proposes an Internet-of-Things-based (IoT-based) safety barrier warning system to achieve a safer underground construction site. A focus of this paper is to establish a hazard energy monitoring system and use IoT to generate early warnings and alarms as dynamical safety barriers for hazard energy on underground construction sites. To ensure the performance of the proposed system, the hazard energies and their coupling mechanisms was analyzed to provide safety barrier strategies and scenarios for avoiding unsafe behaviors and unsafe status of construction equipment and workers' environment. The IoT technologies, such as meter-level of RFID-based location and tracking technology, centimeter-level of ultrasonic detection technology, and infrared access technology and so on, were developed in three-tier network architecture to help workers change their risky behaviors and avoid accidents on the changing construction site. The implementation in Yangtze River-crossing Metro Tunnel Construction site has shown the safety performance was improved and the occurrence of accident caused by hazard energy on site could be prevented.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.07.005
      Issue No: Vol. 83 (2017)
       
  • Image-based construction hazard avoidance system using augmented reality
           in wearable device
    • Authors: Kinam Kim; Hongjo Kim; Hyoungkwan Kim
      Pages: 390 - 403
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Kinam Kim, Hongjo Kim, Hyoungkwan Kim
      Construction sites are inherently dynamic due to continuous resource changes. As construction projects become bigger and more complex, this dynamism can lead to more frequent incidents on jobsites. Safety training, personal protective equipment, and regulations have been applied to improve the safety of construction sites. However, because of the dynamic and congested nature of construction sites, these practices still cannot guarantee safety. This paper proposes a vision-based hazard avoidance system that proactively informs workers of potentially dangerous situations. The system enables workers to recognize and consequently avoid dangers before accidents occur by displaying augmented hazard information on a wearable device. The system comprises of three modules; a vision-based site monitoring module that utilizes image capture device and wearable devices to identify site hazards, a safety assessment module that uses captured image data and fuzzy-based reasoning to evaluate the safety level of each object, and a visualization module that provides actionable information such as hazard orientation, distance, and safety level. The safety information provided by the proposed system can mitigate hazards and improve construction site safety.

      PubDate: 2017-09-01T19:46:40Z
      DOI: 10.1016/j.autcon.2017.06.014
      Issue No: Vol. 83 (2017)
       
  • Skeleton estimation of excavator by detecting its parts
    • Authors: Mohammad Mostafa Soltani; Zhenhua Zhu; Amin Hammad
      Pages: 1 - 15
      Abstract: Publication date: October 2017
      Source:Automation in Construction, Volume 82
      Author(s): Mohammad Mostafa Soltani, Zhenhua Zhu, Amin Hammad
      Knowing the near real-time pose of the construction equipment is an important necessity for improving safety and productivity of construction processes. A safer construction site can be achieved by accurately capturing the movements of the equipment and their parts using motion tracking techniques. Recently, the application of Computer Vision (CV) techniques is growing, especially considering that other techniques have difficulties with the deployment and high cost. From the productivity point of view, knowing the pose of the equipment helps to estimate the time that the operator spent on each state of his/her operations. For this purpose, each part or joint of the equipment must be recognized and tracked. Extracting this information requires either using depth sensors or stereo vision, which includes the image information of two or more Red Green Blue (RGB) cameras that have overlapping views. Since the reading range of the common and affordable depth sensors are limited to few meters, this research chooses to use RGB cameras. The most challenging step for this purpose is to process the data of each camera individually for extracting the 2D skeleton of the equipment. After having the 2D skeleton of the equipment from each camera, the 3D pose can be further estimated using the relative rotation and translation information between the cameras coordinate systems. This paper mainly focuses on determining the 2D skeleton of excavators based on the videos received from the cameras available on the site. The method takes advantage of synthetic images of each excavator's part to train the parts' detectors. After detecting the parts, the backgrounds of the detected parts are subtracted. The remaining pixels from the previous step are processed to estimate the skeleton of each part. The final skeleton of the excavator is derived by connecting the individual skeletons of each part to their adjacent parts considering the kinematic information of the excavator.
      Graphical abstract image

      PubDate: 2017-07-24T07:22:44Z
      DOI: 10.1016/j.autcon.2017.06.023
      Issue No: Vol. 82 (2017)
       
  • Inside Front Cover: Editorial Board
    • Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83


      PubDate: 2017-09-01T19:46:40Z
       
  • Inside Front Cover: Editorial Board
    • Abstract: Publication date: October 2017
      Source:Automation in Construction, Volume 82


      PubDate: 2017-09-01T19:46:40Z
       
  • “JA-WA” - A wall construction system using unilateral material
           application with a mobile robot
    • Authors: Andrzej
      Abstract: Publication date: November 2017
      Source:Automation in Construction, Volume 83
      Author(s): Andrzej Więckowski
      Prototypical JA-WA technology is envisaged for automatic concrete laying of composite walls by utilizing a scaffolding rail assembled on site and a mobile robot that moves along the scaffolding with an injector which applies the material. The system integrates design and automatic control of the builder and insures quality control of the wall construction. JA-WA construction occurs in the “reverse” order when compared to standard methods. Wall construction begins with the outer layer, namely the sheathing element or thermal insulation. The surface of this outer layer acts as a light, unilateral form-board for applying the structural concrete layer upon it. The structural material is placed in thin layers, forming slight load. Subsequent layers are made in timed intervals allowing for their placement in the “wet on wet” system, and where the previously placed material could transfer part or the entire load from the material placed later. A computer-controlled automatic robot moves along systemic rail and performs the jetting of the structural mixture along with the finishing of the wall surface. The robot cooperates with the automatic material preparation and transport system. General characteristics of the system, along with equipment performance, have been presented in an example of the execution of a composite wall with a load-bearing frame of reinforced concrete. Executive feasibility and properties of JA-WA walls have been analyzed in the context of state-of-the-art wall systems based on porous ceramic masonry bricks and multi-hole sand-and-lime blocks. Original features of the JA-WA system include: a lightweight, inexpensive automatic robot at the site, which relieves humans from hard physical labor; lower investment of manpower, materials and capital; and lightweight walls with good thermal insulation.

      PubDate: 2017-08-02T23:34:42Z
       
 
 
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