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  Subjects -> COMPUTER SCIENCE (Total: 1969 journals)
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COMPUTER SCIENCE (1147 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: 11)
Abakós     Open Access   (Followers: 3)
Academy of Information and Management Sciences Journal     Full-text available via subscription   (Followers: 67)
ACM Computing Surveys     Hybrid Journal   (Followers: 23)
ACM Journal on Computing and Cultural Heritage     Hybrid Journal   (Followers: 8)
ACM Journal on Emerging Technologies in Computing Systems     Hybrid Journal   (Followers: 13)
ACM Transactions on Accessible Computing (TACCESS)     Hybrid Journal   (Followers: 4)
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: 12)
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: 19)
ACM Transactions on Intelligent Systems and Technology (TIST)     Hybrid Journal   (Followers: 9)
ACM Transactions on Interactive Intelligent Systems (TiiS)     Hybrid Journal   (Followers: 4)
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: 10)
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: 10)
Advanced Engineering Materials     Hybrid Journal   (Followers: 24)
Advanced Science Letters     Full-text available via subscription   (Followers: 5)
Advances in Adaptive Data Analysis     Hybrid Journal   (Followers: 8)
Advances in Artificial Intelligence     Open Access   (Followers: 14)
Advances in Artificial Neural Systems     Open Access   (Followers: 4)
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: 3)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 53)
Advances in Engineering Software     Hybrid Journal   (Followers: 25)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 9)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 23)
Advances in Human-Computer Interaction     Open Access   (Followers: 19)
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: 35)
Advances in Science and Research (ASR)     Open Access   (Followers: 6)
Advances in Technology Innovation     Open Access  
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: 9)
American Journal of Computational and Applied Mathematics     Open Access   (Followers: 3)
American Journal of Computational Mathematics     Open Access   (Followers: 4)
American Journal of Information Systems     Open Access   (Followers: 6)
American Journal of Sensor Technology     Open Access   (Followers: 2)
Anais da Academia Brasileira de Ciências     Open Access   (Followers: 2)
Analog Integrated Circuits and Signal Processing     Hybrid Journal   (Followers: 5)
Analysis in Theory and Applications     Hybrid Journal  
Animation Practice, Process & Production     Hybrid Journal   (Followers: 5)
Annals of Combinatorics     Hybrid Journal   (Followers: 3)
Annals of Data Science     Hybrid Journal   (Followers: 8)
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: 13)
Applied Categorical Structures     Hybrid Journal   (Followers: 2)
Applied Clinical Informatics     Hybrid Journal   (Followers: 1)
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: 31)
Applied Medical Informatics     Open Access   (Followers: 9)
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: 4)
Archive of Numerical Software     Open Access  
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 4)
Artifact     Hybrid Journal   (Followers: 2)
Artificial Life     Hybrid Journal   (Followers: 5)
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: 8)
Automation in Construction     Hybrid Journal   (Followers: 6)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 7)
Basin Research     Hybrid Journal   (Followers: 3)
Behaviour & Information Technology     Hybrid Journal   (Followers: 52)
Bioinformatics     Hybrid Journal   (Followers: 232)
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: 16)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 31)
Briefings in Bioinformatics     Hybrid Journal   (Followers: 45)
British Journal of Educational Technology     Hybrid Journal   (Followers: 119)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 10)
c't Magazin fuer Computertechnik     Full-text available via subscription   (Followers: 1)
CALCOLO     Hybrid Journal  
Calphad     Hybrid Journal  
Canadian Journal of Electrical and Computer Engineering     Full-text available via subscription   (Followers: 12)
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)
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: 13)
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: 18)
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: 47)
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  
Computational Biology and Chemistry     Hybrid Journal   (Followers: 12)
Computational Chemistry     Open Access   (Followers: 2)
Computational Cognitive Science     Open Access   (Followers: 1)
Computational Complexity     Hybrid Journal   (Followers: 4)
Computational Condensed Matter     Open Access  
Computational Ecology and Software     Open Access   (Followers: 8)
Computational Economics     Hybrid Journal   (Followers: 9)
Computational Geosciences     Hybrid Journal   (Followers: 12)
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: 27)
Computer     Full-text available via subscription   (Followers: 78)
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: 8)
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: 13)
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: 10)
Computer Science Education     Hybrid Journal   (Followers: 12)
Computer Science Journal     Open Access   (Followers: 20)
Computer Science Master Research     Open Access   (Followers: 9)
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  [3031 journals]
  • Corrigendum to “Object composite query method using IFC and LandXML
           based on BIM linkage model” [Autom. Constr. (2017) 14–23]
    • Authors: Tae Wook Kang
      First page: 1
      Abstract: Publication date: September 2017
      Source:Automation in Construction, Volume 81
      Author(s): Tae Wook Kang

      PubDate: 2017-04-25T20:05:59Z
      DOI: 10.1016/j.autcon.2017.04.011
      Issue No: Vol. 81 (2017)
  • On human-centric and robot-centric perspective of a building model
    • Authors: Wojciech Turek; Krzysztof Cetnarowicz; Adam Borkowski
      Pages: 2 - 16
      Abstract: Publication date: September 2017
      Source:Automation in Construction, Volume 81
      Author(s): Wojciech Turek, Krzysztof Cetnarowicz, Adam Borkowski
      The effectiveness of mobile robots operating in buildings depends strongly on their ability to cooperate with people. The cooperation requires a common language for communication. In this paper, the problem of modelling buildings in the context of communication between humans and robots is considered. Significant differences between the perception of building elements by humans and robots are discussed at the onset. This analysis allows us to propose a human-oriented building model, which represents elements, features and relations used by people in communication. This model warrants the unambiguous identification of building elements, which forms a good basis for the communication between humans and robots. Further, the model is implemented by means of a flexible, document-based database. Finally, a mapping between the proposed model and the existing robot-oriented models of buildings is proposed, followed by case studies that demonstrate the usage of the proposed methodology.

      PubDate: 2017-05-13T08:38:24Z
      DOI: 10.1016/j.autcon.2017.03.018
      Issue No: Vol. 81 (2017)
  • Mining implicit 3D modeling patterns from unstructured temporal BIM log
           text data
    • Authors: Saman Yarmohammadi; Reza Pourabolghasem; Daniel Castro-Lacouture
      Pages: 17 - 24
      Abstract: Publication date: September 2017
      Source:Automation in Construction, Volume 81
      Author(s): Saman Yarmohammadi, Reza Pourabolghasem, Daniel Castro-Lacouture
      Building information modeling is instrumental in documenting design, enhancing customer experience, and improving product functionality in capital projects. However, good building models do not happen by accident, but rather as a result of a managed process that involves several participants from different disciplines and backgrounds. Effective management of this process requires an ability to closely monitor the modeling process and correctly measure modelers' performance. Nevertheless, existing methods of performance monitoring in building design practices lack an objective measurement system to quantify modeling progress. The widespread utilization of Building Information Modeling (BIM) tools presents a unique opportunity to retrieve granular design process data and conduct accurate performance measurements. As a building's 3D model is gradually developed, model generation software packages, such as Autodesk Revit, automatically create log files that record design activities. This paper investigates what information these log files contain and how one can extract and further analyze the information to provide insight into the design modeling process. The specific objectives of this study were to: (1) investigate the presence of implicit patterns in 3-D design log files; and (2) to empirically characterize the performance of modelers based on the time it takes them to execute similar modeling tasks. To fulfill these objectives, design log files provided by an international architecture and design firm were analyzed. Using a tailored text file parser, user-model interaction data including modeler characteristics, command type, and command time were extracted from the journal files. To identify implicit command execution patterns, a sequence mining algorithm based on Generalized Suffix Trees (GST) was implemented. It was shown that there is a statistically significant difference between the average time it takes modelers to execute each command sequence. This study extends the existing knowledge by proposing a novel methodology to extract meaningful patterns from time-stamped unstructured design log data. This research contributes to the state of practice by providing a better understanding of information embedded in design log files.

      PubDate: 2017-05-23T04:14:15Z
      DOI: 10.1016/j.autcon.2017.04.012
      Issue No: Vol. 81 (2017)
  • Enhanced discrete particle swarm optimization path planning for UAV
           vision-based surface inspection
    • Authors: Manh Duong Phung; Cong Hoang Quach; Tran Hiep Dinh; Quang Ha
      Pages: 25 - 33
      Abstract: Publication date: September 2017
      Source:Automation in Construction, Volume 81
      Author(s): Manh Duong Phung, Cong Hoang Quach, Tran Hiep Dinh, Quang Ha
      In built infrastructure monitoring, an efficient path planning algorithm is essential for robotic inspection of large surfaces using computer vision. In this work, we first formulate the inspection path planning problem as an extended travelling salesman problem (TSP) in which both the coverage and obstacle avoidance were taken into account. An enhanced discrete particle swarm optimization (DPSO) algorithm is then proposed to solve the TSP, with performance improvement by using deterministic initialization, random mutation, and edge exchange. Finally, we take advantage of parallel computing to implement the DPSO in a GPU-based framework so that the computation time can be significantly reduced while keeping the hardware requirement unchanged. To show the effectiveness of the proposed algorithm, experimental results are included for datasets obtained from UAV inspection of an office building and a bridge.

      PubDate: 2017-05-23T04:14:15Z
      DOI: 10.1016/j.autcon.2017.04.013
      Issue No: Vol. 81 (2017)
  • Optimal single-machine batch scheduling for the manufacture,
           transportation and JIT assembly of precast construction with changeover
           costs within due dates
    • Authors: Liulin Kong; Hanbin Luo
      Pages: 34 - 43
      Abstract: Publication date: September 2017
      Source:Automation in Construction, Volume 81
      Author(s): Liulin Kong, Hanbin Luo
      The manufacture, transportation and on-site assembly sectors of precast construction projects are often considered separately and managed by rule of thumb, causing an inefficient use of resources and postponed delivery. This study views these sectors as a whole from the perspective of a single machine batch-scheduling problem. A dynamic programming algorithm, which aims to search for solutions that entail maximum production efficiency, was developed accordingly with the constraints of changeover costs and production deadlines. We tested the method’s ability by processing as many products as possible simultaneously using real data collected from a precast factory in a simulation and compared the effect with a previous study. We found that our method possesses great potential to improve the efficiency of precast production.
      Graphical abstract image

      PubDate: 2017-05-23T04:14:15Z
      DOI: 10.1016/j.autcon.2017.03.016
      Issue No: Vol. 81 (2017)
  • A review of developments in energy storage systems for hybrid excavators
    • Authors: Hongmei Wang; Qingfeng Wang; Baozan Hu
      Pages: 1 - 10
      Abstract: Publication date: August 2017
      Source:Automation in Construction, Volume 80
      Author(s): Hongmei Wang, Qingfeng Wang, Baozan Hu
      Hybrid technology applied to vehicles and construction machineries is one of the promising technologies to address environmental challenges. The energy storage system with higher power density, higher energy density, small size, long lifetime and low cost is essential for the hybrid system. This paper firstly analyzes the difference among the energy storing elements especially for battery and super capacitor (SC). Secondly, the advantages and disadvantages of different structures of energy storage systems are analyzed and compared. Thirdly, the energy storage systems and control strategies in hybrid excavators designed by different manufacturers and research institutions are analyzed in detail. Finally, the challenges in the energy storage system of hybrid excavators are discussed.

      PubDate: 2017-04-04T17:31:45Z
      DOI: 10.1016/j.autcon.2017.03.010
      Issue No: Vol. 80 (2017)
  • Conceptualising the FinDD API plug-in: A study of BIM-FM integration
    • Authors: E.A. Pärn; D.J. Edwards
      Pages: 11 - 21
      Abstract: Publication date: August 2017
      Source:Automation in Construction, Volume 80
      Author(s): E.A. Pärn, D.J. Edwards
      This research paper reports upon a client driven approach to iteratively develop the FinDD application programming interface (API) plug-in. FinDD integrates building information modelling (BIM) and facilities management (FM) via the novel development and application of totems. Totems visualise rich semantic FM data in a 3D object to extend the use and application of COBie thereby minimising costs incurred by the FM team to update and maintain the as-built BIM. Participatory action research was used to develop the proof of concept and involved a study of two multi-storey, mixed-use educational buildings (with a contract value worth ≥£150 million UK Sterling) located within Birmingham, UK. The lead researcher worked for the client's estates department and was instrumental in liaising with members of the project management team, synthesising their semantic data requirements and developing the FinDD API plug-in for Autodesk Revit. Research findings reveal that whilst FinDD was positively received as a bespoke extension of COBie (that was tailored to specifically meet client needs), further development is required to mitigate software inflexibility and augment automation of semantic data transfer, storage and analysis. Future work will validate the API plug-in via user experience and integrate additional databases such as post occupancy evaluations (POE).
      Graphical abstract image

      PubDate: 2017-04-04T17:31:45Z
      DOI: 10.1016/j.autcon.2017.03.015
      Issue No: Vol. 80 (2017)
  • A shared ontology approach to semantic representation of BIM data
    • Authors: Mehrdad Niknam; Saeed Karshenas
      Pages: 22 - 36
      Abstract: Publication date: August 2017
      Source:Automation in Construction, Volume 80
      Author(s): Mehrdad Niknam, Saeed Karshenas
      Architecture, engineering, construction and facility management (AEC-FM) projects involve a large number of participants that must exchange information and combine their knowledge for successful completion of a project. Currently, most of the AEC-FM domains store their information about a project in text documents or use XML, relational, or object-oriented formats that make information integration difficult. The AEC-FM industry is not taking advantage of the full potential of the Semantic Web for streamlining sharing, connecting, and combining information from different domains. The Semantic Web is designed to solve the information integration problem by creating a web of structured and connected data that can be processed by machines. It allows combining information from different sources with different underlying schemas distributed over the Internet. In the Semantic Web, all data instances and data schema are stored in a graph data store, which makes it easy to merge data from different sources. This paper presents a shared ontology approach to semantic representation of building information. The semantic representation of building information facilitates finding and integrating building information distributed in several knowledge bases. A case study demonstrates the development of a semantic based building design knowledge base.

      PubDate: 2017-04-04T17:31:45Z
      DOI: 10.1016/j.autcon.2017.03.013
      Issue No: Vol. 80 (2017)
  • A scientometric review of global BIM research: Analysis and visualization
    • Authors: Xianbo Zhao
      Pages: 37 - 47
      Abstract: Publication date: August 2017
      Source:Automation in Construction, Volume 80
      Author(s): Xianbo Zhao
      In the recent years, building information modeling (BIM) has transformed the architecture, engineering, and construction industry, and attracted attentions from both researchers and practitioners. However, few studies have attempted to map the global research on BIM. This study conducts a scientometric review of global BIM research in 2005–2016, through co-author analysis, co-word analysis and co-citation analysis. A total of 614 bibliographic records from the Web of Science core collection database were analyzed. The results indicated that Charles M. Eastman received the most co-citations and that the most significant development in BIM research occurred primarily in the USA, South Korea and China. Additionally, BIM research has primarily focused on the subject categories of engineering, civil engineering and construction & building technology, and the keywords “visualization” and “industry foundation classes (IFC)” received citation bursts in the recent years. Furthermore, 10 co-citation clusters were identified, and the hot topics of BIM research were: mobile and cloud computing, laser scan, augmented reality, ontology, safety rule and code checking, semantic web technology, and automated generation. This study provides researchers and practitioners with an in-depth understanding of the status quo and trend of the BIM research in the world.

      PubDate: 2017-04-11T17:47:45Z
      DOI: 10.1016/j.autcon.2017.04.002
      Issue No: Vol. 80 (2017)
  • Clustering of architectural floor plans: A comparison of
           shape representations
    • Authors: Eugénio Rodrigues; David Sousa-Rodrigues; Mafalda Teixeira de Sampayo; Adélio Rodrigues Gaspar; Álvaro Gomes; Carlos Henggeler Antunes
      Pages: 48 - 65
      Abstract: Publication date: August 2017
      Source:Automation in Construction, Volume 80
      Author(s): Eugénio Rodrigues, David Sousa-Rodrigues, Mafalda Teixeira de Sampayo, Adélio Rodrigues Gaspar, Álvaro Gomes, Carlos Henggeler Antunes
      Generative design methods are able to produce a large number of potential solutions of architectural floor plans, which may be overwhelming for the decision-maker to cope with. Therefore, it is important to develop tools which organise the generated data in a meaningful manner. In this study, a comparative analysis of four architectural shape representations for the task of unsupervised clustering is presented. Three of the four shape representations are the Point Distance, Turning Function, and Grid-Based model approaches, which are based on known descriptors. The fourth proposed representation, Tangent Distance, calculates the distances of the contour's tangents to the shape's geometric centre. A hierarchical agglomerative clustering algorithm is used to cluster a synthetic dataset of 72 floor plans. When compared to a reference clustering, despite good perceptual results with the use of the Point Distance and Turning Function representations, the Tangent Distance descriptor (Rand index of 0.873) provides the best results. The Grid-Based descriptor presents the worst results.
      Graphical abstract image

      PubDate: 2017-04-11T17:47:45Z
      DOI: 10.1016/j.autcon.2017.03.017
      Issue No: Vol. 80 (2017)
  • Bibliometric analysis and review of Building Information Modelling
           literature published between 2005 and 2015
    • Authors: Rúben Santos; António A. Costa; António Grilo
      Pages: 118 - 136
      Abstract: Publication date: August 2017
      Source:Automation in Construction, Volume 80
      Author(s): Rúben Santos, António A. Costa, António Grilo
      The use of Building Information Modelling (BIM) has increased in recent years, mostly due to the potential of the methodology for improving construction project performance and efficiency. With a view to achieving a better understanding of the research work on this subject, this paper conducts a bibliometric analysis and a review of existing literature on BIM focusing on the last decade. The authors selected the articles published in journals with an impact factor higher then 1.0, as well as the top 100 most cited articles. The search resulted on 381 articles, which were then categorised in order to systematise the research conducted over the years. The authors have not only analysed the existing literature but also highlighted new emerging fields in BIM research, being possible to identify Collaborative Environments and Interoperability, Sustainable Construction, BIM Adoption & Standardisation, and BIM Programming as the categories with the most significant growth in the last years. It was also observed that the most researched topics were related with the development of BIM tools, the study of BIM adoption worldwide, the energy simulation using BIM-based information and, more recently, with the semantic interoperability and ontology. On the other hand, the study on BIM at the academic level is very small, as well as parametric modelling and quantity take-off.

      PubDate: 2017-04-25T20:05:59Z
      DOI: 10.1016/j.autcon.2017.03.005
      Issue No: Vol. 80 (2017)
  • Identifying potential opportunities of building information modeling for
           construction and demolition waste management and minimization
    • Authors: Jongsung Won; Jack C.P. Cheng
      Pages: 3 - 18
      Abstract: Publication date: July 2017
      Source:Automation in Construction, Volume 79
      Author(s): Jongsung Won, Jack C.P. Cheng
      The amount of waste generated in construction and demolition (C&D) processes is enormous. Therefore, many studies on efficient C&D waste minimization and management have been conducted. However, 21 process-related and 8 technology-related limitations in C&D waste management and minimization have not yet been resolved. Building information modeling (BIM) helps project participants improve the processes and technologies in the planning, design, construction, and demolition phases, thereby managing and minimizing C&D waste efficiently. Therefore, this paper identifies the potential opportunities of BIM for efficient C&D waste management and minimization, such as design review, 3D coordination, quantity take-off, phase planning, site utilization planning, construction system design, digital fabrication, and 3D control and planning. The BIM-based approaches can support C&D waste management and minimization processes and technologies by addressing existing limitations through in-depth literature review. The roles of project participants and information required for each BIM-based approach in C&D waste management and minimization are discussed with illustrative process maps.

      PubDate: 2017-03-22T08:31:44Z
      DOI: 10.1016/j.autcon.2017.02.002
      Issue No: Vol. 79 (2017)
  • A BIM-based framework for lift planning in topsides disassembly of
           offshore oil and gas platforms
    • Authors: Yi Tan; Yongze Song; Xin Liu; Xiangyu Wang; Jack C.P. Cheng
      Pages: 19 - 30
      Abstract: Publication date: July 2017
      Source:Automation in Construction, Volume 79
      Author(s): Yi Tan, Yongze Song, Xin Liu, Xiangyu Wang, Jack C.P. Cheng
      Offshore oil and gas platforms (OOGPs) usually have a lifetime of 30–40years. An increasing number of OOGPs across the world will be retired and decommissioned in the coming decade. Therefore, a safe and efficient approach in planning the disassembly of the topsides of OOGPs is required. One commonly applied disassembly method is reverse installation, which moves the OOGP modules from the platform deck to a heavy lift vessel (HLV) in reverse order of their installation. Considering the high risk and cost of working offshore, shortening the lift time is crucial. In contrast to the traditional experience-driven lift operations, this paper describes minimizing the lift path for each OOGP module during disassembly, leveraging building information modeling (BIM) technology and an improved A* algorithm. BIM models provide accurate component-based geometric and semantic information that can be used for planning and optimization. However, there has been no previous study on the use of BIM for offshore disassembly. Industry Foundation Classes (IFC), which is a neutral data model of BIM, is used in this study to represent OOGP models. In particular, the IfcBuildingElementProxy entity is used to represent the OOGP components, and the information in IfcBuildingElementProxy is automatically extracted to obtain the location and dimension information of each OOGP module. Then, for a given layout of modules on the removal vessel, the lift path and removal sequence of different modules, with the shortest lift path distance, are obtained. The lift path distance is calculated using the A* algorithm, which has been widely applied in 2D environments and is modified in this study to suit the 3D environment. Finally, the genetic algorithm (GA) technique is applied to optimize the layout plan on the removal vessel by minimizing the total lift path distance. The developed BIM-based framework is illustrated and evaluated through an illustrative example. The results show that the proposed framework can generate and visualize the shortest lift path for each OOGP module directly and automatically, and significantly improve the efficiency of OOGP disassembly.

      PubDate: 2017-03-22T08:31:44Z
      DOI: 10.1016/j.autcon.2017.02.008
      Issue No: Vol. 79 (2017)
  • Error model of direct georeferencing procedure of terrestrial laser
    • Authors: Jelena Pandžić; Marko Pejić; Branko Božić; Verica Erić
      Pages: 13 - 23
      Abstract: Publication date: June 2017
      Source:Automation in Construction, Volume 78
      Author(s): Jelena Pandžić, Marko Pejić, Branko Božić, Verica Erić
      Processing of raw point cloud data obtained as a result of terrestrial laser scanning (TLS) sometimes involves georeferencing, i.e. transformation of point cloud data to an external coordinate system. This paper focuses on defining the error model of point positions obtained through a “station-orientation” procedure of direct georeferencing. The original error model presented by the authors relevant in this field is partly altered. All modifications are explained in detail within the paper and the reported model is statistically verified based on the carefully conducted experiment using Leica ScanStation P20 scanner. The obtained values of the uncertainty measures of direct georeferencing which are of a few millimetre magnitude prove that this procedure can be efficiently used for planning and carrying out even more demanding surveying tasks, including those during monitoring and maintenance of constructed facilities. Additionally, traversing capabilities of terrestrial laser scanners tightly connected with direct georeferencing should contribute to mass introduction of laser scanning into the construction industry thanks to its similarities to the highly automated procedures of polar surveying and traversing which are traditionally employed among surveyors.

      PubDate: 2017-03-22T08:31:44Z
      DOI: 10.1016/j.autcon.2017.01.003
      Issue No: Vol. 78 (2017)
  • A model-based decision support tool for building portfolios under
    • Authors: Eric Boxer; Gregor P. Henze; Adam I. Hirsch
      Pages: 34 - 50
      Abstract: Publication date: June 2017
      Source:Automation in Construction, Volume 78
      Author(s): Eric Boxer, Gregor P. Henze, Adam I. Hirsch
      Despite abundant energy use data, few facilities managers have a good benchmark for tracking energy performance in commercial buildings. Building energy self-benchmarking is an effective means of comparing performance to expectations. This paper presents an improved theory for a decision support tool that can self-benchmark building energy performance, identify energy faults, and quantify their severity. Detailed building energy simulation modeling of a big-box retail store with open source software is accessible and economical to industry for generating performance benchmarks. Methods of parametric sampling and uncertainty analysis are enhanced with detailed parameter uncertainty characterization. Uncertainty and sensitivity analysis are used to adjust risk tolerance thresholds for each unique monitored end-use. A dynamic cost function allows utility theory to compute expected costs covering multiple criteria. Improved theory for decision support tool is tested on ten faulted model scenarios placed in three climate zones. Finally, we demonstrate fault response prioritization.

      PubDate: 2017-03-22T08:31:44Z
      DOI: 10.1016/j.autcon.2017.01.015
      Issue No: Vol. 78 (2017)
  • Machine learning for durability and service-life assessment of reinforced
           concrete structures: Recent advances and future directions
    • Authors: Woubishet Zewdu Taffese; Esko Sistonen
      Pages: 1 - 14
      Abstract: Publication date: May 2017
      Source:Automation in Construction, Volume 77
      Author(s): Woubishet Zewdu Taffese, Esko Sistonen
      Accurate service-life prediction of structures is vital for taking appropriate measures in a time- and cost-effective manner. However, the conventional prediction models rely on simplified assumptions, leading to inaccurate estimations. The paper reviews the capability of machine learning in addressing the limitations of classical prediction models. This is due to its ability to capture the complex physical and chemical process of the deterioration mechanism. The paper also presents previous researches that proposed the applicability of machine learning in assisting durability assessment of reinforced concrete structures. The advantages of employing machine learning for durability and service-life assessment of reinforced concrete structures are also discussed in detail. The growing trend of collecting more and more in-service data using wireless sensors facilitates the use of machine learning for durability and service-life assessment. The paper concludes by recommending the future directions based on examination of recent advances and current practices in this specific area.

      PubDate: 2017-02-05T09:44:07Z
      DOI: 10.1016/j.autcon.2017.01.016
      Issue No: Vol. 77 (2017)
  • WBS-based dynamic multi-dimensional BIM database for total construction
           as-built documentation
    • Authors: Jaehyun Park; Hubo Cai
      Pages: 15 - 23
      Abstract: Publication date: May 2017
      Source:Automation in Construction, Volume 77
      Author(s): Jaehyun Park, Hubo Cai
      As-built documentation is valuable to assist decision-making in project control, and building operation and maintenance applications. Given the importance of as-built documentation, the quickly maturing technology of building information modeling (BIM), an object-oriented information-integration platform, has led to the emergence of concurrent as-built documentation during the construction phase. However, in the current practice, integrating construction records into BIM remains a challenge due to their heterogeneous and unstructured data formats. This paper presents a work breakdown structure (WBS)-based database design to enable the creation of a dynamic multi-dimensional BIM database to incorporate construction records in a timely manner. In this study, the construction records were defined as additional dimension, and a WBS code-based automated linking mechanism between construction project tasks and BIM objects was created to generate the multi-dimensional BIM database. The automatic linking mechanism and the WBS-based dynamic multi-dimensional BIM database were tested and verified through the implementation of a real construction project schedule and a BIM model. The test results illustrate that the newly created method is successful in incorporating construction records collected during the construction phase to generate a dynamic BIM database for generating complete as-built documentation.

      PubDate: 2017-02-05T09:44:07Z
      DOI: 10.1016/j.autcon.2017.01.021
      Issue No: Vol. 77 (2017)
  • JavaScript Object Notation (JSON) data serialization for IFC schema in
           web-based BIM data exchange
    • Authors: Kereshmeh Afsari; Charles M. Eastman; Daniel Castro-Lacouture
      Pages: 24 - 51
      Abstract: Publication date: May 2017
      Source:Automation in Construction, Volume 77
      Author(s): Kereshmeh Afsari, Charles M. Eastman, Daniel Castro-Lacouture
      In the building industry, building data such as objects and processes are described in Industry Foundation Classes (IFC) data model schema to support a neutral data exchange format for BIM tools interoperability. While IFC specification has been encoded in ifcXML format by buildingSMART to support XML-based data transmission, there is a lack of studies on the implementation of IFC specification using JavaScript Object Notation (JSON) serialization. JSON is a key-value style lightweight data exchange format that has higher parsing efficiency than XML and due to the inadequacies of XML, JSON has been widely used in Web applications, specifically in Asynchronous JavaScript and XML (AJAX) Web services. This paper highlights the need for JSON implementation of IFC specification and introduces ifcJSON Schema and its data content. The main objective of this study is to outline how IFC specification can be represented in JSON format. Therefore, the study explains the implementation of the IFC standard as a JSON schema to guide the creation of JSON documents. The ifcJSON documents can be used for web-based data transfer as an alternative to XML documents. Since current IFC specification release is IFC4 Add1, the implementation of ifcJSON4 schema is specified and guidelines for generating and validating ifcJSON documents are described. Additionally, this paper implements ifcJSON4 schema in a use case within the precast concrete domain by indicating the data content for a precast building element with its corresponding geometry representation, product placement, and owner history data. The analysis of results indicates that ifcJSON4 schema developed in this paper is a valid JSON schema that can guide the creation of valid ifcJSON documents to be used for web-based data transfer and to improve interoperability of Cloud-based BIM applications.
      Graphical abstract image

      PubDate: 2017-02-05T09:44:07Z
      DOI: 10.1016/j.autcon.2017.01.011
      Issue No: Vol. 77 (2017)
  • Integrating web map service and building information modeling for location
           and transportation analysis in green building certification process
    • Authors: Po-Han Chen; Thanh Chuong Nguyen
      Pages: 52 - 66
      Abstract: Publication date: May 2017
      Source:Automation in Construction, Volume 77
      Author(s): Po-Han Chen, Thanh Chuong Nguyen
      In green buildings design and construction, evaluating the sustainable effects of site location and transportation to the ecosystem and human life is a critical and difficult task. Works regarding these matters require experience, time, labor, and manual calculations. In recent years, many studies have been conducted to enhance the application of Building Information Modeling (BIM) in green building certifications. However, the application of BIM to site location and transportation analysis is usually considered impractical due to the lack of a powerful map application in present BIM products. The aim of this research is to develop a framework for the integration of BIM and Web Map Service (WMS) technologies for location and transportation analysis in green building certifications. Using Autodesk Revit API and Google Maps API as the development tools, this research converts the integration model into the BIM-integrated plugin in Autodesk Revit. The plugin is used to streamline the certification process of site location and transportation analysis in LEED (Leadership in Energy and Environmental Design), one of the most popular and globally recognized green building standards.

      PubDate: 2017-03-22T08:31:44Z
      DOI: 10.1016/j.autcon.2017.01.014
      Issue No: Vol. 77 (2017)
  • Construction worker's awkward posture recognition through supervised
           motion tensor decomposition
    • Authors: Jiayu Chen; Jun Qiu; Changbum Ahn
      Pages: 67 - 81
      Abstract: Publication date: May 2017
      Source:Automation in Construction, Volume 77
      Author(s): Jiayu Chen, Jun Qiu, Changbum Ahn
      Awkward postures in construction activities pose substantial hazards in both instantaneous injuries and long-term work-related musculoskeletal disorders (WMSDs). Posture recognition using motion capturing systems shows promising potential in avoiding and minimizing workers' exposure to awkward postures. However, current motion capturing systems require huge computational resources and complicated processes to recognize postures in construction tasks. To address this issue, we proposed an abstract and efficient motion tensor decomposition approach to compress and reorganize the motion data. Together with a multi-classification algorithm, the proposed approach is able to efficiently and accurately differentiate various postures. To validate the approach, we employed a system based on inertial measurement units (IMUs) to examine two sample activities composed of sequencing postures. The results indicate the proposed approach is able to provide sufficient recognition accuracy with less computation power and memory. Also, the idea of tensorization and tensor decomposition in this paper is extendable to other studies in the construction industry.

      PubDate: 2017-03-22T08:31:44Z
      DOI: 10.1016/j.autcon.2017.01.020
      Issue No: Vol. 77 (2017)
  • Improved Adaptive Harmony Search algorithm for the Resource Leveling
           Problem with minimal lags
    • Authors: J.L. Ponz-Tienda; A. Salcedo-Bernal; E. Pellicer; J. Benlloch-Marco
      Pages: 82 - 92
      Abstract: Publication date: May 2017
      Source:Automation in Construction, Volume 77
      Author(s): J.L. Ponz-Tienda, A. Salcedo-Bernal, E. Pellicer, J. Benlloch-Marco
      The Resource Leveling Problem (RLP) aims to provide the most efficient resource consumption as well as minimize the resource fluctuations without increasing the prescribed makespan of the construction project. Resource fluctuations are impractical, inefficient and costly when they happen on construction sites. Therefore, previous research has tried to find an efficient way to solve this problem. Metaheuristics using Harmony Search seem to be faster and more efficient than others, but present the same problem of premature convergence closing around local optimums. In order to diminish this issue, this study introduces an innovative Improved and Adaptive Harmony Search (IAHS) algorithm to improve the solution of the RLP with multiple resources. This IAHS algorithm has been tested with the standard Project Scheduling Problem Library for four metrics that provide different leveled profiles from rectangular to bell shapes. The results have been compared with the benchmarks available in the literature presenting a complete discussion of results. Additionally, a case study of 71 construction activities contemplating the widest possible set of conditions including continuity and discontinuity of flow relationships has been solved as example of application for real life construction projects. Finally, a visualizer tool has been developed to compare the effects of applying different metrics with an app for Excel. The IAHS algorithm is faster with better overall results than other metaheuristics. Results also show that the IAHS algorithm is especially fitted for the Sum of Squares Optimization metric. The proposed IAHS algorithm for the RLP is a starting point in order to develop user-friendly and practical computer applications to provide realistic, fast and good solutions for construction project managers.

      PubDate: 2017-02-05T09:44:07Z
      DOI: 10.1016/j.autcon.2017.01.018
      Issue No: Vol. 77 (2017)
  • Exterior prefabricated panelized walls platform optimization
    • Authors: Hisham M. Said; Tejaswini Chalasani; Stephanie Logan
      Pages: 1 - 13
      Abstract: Publication date: April 2017
      Source:Automation in Construction, Volume 76
      Author(s): Hisham M. Said, Tejaswini Chalasani, Stephanie Logan
      Panelized wall system (PWS) is an effective offsite prefabrication approach that provides higher flexibility and customization power compared to modular construction. Product platform is an industrial engineering approach that can help in managing the panels' layout and component proliferation in the effort to comply with varying design requirements. Accordingly, this paper presents the development, implementation, and validation of a new exterior panelized walls platform optimization (EPWPO) model that optimizes the tradeoff between minimizing the total fabrication cost of the panels and minimizing the resulting design deviation from enforcing common platform designs for the panels. Two new metrics were developed to quantify the two conflicting objectives of panel platform design: total fabrication cost (TFC) and design deviation index (DDI). New computational algorithms were developed to automate the functions of panel elements geometry manipulation, structural analysis, and structural design in conjunction with the optimization process. The performance of the EPWPO model was illustrated using an application example of the fabrication of the exterior wall panels of a public school. Two analyses were performed to investigate the dependence of the model results on the platform configuration input and the degree of wall length tolerances.

      PubDate: 2017-01-22T14:14:18Z
      DOI: 10.1016/j.autcon.2017.01.002
      Issue No: Vol. 76 (2017)
  • Ontology-based semi-supervised conditional random fields for automated
           information extraction from bridge inspection reports
    • Authors: Kaijian Liu; Nora El-Gohary
      Abstract: Publication date: Available online 20 May 2017
      Source:Automation in Construction
      Author(s): Kaijian Liu, Nora El-Gohary
      A large amount of detailed data about bridge conditions and maintenance actions are buried in bridge inspection reports without being used. Information extraction and data analytics open opportunities to leverage this wealth of data for improved bridge deterioration prediction and enhanced maintenance decision making. This paper proposes a novel ontology-based, semi-supervised conditional random fields (CRF)-based information extraction methodology for extracting information entities describing existing deficiencies and performed maintenance actions from bridge inspection reports. The ontology facilitates the analysis of the text based on content and domain-specific meaning. The proposed semi-supervised CRF simultaneously captures the dependency structures as well as the distributions of labeled and unlabeled data in a concave machine-learning function. It learns from a small set of fixed labeled data and, at the same time, dynamically adapts itself to unseen instances by further learning from a large set of unlabeled data for both reduced human effort and high performance. The proposed algorithm achieved an average precision, recall and, F-1 measure of 94.1%, 87.7%, and 90.7%, respectively.

      PubDate: 2017-05-23T04:14:15Z
      DOI: 10.1016/j.autcon.2017.02.003
  • Human-centered automation for resilient nuclear power plant outage control
    • Authors: Cheng Zhang; Pingbo Tang; Nancy Cooke; Verica Buchanan; Alper Yilmaz; Shawn W. St. Germain; Ronald Laurids Boring; Saliha Akca-Hobbins; Ashish Gupta
      Abstract: Publication date: Available online 14 May 2017
      Source:Automation in Construction
      Author(s): Cheng Zhang, Pingbo Tang, Nancy Cooke, Verica Buchanan, Alper Yilmaz, Shawn W. St. Germain, Ronald Laurids Boring, Saliha Akca-Hobbins, Ashish Gupta
      Nuclear power plant (NPP) outages are challenging construction projects. Delays in NPP outage processes can cause significant economic losses. In typical NPP outages, extremely busy outage schedules, large crew sizes, dynamic workspaces and zero tolerance of accidents pose challenges to ensuring the resilience of outage control, which should rapidly and proactively respond to delays, errors, or unexpected tasks added during outages. Two mutually interacting practical problems impede NPPs from achieving such resilient outage control: 1) how to control errors and wastes effectively during the “handoffs” between tasks, and 2) how to respond to numerous contingencies in NPP outage workflows in a responsive and proactive manner. A resilient NPP outage control system should address these two practical problems through “Human-Centered Automation (HCA),” which is improving the control process automation while fully considering human factors. Previous studies examined two categories of technologies that potentially enable HCA in outage control: 1) computational modeling and simulation methods for predicting states of field operations and workflows; 2) data collection and processing methods for capturing the reality and thus providing feedback to computational models. Unfortunately, limited studies systematically synthesize technological challenges related to these practical problems and underlying HCA principles. This paper identifies the domain requirements, challenges, and potential solutions of achieving the HCA system that effectively supports resilient NPP outage control. This proposed system aims at significantly improving the performance of handoff monitoring/control and responding to contingencies during the outage. Firstly, the authors identified information acquisition and modeling challenges of achieving human-center automation for outage control. The rest of the paper then synthesizes potential techniques available in the domains of computer science, cognitive science, system science, and construction engineering that can potentially address these challenges. The authors concluded this literature and technological review with a research roadmap for achieving HCA in construction.
      Graphical abstract image

      PubDate: 2017-05-18T01:20:07Z
      DOI: 10.1016/j.autcon.2017.05.001
  • Computationally efficient change analysis of piece-wise cylindrical
           building elements for proactive project control
    • Authors: Vamsi Sai Kalasapudi; Pingbo Tang; Yelda Turkan
      Abstract: Publication date: Available online 3 May 2017
      Source:Automation in Construction
      Author(s): Vamsi Sai Kalasapudi, Pingbo Tang, Yelda Turkan
      The designs of large-scale building systems, such as Mechanical, Electrical, and Plumbing (MEP) systems, undergo spatial changes during design-construction coordination, and as a result, their as-built conditions deviate, in some cases significantly, from their as-designed conditions. Construction engineers need to detect and analyze the differences between as-designed and as-built conditions of building systems promptly for responsive change management. Existing data-model comparison approaches either cannot correctly detect changed objects packed in small spaces, or cannot handle the computational complexity of comparing detailed as-designed and as-built geometries of MEP systems that contain hundreds or even thousands of elements (e.g., ducts). This paper presents a computationally efficient spatial-change-detection approach that reliably compares as-designed Building Information Models (BIMs) and 3D as-built models derived from laser scan data. It integrates nearest neighbor searching and relational graph based matching approaches to achieve computationally efficient change detection and management. A case study using data collected from a campus building was conducted to compare the new change detection approach proposed in this paper against the state-of-the-art change detection techniques. The results indicate that the proposed approach is capable of making more precise data-model comparisons in a computationally efficient manner compared to existing data-model comparison techniques.
      Graphical abstract image

      PubDate: 2017-05-08T08:18:00Z
      DOI: 10.1016/j.autcon.2017.04.001
  • Macro BIM adoption: Comparative market analysis
    • Authors: Mohamad Kassem; Bilal Succar
      Abstract: Publication date: Available online 3 May 2017
      Source:Automation in Construction
      Author(s): Mohamad Kassem, Bilal Succar
      The adoption of Building Information Modelling (BIM) across markets is a pertinent topic for academic discourse and industry attention. This is evidenced by the unrelenting release of national BIM initiatives; new BIM protocols; and candidate international standards. This paper is the second part of an ongoing Macro BIM Adoption study: the first paper “Macro BIM Adoption: Conceptual Structures” (Succar and Kassem, 2015) introduced five conceptual models for assessing macro BIM adoption across markets and informing the development of BIM adoption policies. This second paper clarifies how these models are validated through capturing the input of 99 experts from 21 countries using a survey tool; highlights the commonalities and differences between sample countries with respect to BIM adoption; and introduces sample tools and templates for either developing or calibrating BIM adoption policies. Survey data collected indicate that all five conceptual models demonstrate high levels of ‘clarity’, ‘accuracy’ and ‘usefulness’, the three metrics measured. They also indicate (1) varying rates of BIM diffusion across countries with BIM capability near the lower-end of the spectrum; (2) varying levels of BIM maturity with - the mean of - most macro BIM components falling below the medium level; (3) varying diffusion dynamics across countries with the prevalence of the middle-out diffusion dynamic; (4) varying policy actions across countries with a predominance of the passive policy approach; and (5) varying distribution of diffusion responsibilities among player groups with no detectable dominant pattern across countries. The two papers provide an opportunity to improve our understanding of BIM adoption dynamics across countries. Future research can build upon the models and tools introduced to enable (a) an expansion of benchmarking data through surveying additional countries; (b) identifying BIM adoption changes in surveyed countries over time; (c) correlating changes in adoption rates/patterns with policy interventions; (d) identifying BIM policy variations within the same country; (e) establishing statistical correlations between the conceptual models; and (f) developing new tools to facilitate BIM policy development and encouraging BIM adoption.

      PubDate: 2017-05-08T08:18:00Z
      DOI: 10.1016/j.autcon.2017.04.005
  • Collective sensing of workers' gait patterns to identify fall hazards in
    • Authors: Kanghyeok Yang; Changbum R. Ahn; Mehmet C. Vuran; Hyunsoo Kim
      Abstract: Publication date: Available online 29 April 2017
      Source:Automation in Construction
      Author(s): Kanghyeok Yang, Changbum R. Ahn, Mehmet C. Vuran, Hyunsoo Kim
      Current hazard-identification efforts in construction mostly rely on human judgment, a reality that leaves a significant number of hazards unidentified or not well-assessed. This situation highlights a need for enhancing hazard-identification capabilities in dynamic and unpredictable construction environments. Given the fact that hazards cause disruptions in workers' behaviors and responses, capturing such disruptions offers opportunities for identifying hazards. This study proposes a collective sensing approach that senses and assesses workers' gait abnormalities in order to identify physical fall hazards in a construction jobsite. Laboratory experiments simulating an ironworkers' working environment were designed and conducted to examine the feasibility of the proposed approach. A wearable inertial measurement unit (WIMU) attached to a subject's ankle collected kinematic gait data. The results indicated that the aggregated gait abnormality score from multiple subjects have a strong correlation with the existence of installed fall hazards such as obstacles and slippery surfaces. This outcome highlights the opportunity for future devices to use workers' abnormal gait responses to reveal safety hazards in construction environments.

      PubDate: 2017-05-03T08:00:19Z
      DOI: 10.1016/j.autcon.2017.04.010
  • Inside Front Cover: Editorial Board
    • Abstract: Publication date: August 2017
      Source:Automation in Construction, Volume 80

      PubDate: 2017-04-25T20:05:59Z
  • Automatic key frame extraction in continuous videos from construction
           monitoring by using color, texture, and gradient features
    • Authors: Ling Chen; Yuhong Wang
      Abstract: Publication date: Available online 25 April 2017
      Source:Automation in Construction
      Author(s): Ling Chen, Yuhong Wang
      On-site video recording systems are increasingly used for monitoring construction activities. The recorded videos contain rich and useful jobsite information that can be used for a variety of purposes. The large amount of video data generated by continuous monitoring, however, creates tremendous challenges on data storage and retrieval. Due to the relatively slow pace of construction activities, a significant portion of the recorded data is redundant. Therefore, archiving raw construction videos into a concise and structured set of key frames would facilitate data storage, retrieval and analysis. Three key issues in automatic key frame extraction from construction videos are studied, including the selection of proper video features, scene segmentation, and key frame extraction. New image features and methods are developed to address the three issues. A validation experiment indicates that the developed features and methods can effectively and efficiently extract representative key frames from the complex and dynamic construction videos. The developed techniques can be used to develop a construction video summary system that serves the purpose of effectively archiving construction jobsite videos.

      PubDate: 2017-04-25T20:05:59Z
      DOI: 10.1016/j.autcon.2017.04.004
  • Enhancing coordination and safety of earthwork equipment operations using
           Multi-Agent System
    • Authors: Faridaddin Vahdatikhaki; Seied Mohammad Langari; Alhusain Taher; Khaled El Ammari; Amin Hammad
      Abstract: Publication date: Available online 24 April 2017
      Source:Automation in Construction
      Author(s): Faridaddin Vahdatikhaki, Seied Mohammad Langari, Alhusain Taher, Khaled El Ammari, Amin Hammad
      In 2012, according to Bureau of Labor Statistics, the major earthmoving equipment are reported to have accounted primarily or secondarily for nearly 10% of fatalities on construction sites. This alarming statistics, together with the fact that the construction working environment is less structured and predictable than other industries, indicate the need for better coordination and management of equipment on earthwork sites. Location-based Guidance Systems (LGSs) have been introduced and implemented for improving high-precision earthwork operations. However, the state of practice in LGSs is limited to machine-level equipment management. In view of the LGSs ability to control the finest motion of earthwork construction equipment, there is a great potential to boost their applicability at the project level, where decisions about the equipment control are made based on the global consideration of a fleet rather than a local view of one single piece of equipment. Accordingly, the present paper aims to design a Multi-Agent System (MAS) architecture that combines LGS technology with advanced safety management methods to support the equipment operators on the construction site. A two-layer safety mechanism is proposed for the safety management in the MAS that enables proactive and reactive responses for the prevention of equipment-related collisions on the construction site. A case study is developed to validate the proposed method. It is found that the proposed MAS structure is able to effectively address the fleet-level coordination between earthwork equipment and potentially improve the safety of earthwork projects.
      Graphical abstract image

      PubDate: 2017-04-25T20:05:59Z
      DOI: 10.1016/j.autcon.2017.04.008
  • Covariance effect analysis of similarity measurement methods for early
           construction cost estimation using case-based reasoning
    • Authors: Joseph Ahn; Moonseo Park; Hyun-Soo Lee; Sung Jin Ahn; Sae-Hyun Ji; Kwonsik Song; Bo-Sik Son
      Abstract: Publication date: Available online 20 April 2017
      Source:Automation in Construction
      Author(s): Joseph Ahn, Moonseo Park, Hyun-Soo Lee, Sung Jin Ahn, Sae-Hyun Ji, Kwonsik Song, Bo-Sik Son
      Quality source data are essential to secure the reliability of early cost estimation, accuracy, and transparency of the estimation process. To improve the reliability of cost estimation results using CBR, a recurring issue in similarity measurement has been to accurately compute the distance among attributes and cases for the retrieval of the most similar singular or plural cases. However, these existing similarity measures have limitations in taking the covariance among attributes into consideration, and reflecting the effects of covariance in the computation of distances among attributes. To deal with this challenging issue, this research examines the weighted Mahalanobis distance based similarity measure applied to CBR cost estimation, and carries out comparative research on the existing distance measurement methods of CBR. To validate the suggested CBR cost model, simulation data test and case studies using 99 multi-family housing complexes are carried out. As a consequence, this research is expected to improve academic value and mathematical and statistical logicality of similarity measurement, especially in application to CBR cost estimation. The results can be further referenced to not only the area of construction cost estimation, but also international market selection, planning and scheduling, noise control and management, and energy management where case-based reasoning can be applied.

      PubDate: 2017-04-25T20:05:59Z
      DOI: 10.1016/j.autcon.2017.04.009
  • Retrieving similar cases for construction project risk management using
           Natural Language Processing techniques
    • Authors: Yang Zou; Arto Kiviniemi; Stephen W. Jones
      Abstract: Publication date: Available online 18 April 2017
      Source:Automation in Construction
      Author(s): Yang Zou, Arto Kiviniemi, Stephen W. Jones
      Case-based reasoning (CBR) is an important approach in construction project risk management. It emphasises that previous knowledge and experience of accidents and risks are highly valuable and could contribute to avoiding similar risks in new situations. In the CBR cycle, retrieving useful information is the first and the most important step. To facilitate the CBR for practical use, some researchers and organisations have established construction accident databases and their size is growing. However, as those documents are written in everyday language using different ways of expression, how information in similar cases is retrieved quickly and accurately from the database is still a huge challenge. In order to improve the efficiency and performance of risk case retrieval, this paper proposes an approach of combining the use of two Natural Language Processing (NLP) techniques, i.e. Vector Space Model (VSM) and semantic query expansion, and outlines a framework for this Risk Case Retrieval System. A prototype system is developed using the Python programming language to support the implementation of the proposed method. Preliminary test results show that the proposed system is capable of retrieving similar cases automatically and returning, for example, the top 10 similar cases.

      PubDate: 2017-04-19T17:56:13Z
      DOI: 10.1016/j.autcon.2017.04.003
  • Concrete bridge deck condition assessment using IR Thermography and Ground
           Penetrating Radar technologies
    • Authors: Saleh Abu Dabous; Salam Yaghi; Sabah Alkass; Osama Moselhi
      Abstract: Publication date: Available online 14 April 2017
      Source:Automation in Construction
      Author(s): Saleh Abu Dabous, Salam Yaghi, Sabah Alkass, Osama Moselhi
      The current practice of bridge inspection relies heavily on visual inspection, which suffers from several limitations, including the safety of the inspection team, the accuracy of subsurface defects detection, and subjectivity. In visual inspection, data collection is time consuming and the collected data is typically documented by completing standard inspection reports. These reports do not provide sufficient visualization of locations and/or the extent of defects. Emerging combinations of non-destructive testing (NDT) technologies and Geographic Information Systems (GIS) have the potential to circumvent some of these limitations. More research is still needed to assess the potential of these technologies to be applied in the field and to address the challenges in deploying them. The challenges include data acquisition and processing, data interpretation to identify the location and extent of defects, and the integration of results obtained from multiple technologies. This research introduces an integrated method utilizing Infrared (IR) Thermography and Ground Penetrating Radar (GPR) technologies to enhance the detection of concrete bridge defects. Integrating results can improve confidence in defect detection and quantification, and as a result can enhance the reliability of the bridge condition rating process. The integrated system is implemented in a case study of a concrete bridge deck in the city of Laval, Quebec, Canada. The obtained results are compared to detailed and visual inspection results conducted on the bridge before its demolition. The study analyzes potential, limitations, and challenges of using the proposed integrated method. In addition, the study demonstrates the feasibility of integrating the collected data in ArcGIS for enhanced visualization of the inspection results.

      PubDate: 2017-04-19T17:56:13Z
      DOI: 10.1016/j.autcon.2017.04.006
  • Automated classification of construction site hazard zones by
           crowd-sourced integrated density maps
    • Authors: Heng Li; Xincong Yang; Martin Skitmore; Fenglai Wang; Perry Forsythe
      Abstract: Publication date: Available online 12 April 2017
      Source:Automation in Construction
      Author(s): Heng Li, Xincong Yang, Martin Skitmore, Fenglai Wang, Perry Forsythe
      Current onsite safety management always relies on time-consuming predefinitions of hazardous zones based on the managers' personal capabilities. However, in a typical labor-intensive industry such as construction, the workers themselves can provide a wealth of information for hazard identification. Historical accident-free working locations on site provide a valuable means of recognizing safe workplaces. This paper presents an approach to the automated classification of construction site zones derived from the location tracks of workers collected from a real-time location system (RTLS). Through data mining, filtering and analysis, the location tracks are transformed into grid density maps and continuous density maps. These illustrate the characteristics of spatial-temporal activities onsite as well as providing a visual representation of the distribution of safe and hazardous individual workplaces. A personnel hazard map is generated automatically based on historical accident-free location tracks from a field project using the proposed approach. Compared with the actual workplaces in terms of accuracy, precision, sensitivity and specificity, the evaluation result reveals that the hazardous areas on a construction site can be automatically classified to improve the workplace management of individual workers. The contributions of this research include an automated zone classification algorithm and an evaluation framework consisting of four indicators for hazard awareness onsite.

      PubDate: 2017-04-19T17:56:13Z
      DOI: 10.1016/j.autcon.2017.04.007
  • Enhancing the ifcOWL ontology with an alternative representation for
           geometric data
    • Authors: Pieter Pauwels; Thomas Krijnen; Walter Terkaj; Jakob Beetz
      Abstract: Publication date: Available online 4 April 2017
      Source:Automation in Construction
      Author(s): Pieter Pauwels, Thomas Krijnen, Walter Terkaj, Jakob Beetz
      Over the past few years, several suggestions have been made of how to convert an EXPRESS schema into an OWL ontology. The conversion from EXPRESS to OWL is of particular use to the architectural design and construction industry, because one of the key data models in this domain, namely the Industry Foundation Classes (IFC), is represented using the EXPRESS information modelling language. These conversion efforts have by now resulted in a recommended ifcOWL ontology that stays semantically close to the EXPRESS schema. Two major improvements could be made in addition to this ifcOWL basis. First, the ontology could be split into diverse modules, making it easier to use subsets of the entire ontology. Second, geometric aggregated data (e.g. lists of coordinates) could be serialised into alternative, less complex semantic structures. The purpose of both improvements is to make ifcOWL data smaller in size and complexity. In this article, we focus entirely on the second topic, namely the optimization of geometric data in the semantic representation. We outline and discuss the diverse available options in optimizing the data representations used. We quantify the impact of these measures on the ifcOWL ontology and instance model size. We conclude with an explicit recommendation and give an indication of how this recommendation might be implemented in combination with the already available ifcOWL ontology.

      PubDate: 2017-04-04T17:31:45Z
      DOI: 10.1016/j.autcon.2017.03.001
  • Near optimum selection of module configuration for efficient modular
    • Authors: Tarek Salama; Ahmad Salah; Osama Moselhi; Mohamed Al-Hussein
      Abstract: Publication date: Available online 4 April 2017
      Source:Automation in Construction
      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: 2017-04-04T17:31:45Z
      DOI: 10.1016/j.autcon.2017.03.008
  • Corrosiveness mapping of bridge decks using image-based analysis of GPR
    • Authors: Mona Abouhamad; Thikra Dawood; Ahmad Jabri; Mohammed Alsharqawi; Tarek Zayed
      Abstract: Publication date: Available online 31 March 2017
      Source:Automation in Construction
      Author(s): Mona Abouhamad, Thikra Dawood, Ahmad Jabri, Mohammed Alsharqawi, Tarek Zayed
      Ground Penetrating Radar (GPR), a locating instrument by design, has attracted much interest as a non-destructive inspection technique for bridge decks due to its ease of use and ability to detect corrosion. The most commonly used technique to interpret GPR data is numerical analysis. The assessment method relies on the fact that corroded reinforcing bars, which cause signal attenuation, can be easily identified using GPR scans. However, several other unrelated factors can attenuate GPR signals such as reinforcing bar depth, surface anomalies and reinforcing bar spacing. These anomalies can be falsely interpreted as deterioration using numerical analysis. Image-based analysis overcomes these drawbacks through analyzing the entire GPR profile while considering prior knowledge of the structure characteristics, thus determining the state of bridge deck. The main objective of this research is to develop a systematic framework of the image-based analysis. The framework is supported by various GPR profiles depicting several causes of signal attenuation and their analysis with respect to deterioration or rebar corrosion status. Two case studies are presented and analyzed using numerical analysis, image-based analysis, and other Non-Destructive Evaluation (NDE) techniques. The results are compared to confirm the validity of the proposed methodology. Further validation is done using concrete cores. The developed approach is believed to assist transportation agencies in a more informed decision making process through highlighting areas of actual deterioration.

      PubDate: 2017-04-04T17:31:45Z
      DOI: 10.1016/j.autcon.2017.03.004
  • Investigation of the causality patterns of non-helmet use behavior of
           construction workers
    • Authors: Heng Li; Xiaoying Li; Xiaochun Luo; Joanna Siebert
      Abstract: Publication date: Available online 22 March 2017
      Source:Automation in Construction
      Author(s): Heng Li, Xiaoying Li, Xiaochun Luo, Joanna Siebert
      Not wearing a safety helmet can result in serious injuries on construction sites, but the cause of such unsafe behavior is not yet well understood. This paper describes a practical field study to find the factors that influence non-helmet use on construction sites using a real-time tracking system (the Eye on Project or EOP), which is developed by our research team to provide an objective record of helmet use; and which overcomes the deficiencies of traditional recording methods (i.e. self-reporting). The application of association rules then combines designated risk factors and finds the causality patterns of non-helmet use. Based on the analyses, this paper develops a method of evaluating workers' risk level involving the intensity of multiple risk factors.

      PubDate: 2017-03-27T18:31:57Z
      DOI: 10.1016/j.autcon.2017.02.006
  • 3D reconstruction methods and quality assessment for visual inspection of
    • Authors: Ramos
      Abstract: Publication date: July 2017
      Source:Automation in Construction, Volume 79
      Author(s): P. Rodríguez-Gonzálvez, M. Rodríguez-Martín, Luís F. Ramos, D. González-Aguilera
      Welding surface inspection and evaluation are the main tasks of the visual inspection process. The presence of flaws and/or geometrical imperfections can affect the safety of the structures. This paper presents an evaluation of geomatic techniques that complement the inspector expertise and knowledge during the visual inspection, by means of a dense and complete record of the weld. Particularly, an articulated coordinate measuring machine, widely used in industrial environments, versus a novel macro-photogrammetric technique are tested and compared thought an ad-hoc external reference frame, supported by 2D/3D registration artefacts and an automated identification methodology. The resulting 3D models are evaluated in terms of accuracy, precision and resolution.

      PubDate: 2017-03-22T08:31:44Z
  • Material use optimization in 3D printing through a physical simulation
    • Authors: Adolfo Nadal; Hugo Cifre; Juan Pavón; Óscar Liébana
      Abstract: Publication date: Available online 8 February 2017
      Source:Automation in Construction
      Author(s): Adolfo Nadal, Hugo Cifre, Juan Pavón, Óscar Liébana
      This paper focuses on the design of an algorithm for a structure-based infill patterning system for big-scale 3D printed parts. A simple, modular, expandable system is presented that considers the structural logic of printable parts through the voxelization of 3D virtual models into a finite element representation that is used to feed a spring model. Material properties and user customization are discussed. Several ad-hoc solutions, optimization capabilities and simulation results are tested and shown. The use of non-standard, customized nozzle designs and print materials is discussed for further usage capabilities.

      PubDate: 2017-02-12T10:13:12Z
      DOI: 10.1016/j.autcon.2017.01.017
  • Recognition and evaluation of bridge cracks with modified active contour
           model and greedy search-based support vector machine
    • Authors: Gang Li; Xiaoxing Zhao; Kai Du; Feng Ru; Yubo Zhang
      Abstract: Publication date: Available online 8 February 2017
      Source:Automation in Construction
      Author(s): Gang Li, Xiaoxing Zhao, Kai Du, Feng Ru, Yubo Zhang
      Concrete cracks are the most important representation for evaluating the bridge health condition and conducting to take appropriate actions to optimize expenditure on maintenance and rehabilitation. In this paper, we develop a fully-automatic machine learning based algorithm for extracting cracks from concrete bridge images, which combines a modified region-based active contour model for image segmentation and the linear support vector machine using greedy search strategy for noise elimination. In practice, the crack detection is a challenging problem because of (1) subtle difference between the cracks and the noises, (2) inconsistent intensity along the cracks, and (3) possible shadow regions with similar intensity to the cracks. To solve these problems, the proposed method consists of three steps. First, we build a high-precision image acquisition framework, which can automatically collect image sequences from the lower bridge slab and fuse the multiple sensor data for computing crack parameters. Second, we develop a modified region-based active contour model combined with the iterated Canny operator for the concrete image segmentation. Finally, we utilize the novel feature selection approach based on the linear support vector machine with a greedy search strategy for noise elimination. After that, we provide a crack width calculation method which combined the binary image with the gray scale image information. We evaluate the proposed method on a collection of 1200 real bridge images, which gathered from 10 existing bridges on various weathers, and the experimental results show that the proposed method achieves a better performance than several up-to-date algorithms.

      PubDate: 2017-02-12T10:13:12Z
      DOI: 10.1016/j.autcon.2017.01.019
  • BIM-based method calculation of auxiliary materials required in housing
    • Authors: Haitao Wei; Shunyi Zheng; Like Zhao; Rongyong Huang
      Abstract: Publication date: Available online 7 February 2017
      Source:Automation in Construction
      Author(s): Haitao Wei, Shunyi Zheng, Like Zhao, Rongyong Huang
      To address the problems of budgetary inaccuracy, the lack of comprehensive or high-level management, and the existence of serious waste of auxiliary materials during the main construction phase of housing construction, a BIM-based method for calculating the auxiliary materials required for housing construction is proposed in this paper. The BIM model is firstly built according to structural construction drawings, the construction scheme and the construction specification and technology in the main structure construction stage; then, the usage of auxiliary materials is calculated, and the auxiliary material dosage report, construction drawings, and processing drawings are generated for purchasing, collectively processing auxiliary material and guiding construction at the same time. This paper improves upon the traditional auxiliary material management model and design via the implementation of a BIM application named zgBIMs according to the proposed method. The improved management model uses the generated auxiliary material dosage report, construction drawings, and processing drawings to centralize the processing of the required auxiliary materials, strengthen supervision in the process of material distribution and construction, and introduce a reward and punishment mechanism to control the attrition rate of auxiliary materials. In this paper, the successful implementation of the presented method and management model is demonstrated as part of a comprehensive and experimental building project. The experimental results show that the proposed method can be used for the accurate calculation of the amounts of auxiliary materials required to reduce the use and waste of auxiliary materials efficiently and thus save construction costs.

      PubDate: 2017-02-12T10:13:12Z
      DOI: 10.1016/j.autcon.2017.01.022
  • Singularity functions for continuous precedence relations and nonlinear
           activity-time-production functions
    • Authors: Miklós Hajdu; Gunnar Lucko; Yi Su
      Abstract: Publication date: Available online 4 February 2017
      Source:Automation in Construction
      Author(s): Miklós Hajdu, Gunnar Lucko, Yi Su
      Two fundamental limitations of the Precedence Diagramming Method (PDM), which currently hinder the proper modeling of construction projects are discussed and overcome. Activities in the original model are (1) assumed to progress linearly from their start to their finish, which is rarely true in construction projects, and (2) connected only via their end points. The extension that is presented here therefore enables a general description of activity-time-production functions: A new type of precedence relation is defined and this new model can handle nonlinear activities. Theoretically, proper modeling of overlapping activities has been impossible with traditional precedence relationships. This is due to the fact that traditional precedence relations create logic links only between endpoints of activities. Yet overlapping should be defined as a ‘continuous’ relation that uses time or work (e.g. location) units between all points of a predecessor activity and all points of its successor. Continuous precedence relations for scheduling techniques have been envisioned earlier, but the model presented there was able to function properly only if the successor was linear. The contribution of this paper is to derive an algorithm for activity pairs that are connected by a continuous relation and can be nonlinear. Comparing calculations based on traditional calculus and singularity functions validates the new approach.

      PubDate: 2017-02-05T09:44:07Z
      DOI: 10.1016/j.autcon.2017.01.012
  • Social network conformity and construction work plan reliability
    • Authors: S. Alireza Abbasian-Hosseini; Min Liu; Simon M. Hsiang
      Abstract: Publication date: Available online 1 February 2017
      Source:Automation in Construction
      Author(s): S. Alireza Abbasian-Hosseini, Min Liu, Simon M. Hsiang
      In a large construction project delivery is usually handled by numerous subcontractors. Work plan reliability (WPR) of subcontractors is an essential element for improving project performance. Previous research mainly focused on the consequence of the WPR variability of a subcontractor on the following subcontractors in the project task-sequence. Construction industry lacks a good understanding of the social aspect of the subcontractors' WPR. Plausibly and arguably, construction subcontractors and their interactions/relationships in a project constitute a network, conceptualized as a “social network”. “Social conformity” is one of the various social influence types that results in a change of performance/behavior in order to fit in a group. This research aims to understand how conformity plays a role in the subcontractors' performance particularly in their WPR. The objective of this paper is to develop an analytical approach to 1) demonstrate the impact of conformity on the WPR of subcontractors, and 2) identify the role of social network in conformity occurrence in a construction project. Two construction projects, each including a general contractor overseeing several subcontractors, were studied. Findings show that deviation from norms decreases as project proceeds. It also shows that the tendency of subcontractors to follow the norms of their neighborhood (local) is higher than their willing to follow the project norm (global). The research contributes to the body of knowledge as it proposes a social network based approach for the first time to explore how the subcontractors' WPR in a construction project can be under the influence of the conformity phenomenon. Understanding the subcontractors' manner can be useful for project managers when they need to establish a long-term working relationship with a particular subcontractor, or when they need to know much effort is necessary to spend on improvement initiatives of planning reliability.

      PubDate: 2017-02-05T09:44:07Z
      DOI: 10.1016/j.autcon.2017.01.004
  • A framework for evaluating muscle activity during repetitive manual
           material handling in construction manufacturing
    • Authors: X. Li; A. Komeili; M. Gül; M. El-Rich
      Abstract: Publication date: Available online 23 January 2017
      Source:Automation in Construction
      Author(s): X. Li, A. Komeili, M. Gül, M. El-Rich
      Workers in construction sites are exposed to highly labor-intensive tasks. Ergonomic principles, in addition to engineering considerations, should thus be included in the design of workstations in order to minimize the risk of injury. The objective of this paper is to propose a framework to assess muscle force and muscle fatigue development due to manual lifting tasks using surface electromyography (sEMG) and human body modelling. Muscle forces are calculated using the human body model and compared qualitatively to sEMG muscle activities. The results show that sEMG is capable of visualizing muscle activity. However, sEMG application in identifying muscle fatigue development is limited to bulkier and superficial muscle bundles in low fat areas. The proposed human body model, which is driven by kinematic motion capture data, predicts muscle forces during the entire task maneuver. The predicted muscle forces from the human body model are compared with sEMG data from corresponding muscles as well as data available in the literature. In future research, the developed model will be used to determine optimal task maneuvers that minimize muscle forces with the ultimate goal of preventing muscle injuries in workstations.

      PubDate: 2017-01-29T10:39:42Z
      DOI: 10.1016/j.autcon.2017.01.005
  • Big data in civil engineering
    • Authors: Amir H. Alavi; Amir H. Gandomi
      Abstract: Publication date: Available online 12 January 2017
      Source:Automation in Construction
      Author(s): Amir H. Alavi, Amir H. Gandomi

      PubDate: 2017-01-22T14:14:18Z
      DOI: 10.1016/j.autcon.2016.12.008
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