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COMPUTER SCIENCE (1231 journals)                  1 2 3 4 5 6 7 | Last

Showing 1 - 200 of 872 Journals sorted alphabetically
3D Printing and Additive Manufacturing     Full-text available via subscription   (Followers: 24)
Abakós     Open Access   (Followers: 4)
ACM Computing Surveys     Hybrid Journal   (Followers: 31)
ACM Journal on Computing and Cultural Heritage     Hybrid Journal   (Followers: 8)
ACM Journal on Emerging Technologies in Computing Systems     Hybrid Journal   (Followers: 17)
ACM Transactions on Accessible Computing (TACCESS)     Hybrid Journal   (Followers: 3)
ACM Transactions on Algorithms (TALG)     Hybrid Journal   (Followers: 15)
ACM Transactions on Applied Perception (TAP)     Hybrid Journal   (Followers: 5)
ACM Transactions on Architecture and Code Optimization (TACO)     Hybrid Journal   (Followers: 9)
ACM Transactions on Autonomous and Adaptive Systems (TAAS)     Hybrid Journal   (Followers: 9)
ACM Transactions on Computation Theory (TOCT)     Hybrid Journal   (Followers: 12)
ACM Transactions on Computational Logic (TOCL)     Hybrid Journal   (Followers: 3)
ACM Transactions on Computer Systems (TOCS)     Hybrid Journal   (Followers: 18)
ACM Transactions on Computer-Human Interaction     Hybrid Journal   (Followers: 16)
ACM Transactions on Computing Education (TOCE)     Hybrid Journal   (Followers: 7)
ACM Transactions on Design Automation of Electronic Systems (TODAES)     Hybrid Journal   (Followers: 6)
ACM Transactions on Economics and Computation     Hybrid Journal   (Followers: 2)
ACM Transactions on Embedded Computing Systems (TECS)     Hybrid Journal   (Followers: 3)
ACM Transactions on Information Systems (TOIS)     Hybrid Journal   (Followers: 20)
ACM Transactions on Intelligent Systems and Technology (TIST)     Hybrid Journal   (Followers: 8)
ACM Transactions on Interactive Intelligent Systems (TiiS)     Hybrid Journal   (Followers: 5)
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)     Hybrid Journal   (Followers: 9)
ACM Transactions on Reconfigurable Technology and Systems (TRETS)     Hybrid Journal   (Followers: 6)
ACM Transactions on Sensor Networks (TOSN)     Hybrid Journal   (Followers: 8)
ACM Transactions on Speech and Language Processing (TSLP)     Hybrid Journal   (Followers: 9)
ACM Transactions on Storage     Hybrid Journal  
ACS Applied Materials & Interfaces     Hybrid Journal   (Followers: 35)
Acta Automatica Sinica     Full-text available via subscription   (Followers: 2)
Acta Informatica Malaysia     Open Access  
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: 29)
Advanced Science Letters     Full-text available via subscription   (Followers: 11)
Advances in Adaptive Data Analysis     Hybrid Journal   (Followers: 7)
Advances in Artificial Intelligence     Open Access   (Followers: 15)
Advances in Calculus of Variations     Hybrid Journal   (Followers: 6)
Advances in Catalysis     Full-text available via subscription   (Followers: 5)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 19)
Advances in Computer Engineering     Open Access   (Followers: 4)
Advances in Computer Science : an International Journal     Open Access   (Followers: 14)
Advances in Computing     Open Access   (Followers: 2)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 59)
Advances in Engineering Software     Hybrid Journal   (Followers: 28)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 14)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 23)
Advances in Human-Computer Interaction     Open Access   (Followers: 21)
Advances in Materials Science     Open Access   (Followers: 15)
Advances in Operations Research     Open Access   (Followers: 12)
Advances in Parallel Computing     Full-text available via subscription   (Followers: 7)
Advances in Porous Media     Full-text available via subscription   (Followers: 5)
Advances in Remote Sensing     Open Access   (Followers: 51)
Advances in Science and Research (ASR)     Open Access   (Followers: 6)
Advances in Technology Innovation     Open Access   (Followers: 6)
AEU - International Journal of Electronics and Communications     Hybrid Journal   (Followers: 8)
African Journal of Information and Communication     Open Access   (Followers: 9)
African Journal of Mathematics and Computer Science Research     Open Access   (Followers: 4)
AI EDAM     Hybrid Journal   (Followers: 1)
Air, Soil & Water Research     Open Access   (Followers: 14)
AIS Transactions on Human-Computer Interaction     Open Access   (Followers: 7)
Algebras and Representation Theory     Hybrid Journal   (Followers: 1)
Algorithms     Open Access   (Followers: 11)
American Journal of Computational and Applied Mathematics     Open Access   (Followers: 5)
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: 4)
Anais da Academia Brasileira de Ciências     Open Access   (Followers: 2)
Analog Integrated Circuits and Signal Processing     Hybrid Journal   (Followers: 7)
Analysis in Theory and Applications     Hybrid Journal   (Followers: 1)
Animation Practice, Process & Production     Hybrid Journal   (Followers: 5)
Annals of Combinatorics     Hybrid Journal   (Followers: 4)
Annals of Data Science     Hybrid Journal   (Followers: 12)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 12)
Annals of Pure and Applied Logic     Open Access   (Followers: 3)
Annals of Software Engineering     Hybrid Journal   (Followers: 13)
Annals of West University of Timisoara - Mathematics and Computer Science     Open Access  
Annual Reviews in Control     Hybrid Journal   (Followers: 8)
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: 1)
Applied Artificial Intelligence: An International Journal     Hybrid Journal   (Followers: 12)
Applied Categorical Structures     Hybrid Journal   (Followers: 5)
Applied Clinical Informatics     Hybrid Journal   (Followers: 2)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 14)
Applied Computer Systems     Open Access   (Followers: 2)
Applied Informatics     Open Access  
Applied Mathematics and Computation     Hybrid Journal   (Followers: 33)
Applied Medical Informatics     Open Access   (Followers: 11)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 5)
Applied Soft Computing     Hybrid Journal   (Followers: 17)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 7)
Applied System Innovation     Open Access  
Architectural Theory Review     Hybrid Journal   (Followers: 3)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 6)
Archive of Numerical Software     Open Access  
Archives and Museum Informatics     Hybrid Journal   (Followers: 153)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 6)
arq: Architectural Research Quarterly     Hybrid Journal   (Followers: 8)
Artifact     Open Access   (Followers: 2)
Artificial Life     Hybrid Journal   (Followers: 7)
Asia Pacific Journal on Computational Engineering     Open Access  
Asia-Pacific Journal of Information Technology and Multimedia     Open Access   (Followers: 1)
Asian Journal of Control     Hybrid Journal  
Assembly Automation     Hybrid Journal   (Followers: 2)
at - Automatisierungstechnik     Hybrid Journal   (Followers: 1)
Australian Educational Computing     Open Access   (Followers: 1)
Automatic Control and Computer Sciences     Hybrid Journal   (Followers: 6)
Automatic Documentation and Mathematical Linguistics     Hybrid Journal   (Followers: 5)
Automatica     Hybrid Journal   (Followers: 12)
Automation in Construction     Hybrid Journal   (Followers: 7)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 8)
Balkan Journal of Electrical and Computer Engineering     Open Access  
Basin Research     Hybrid Journal   (Followers: 5)
Behaviour & Information Technology     Hybrid Journal   (Followers: 51)
Big Data and Cognitive Computing     Open Access   (Followers: 3)
Biodiversity Information Science and Standards     Open Access  
Bioinformatics     Hybrid Journal   (Followers: 327)
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: 19)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 35)
Briefings in Bioinformatics     Hybrid Journal   (Followers: 51)
British Journal of Educational Technology     Hybrid Journal   (Followers: 160)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 12)
c't Magazin fuer Computertechnik     Full-text available via subscription   (Followers: 1)
CALCOLO     Hybrid Journal  
Calphad     Hybrid Journal   (Followers: 2)
Canadian Journal of Electrical and Computer Engineering     Full-text available via subscription   (Followers: 15)
Capturing Intelligence     Full-text available via subscription  
Catalysis in Industry     Hybrid Journal   (Followers: 1)
CEAS Space Journal     Hybrid Journal   (Followers: 2)
Cell Communication and Signaling     Open Access   (Followers: 2)
Central European Journal of Computer Science     Hybrid Journal   (Followers: 5)
CERN IdeaSquare Journal of Experimental Innovation     Open Access   (Followers: 3)
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: 8)
Chinese Journal of Catalysis     Full-text available via subscription   (Followers: 2)
CIN Computers Informatics Nursing     Hybrid Journal   (Followers: 11)
Circuits and Systems     Open Access   (Followers: 15)
Clean Air Journal     Full-text available via subscription   (Followers: 1)
CLEI Electronic Journal     Open Access  
Clin-Alert     Hybrid Journal   (Followers: 1)
Clinical eHealth     Open Access  
Cluster Computing     Hybrid Journal   (Followers: 2)
Cognitive Computation     Hybrid Journal   (Followers: 3)
COMBINATORICA     Hybrid Journal  
Combinatorics, Probability and Computing     Hybrid Journal   (Followers: 4)
Combustion Theory and Modelling     Hybrid Journal   (Followers: 14)
Communication Methods and Measures     Hybrid Journal   (Followers: 13)
Communication Theory     Hybrid Journal   (Followers: 24)
Communications Engineer     Hybrid Journal   (Followers: 1)
Communications in Algebra     Hybrid Journal   (Followers: 3)
Communications in Computational Physics     Full-text available via subscription   (Followers: 2)
Communications in Information Science and Management Engineering     Open Access   (Followers: 4)
Communications in Partial Differential Equations     Hybrid Journal   (Followers: 4)
Communications of the ACM     Full-text available via subscription   (Followers: 51)
Communications of the Association for Information Systems     Open Access   (Followers: 16)
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering     Hybrid Journal   (Followers: 3)
Complex & Intelligent Systems     Open Access   (Followers: 1)
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: 8)
Computación y Sistemas     Open Access  
Computation     Open Access   (Followers: 1)
Computational and Applied Mathematics     Hybrid Journal   (Followers: 3)
Computational and Mathematical Biophysics     Open Access   (Followers: 1)
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: 1)
Computational and Theoretical Chemistry     Hybrid Journal   (Followers: 9)
Computational Astrophysics and Cosmology     Open Access   (Followers: 1)
Computational Biology and Chemistry     Hybrid Journal   (Followers: 12)
Computational Chemistry     Open Access   (Followers: 2)
Computational Cognitive Science     Open Access   (Followers: 2)
Computational Complexity     Hybrid Journal   (Followers: 4)
Computational Condensed Matter     Open Access   (Followers: 1)
Computational Ecology and Software     Open Access   (Followers: 9)
Computational Economics     Hybrid Journal   (Followers: 9)
Computational Geosciences     Hybrid Journal   (Followers: 17)
Computational Linguistics     Open Access   (Followers: 24)
Computational Management Science     Hybrid Journal  
Computational Mathematics and Modeling     Hybrid Journal   (Followers: 8)
Computational Mechanics     Hybrid Journal   (Followers: 5)
Computational Methods and Function Theory     Hybrid Journal  
Computational Molecular Bioscience     Open Access   (Followers: 2)
Computational Optimization and Applications     Hybrid Journal   (Followers: 8)
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: 14)
Computational Statistics & Data Analysis     Hybrid Journal   (Followers: 35)
Computer     Full-text available via subscription   (Followers: 105)
Computer Aided Surgery     Open Access   (Followers: 6)
Computer Applications in Engineering Education     Hybrid Journal   (Followers: 8)
Computer Communications     Hybrid Journal   (Followers: 16)

        1 2 3 4 5 6 7 | Last

Journal Cover
Automation in Construction
Journal Prestige (SJR): 1.613
Citation Impact (citeScore): 5
Number of Followers: 7  
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0926-5805
Published by Elsevier Homepage  [3161 journals]
  • Lean production theory-based simulation of modular construction processes
    • Abstract: Publication date: May 2019Source: Automation in Construction, Volume 101Author(s): Matthew Goh, Yang Miang Goh One way to encourage adoption of prefabrication and off-site manufacturing (OSM) techniques, such as modular construction, is to improve the efficiency of site operations, which makes the technology more attractive to non-adopters. Lean principles have been widely applied to improve the productivity and efficiency of construction operations, while simulation augments Lean theory by allowing its benefits and issues to be analyzed quantitatively before actual implementation. Thus, this study aims to conduct a detailed simulation study of modular construction operations, otherwise known as Prefabricated Prefinished Volumetric Construction (PPVC) in Singapore. In contrast with existing research, which are frequently focused on the barriers and drivers to the adoption of prefabrication, this study will provide and evaluate recommendations to improve modular construction efficiency through application of Lean concepts. A detailed baseline (As-Is) simulation model of an ongoing PPVC project case study was first developed. Lean Construction principles were then applied to the baseline simulation model. Key Lean Construction principles and concepts implemented includes Total Quality Management, E-Kanban based Just-In-Time deliveries, cross training and the use of construction robotics. Lean (To-Be) simulation models were developed based on the Lean Construction principles. The outputs from the baseline and Lean models were compared to assess the impact of the proposed improvements. The findings demonstrated that through the application of Lean concepts, reductions in cycle time and process time, and increases in process efficiency and labor productivity can be achieved. The case study also provides a detailed description of the simulation approach, which is a useful reference for future application of simulation in offsite construction research.
  • Parallel 2-DoF manipulator for wall-cleaning applications
    • Abstract: Publication date: May 2019Source: Automation in Construction, Volume 101Author(s): Inho Joo, Jooyoung Hong, Sungkeun Yoo, Jongwon Kim, Hwa Soo Kim, TaeWon Seo The walls of high-rise buildings are cleaned manually several times per year. The cleaning work is difficult and extremely dangerous for human workers, and there are several ongoing studies to automate this work by robotic solutions. To achieve successful cleaning performance, the cleaning operation must adapt to the environmental conditions. In this study, we design and assemble a manipulator for use in wall-cleaning applications. From the design requirements identified by investigating a high-rise building in Korea, we determine the two important degrees of freedom (DOF) and design a parallel mechanism to achieve motion. With the parallel configuration, the design parameters are optimized based on a dynamic index to achieve high cleaning performance on a scaffold. A prototype is assembled, and the cleaning performance is verified on a test bench. A field test with the developed manipulator will be performed in the near future.
  • Joint estimation of vessel position and mooring stiffness during offshore
           crane operations
    • Abstract: Publication date: May 2019Source: Automation in Construction, Volume 101Author(s): Jun Ye, Milinko Godjevac, Simone Baldi, Hans Hopman Offshore heavy lift vessels are designed for transporting, installing and removing offshore facilities. Previous studies have shown that the time-varying forces acting on the main crane may result in an unstable Dynamic Positioning (DP) control system, which adversely affects the safety of the heavy lifting operation. Solutions based on force feedforward control thus has been proposed, i.e., the low-frequency horizontal component of the crane force is forwarded to the DP controller or observer. Accurate estimation of the horizontal component of the crane force is essential for the feedforward solution, but it is extremely difficult to obtain it from a measurement due to its time-varying nature and the non-linear system dynamics stemming from the ship-environment interaction. Therefore, in this work, we focus on the estimation of the low-frequency crane force in the horizontal direction during loading and offloading stages of a heavy lift operation in various environmental conditions. To achieve this goal, a novel time-varying mooring stiffness term is introduced, which is included in the nonlinear passive observer of the vessel and used in a joint parameter-state estimator to estimate the horizontal crane force and vessel states. Afterward, simulations are performed to test the estimator in various environmental and loading conditions. The results indicate that an accurate estimation of the low-frequency horizontal component of the crane force can be achieved by measuring the position of the ship and the tension in the wires even in the presence of large parameter uncertainty.
  • Computer vision for real-time extrusion quality monitoring and control in
           robotic construction
    • Abstract: Publication date: May 2019Source: Automation in Construction, Volume 101Author(s): Ali Kazemian, Xiao Yuan, Omid Davtalab, Behrokh Khoshnevis In this paper, a vision-based real-time extrusion quality monitoring system is developed for robotic construction. Initially, the details related to the extrusion system, data acquisition and processing unit, and the proposed algorithm are discussed. The reliability and responsiveness of the developed system is then evaluated on six determined levels of material variation. To demonstrate its application, the vision algorithm is used to develop an innovative closed-loop extrusion system. This system is able to automatically adjust the extrusion rate based on the vision system feedback. Such self-regulating extrusion system would be able to continuously print layers of acceptable dimensions using any printable mixture, without the need for prior calibration and despite some mixture rheology variations. All in all, the high precision and responsiveness of the developed system demonstrates the great potential for computer vision as a real-time quality monitoring and control tool for robotic construction.
  • Sewer damage detection from imbalanced CCTV inspection data using deep
           convolutional neural networks with hierarchical classification
    • Abstract: Publication date: May 2019Source: Automation in Construction, Volume 101Author(s): Duanshun Li, Anran Cong, Shuai Guo Accurate infrastructure condition assessment is critical for optimized maintenance and rehabilitation plan. Closed Circuit Television (CCTV) inspection has been widely applied in the internal inspection of sewerage systems. However, the manual approach adopted under current practice is expertise intensive and time-consuming. Previous research has attempted to apply specialized image processing techniques for the detection of specific defects with engineered features, such as cracks and joint offset. However, these engineered features are less generalizable than the state-of-the-art deep learning methods. Another crucial problem in defect classification is the imbalance between defects and non-defects due to high volume of normal images and the imbalance between different defects due to varying defect occurrence rates. This raises a big challenge for both traditional methods and deep learning methods. In this paper, a method based on the deep convolutional neural network is proposed to detect and classify defects from CCTV inspections. To improve the performance on imbalanced datasets, a hierarchical classification approach is introduced to supervise the learning process at different levels. The high-level detection task tries to discriminate images with defects from normal images. The low-level classification calculates the probability of each defect assuming the image has defects. The final defect classification is then derived from the chain rule of conditional probability. The network was trained and tested using inspection images collected from 24.7 km sewer lines. The high-level defect detection accuracy was improved from 78.4% to 83.2% with a hierarchical classification approach. Due to the difficulty to discriminate the defects, the low-level defect classification accuracy still needs improvements, but the proposed network with hierarchical classification also demonstrated superior performance over traditional approaches.
  • Assessment of synchronous interactive devices for BIM project
           coordination: Prospective ergonomics approach
    • Abstract: Publication date: May 2019Source: Automation in Construction, Volume 101Author(s): Sylvain Kubicki, Annie Guerriero, Lou Schwartz, Elie Daher, Bryan Idris In the last years, BIM has gained interest across the construction sector in Europe. 3D coordination, i.e. the task aiming at comparing several 3D models in order to reduce problems and conflicts, is often identified as a new mission. It is associated with the authoring, use and quality control in relation with the management of digital information models produced in so-called BIM projects. 3D coordination is an emergent business involving new practices, contractual standards and associated devices and software, thus requiring appropriate research approaches involving the understanding of Information Technology in human environments to address it. Based on a prospective ergonomics methodology, the authors analyse the synchronous co-located 3D coordination meeting and focus on three research questions: 1) What is the current 3D coordination task', 2) How are the usual interaction and visualization devices supporting synchronous co-located 3D coordination meeting perceived by users', and 3) How could a new 3D coordination meeting support system strengthen collaborative decision-making process in synchronous co-located context' A survey, followed by a controlled laboratory experiment, provides results on the conceptualization of the BIM coordination process as well as on the devices that will support the related synchronous co-located meetings. The findings highlight the usefulness of touch-based and multi-users displays for a better engagement of teams. However the study also documents the pain points associated with the use of such devices in collective settings.
  • Building Information Maturity Model specific to the renovation sector
    • Abstract: Publication date: May 2019Source: Automation in Construction, Volume 101Author(s): L. Joblot, T. Paviot, D. Deneux, S. Lamouri This article focuses on the relevance of a digital approach, Building Information Modeling (BIM), in the dynamic and diversified renovation sector, which is mainly driven by micro enterprises. It provides a synthesis of scientific references on this infrequently addressed subject. This scientific review demonstrates that there are not plentiful or sufficiently appropriate technologies and tools available to encourage the widespread use of BIM in the type of company that would be engaged in renovation work. The aim of this study is to propose the synthesis of scientific data that justifies the introduction of BIM in renovation work. An analysis of the tools and critical success factors makes it possible to determine the specifications for a Maturity Model (MM) that is adapted to the renovation sector and to the actors within it. A BIM Maturity Model For Renovation (BiM2FR) purposes has been established as a result. The origins of, and the content contained within it, are detailed in this article. The results are validated through three case studies of businesses that are engaged in BIM processes.
  • A review of building information modeling (BIM) and the internet of things
           (IoT) devices integration: Present status and future trends
    • Abstract: Publication date: May 2019Source: Automation in Construction, Volume 101Author(s): Shu Tang, Dennis R. Shelden, Charles M. Eastman, Pardis Pishdad-Bozorgi, Xinghua Gao The integration of Building Information Modeling (BIM) with real-time data from the Internet of Things (IoT) devices presents a powerful paradigm for applications to improve construction and operational efficiencies. Connecting real-time data streams from the rapidly expanding set of IoT sensor networks to the high-fidelity BIM models provides numerous applications. However, BIM and IoT integration research are still in nascent stages, there is a need to understand the current situation of BIM and IoT device integration. This paper conducts a comprehensive review with the intent to identify common emerging areas of application and common design patterns in the approach to tackling BIM-IoT device integration along with an examination of current limitations and predictions of future research directions. Altogether, 97 papers from 14 AEC related journals and databases in other industry over the last decade were reviewed. Several prevalent domains of application namely Construction Operation and Monitoring, Health & Safety Management, Construction Logistic & Management, and Facility Management were identified. The authors summarized 5 integration methods with description, examples, and discussion. These integration methods are utilizing BIM tools' APIs and relational database, transform BIM data into a relational database using new data schema, create new query language, using semantic web technologies and hybrid approach. Based on the observed limitations, prominent future research directions are suggested, focusing on service-oriented architecture (SOA) patterns and web services-based strategies for BIM and IoT integration, establishing information integration & management standards, solving interoperability issue, and cloud computing.Graphical abstractUnlabelled Image
  • Adopting Internet of Things for the development of smart buildings: A
           review of enabling technologies and applications
    • Abstract: Publication date: May 2019Source: Automation in Construction, Volume 101Author(s): Mengda Jia, Ali Komeily, Yueren Wang, Ravi S. Srinivasan The 21st century is witnessing a fast-paced digital revolution. A significant trend is that cyber and physical environments are being unprecedentedly entangled with the emergence of Internet of Things (IoT). IoT has been widely immersed into various domains in the industry. Among those areas where IoT would make significant impacts are building construction, operation, and management by facilitating high-class services, providing efficient functionalities, and moving towards sustainable development goals. So far, IoT itself has entered an ambiguous phase for industrial utilization, and there are limited number of studies focusing on the application of IoT in the building industry. Given the promising future impact of IoT technologies on buildings, and the increasing interests in interdisciplinary research among academics, this paper investigates the state-of-the-art projects and adoptions of IoT for the development of smart buildings within both academia and industry contexts. The wide-ranging IoT concepts are provided, covering the necessary breadth as well as relevant topic depth that directly relates to smart buildings. Current enabling technologies of IoT, especially those applied to buildings and related areas are summarized, which encompasses three different layers based on the conventional IoT architecture. Afterwards, several recent applications of IoT technologies on buildings towards the critical goals of smart buildings are selected and presented. Finally, the priorities and challenges of successful and seamless IoT integration for smart buildings are discussed. Besides, this paper discusses the future research questions to advance the implementation of IoT technologies in both building construction and operation phases. The paper argues that a mature adoption of IoT technologies in the building industry is not yet realized and, therefore, calls for more attention from researchers in the relevant fields from the application perspective.
  • Bridge maintenance prioritization using analytic hierarchy process and
           fusion tables
    • Abstract: Publication date: May 2019Source: Automation in Construction, Volume 101Author(s): Cristian Contreras-Nieto, Yongwei Shan, Phil Lewis, Julie Ann Hartell Due to budget constraints of Departments of Transportation (DOTs) and a significant number of deficient bridges around the U.S., there is a need for a systematic approach to more efficiently and optimally allocate limited resources for bridge maintenance efforts. This paper presents a GIS-integrated decision-making framework to prioritize bridge maintenance by using aggregated bridge ratings and average daily traffic (ADT). The aggregated bridge ratings were the weighted average of deck, substructure, superstructure, and scour ratings; the weights were determined by analyzing a group of bridge experts' comparisons of the relative importance of deck, substructure, superstructure, and scour with respect to bridge resiliency, riding comfort, safety, and serviceability using the Analytic Hierarchy Process (AHP). Then, a geographical information system (GIS) user interface that integrated Google™ Fusion Tables, Google Maps, and the decision-making criteria was created to visualize the priority of the bridges for maintenance. Through a case study and validation with a division bridge engineer at Oklahoma DOT (ODOT), the developed framework was proven to be a robust and reliable approach. This study contributes to industry practice by providing a systematic and implementable approach to facilitate state DOTs' decision-making for bridge maintenance without requiring extra bridge data collection effort.
  • Printability, accuracy and strength of geopolymer made using powder-based
           3D printing for construction applications
    • Abstract: Publication date: May 2019Source: Automation in Construction, Volume 101Author(s): Ming Xia, Behzad Nematollahi, Jay Sanjayan The authors of this study have recently succeeded to develop geopolymer materials using slag only formulations for the requirements and demands of commercially available powder-based 3D printers. In this study, the formulation is extended to fly ash and slag combinations so that to expand the scope of geopolymer materials that can be used in the commercially available powder-based 3D printers for construction applications. The quantitative influence of fly ash content on the printability characteristics (i.e., depositability and wettability) of the geopolymer powder, as well as the linear dimensional accuracy and compressive strength of the printed specimens were investigated. The effect of type of alkaline solution used for post-processing on the linear dimensional accuracy and compressive strength of the post-processed specimens were also evaluated. The results indicated that the increase in fly ash content had no effect on the powder depositability, but adversely affected the powder wettability, linear dimensional accuracy and compressive strength of the printed specimens. The minimum slag content required to prepare fly ash/slag blended geopolymer powder for powder-based 3D concrete printing process is 50 wt%. The post-processing significantly increased the compressive strength. The post-processed specimens printed with 50 wt% slag/50 wt% fly ash powder exhibited a 7-day compressive strength of up to 25 MPa, which is sufficiently high for many construction applications.
  • Building information modelling for off-site construction: Review and
           future directions
    • Abstract: Publication date: May 2019Source: Automation in Construction, Volume 101Author(s): Xianfei Yin, Hexu Liu, Yuan Chen, Mohamed Al-Hussein Building Information Modelling (BIM) and off-site construction (OSC) are increasingly applied in the architecture, engineering and construction (AEC) industry due to their many benefits to project stakeholders, such as enhanced design visualization, improved data exchanges, reduced construction waste, improved productivity, and higher product quality. Substantial research efforts have thus been devoted to these topics in recent decades, resulting in a large amount of literature regarding BIM and OSC. This research explores the state-of-the-art in BIM for OSC by means of a bibliometric-qualitative review method. The objective of this research is to uncover the synthesis between BIM and OSC and to identify research trends as well as gaps in knowledge that can be addressed in future research on BIM for OSC. Science maps are constructed by means of bibliometric analysis in order to objectively identify the main research topics of these two fields both separately and jointly based on identified academic publications from Scopus (i.e., 4395 publications on BIM, 2841 publications on OSC, and 113 publications on BIM for OSC). A qualitative review is further conducted on 77 screened research publications (including articles, reviews, conference papers) with a particular focus on BIM for OSC. Through quantitative analysis and in-depth discussion of BIM for OSC, research gaps are identified, and future directions are further proposed as follows: BIM-based generative design for prefabrication, cloud BIM-based data exchange for OSC, robotics and 3D printing for OSC, BIM-enabled big data analytics toward best OSC practice, benefits and its assessment model of BIM for OSC. This research contributes to the body of knowledge by synthesizing the state of the art of BIM for OSC and exposing the research needs in this area in order to improve AEC practice.Graphical abstractUnlabelled Image
  • Development of high-accuracy edge line estimation algorithms using
           terrestrial laser scanning
    • Abstract: Publication date: May 2019Source: Automation in Construction, Volume 101Author(s): Qian Wang, Hoon Sohn, Jack C.P. Cheng Accurate estimation of object edge lines is the key for accurate dimension estimations. However, due to the limited spatial resolution of terrestrial laser scanning and the existence of mixed pixels along object edges, edge line estimation is always imperfect. Most of the existing edge line estimation algorithms simply remove mixed pixels before edge line estimation without utilizing mixed pixel data. This study developed high-accuracy edge line estimation algorithms for flat surfaces using 3D terrestrial laser scanning. In this study, four different edge line estimation algorithms are proposed and compared, and two of them leverage information from mixed pixels to improve the edge line estimation accuracy. The effects of scan data parameters on the performance of the edge line estimation algorithms are investigated using numerical simulations and validation experiments. Based on the simulation results, recommendations of edge line estimation algorithm and scanning settings are provided, which are further validated through experiments.
  • Wireless electric appliance control for smart buildings using indoor
           location tracking and BIM-based virtual environments
    • Abstract: Publication date: May 2019Source: Automation in Construction, Volume 101Author(s): Khandakar M. Rashid, Joseph Louis, Kenneth Kwaku Fiawoyife Smart home environments are becoming increasingly popular due to the emerging application of Internet of Things (IoT) in the built environment. However, user interaction with connected devices suffers from numerous disadvantages such as complex and cumbersome user interfaces, unreliable voice and gesture interfaces, and the requirement for prior knowledge of the environment. This paper presents an intuitive point-and-click framework to control electrical fixtures in a smart built environment. This functionality is enabled by coupling an ultra-wideband (UWB)-based indoor positioning system and an inertial measurement unit (IMU) to retrieve contextual information of the user with respect to the built environment when the user performs the pointing action. This information is then input into a building information model (BIM)-based virtual environment wherein the appliance of interest to the user is determined. The subsequent clicking action of the user then turns the devices on or off based on its prior state via the IoT infrastructure in the building. Initial prototype testing through a case study yielded promising results that prove the effectiveness of the framework. Apart from the provision of a novel user-interaction mechanism for controlling electrical fixtures, the proposed framework provides a means of extending the utility of building information models (BIM) to the operation phase of a facility and provides a means for its integration with IoT and smart devices.
  • Integrated optimization of rebar detailing design and installation
           planning for waste reduction and productivity improvement
    • Abstract: Publication date: May 2019Source: Automation in Construction, Volume 101Author(s): Chaoyu Zheng, Chaojue Yi, Ming Lu Cutting rebar stocks to fit to specific requirements of designed structural components on a construction project results in cutting losses, which is the major contributor to the generation of construction waste. Previous research developed mathematical models to analytically minimize rebar cutting losses, but without integrating engineering design, workface plan, detailed estimating, plus environmental factors in optimization. In this research, integer programming technique is applied at the first stage to generate the optimal rebar stock procurement plan and cutting plan for each rebar layout arrangement alternative in a particular structural component. Next, pareto optimization techniques are applied to simultaneously optimize total cost and material waste, resulting in the optimal trade-off solution. A reinforcing concrete slab-on-grade case from a classic textbook of detailed estimating is adapted as a test-bed to show that the proposed methodology is capable of producing trade-off solutions in terms of reducing wastage and lowering total cost, leading to identification of the optimal slab rebar layout arrangement plan and generation of associated rebar stock procurement plan, cutting plan and crew installation plan ready for field implementation. “What if” scenario analyses are also provided to further validate the proposed methodology and gain insight in the relationships between input parameters and optimum solutions.
  • Identification of the degree of fibre-cement boards degradation under the
           influence of high temperature
    • Abstract: Publication date: May 2019Source: Automation in Construction, Volume 101Author(s): Krzysztof Schabowicz, Tomasz Gorzelańczyk, Mateusz Szymków This paper presents an original methodology for identifying the degree of degradation of fibre-cement boards caused by high temperature. The methodology enables the reliable and automated identification of the degree of degradation on the basis of parameters determined using non-destructive methods. The methods include: the ultrasonic method, the acoustic emission method together with the analysis of the results by artificial neural networks, and the optical method using a scanning electron microscope. First, fibre-cement boards are preliminarily tested by means of the ultrasonic method. Thanks to this method boards in which structural changes likely took place are simply and quickly singled out to be subjected to more thorough testing using the acoustic emission method, which is the principal method in the methodology. The optical method is an auxiliary method used mainly to verify the results yielded by the other two methods. The investigations carried out by the authors have shown that the identification of the degree of fibre-cement board degradation solely on the basis of bending strength (MOR) is insufficient. It should be noted that the methodology was verified in practice through experiments carried out directly on the production line.
  • IFC-centric performance-based evaluation of building evacuations using
           fire dynamics simulation and agent-based modeling
    • Abstract: Publication date: May 2019Source: Automation in Construction, Volume 101Author(s): Farid Mirahadi, Brenda McCabe, Arash Shahi Despite recent technological advancements in the architecture, engineering, and construction (AEC) industries, the number of fire-caused fatalities in residential and commercial buildings in the United States over the last decade has consistently been an order of magnitude higher than fatalities caused by all other types of natural disasters combined. In this research, EvacuSafe is developed as a tool for designers to allow for layout optimization of buildings and facilities in terms of their evacuation safety performance. Contributions of this research include the development and validation of two spatiotemporal risk indices to quantify the safety of the egress routes and individual building compartments. Other unique advantages of EvacuSafe include the seamless integration of fire dynamics simulation, agent-based crowd simulation and building information models (BIM) using IFC data structures, allowing EvacuSafe to be readily used by designers to analyze a building layout design under various fire scenarios and for layout design optimization based on multiple safety criteria. The development of the framework, the risk indices, and the IFC-based integration is illustrated and validated through a case study on a two-story office building with 59 compartments. The results of the implementation show that the EvacuSafe is a valuable tool for evacuation design and planning that provides a more comprehensive evaluation of the evacuation performance in comparison to the existing indices and safety measures in the industry.
  • Developing base domain ontology from a reference collection to aid
           information retrieval
    • Abstract: Publication date: April 2019Source: Automation in Construction, Volume 100Author(s): Nai-Wen Chi, Yu-Huei Jin, Shang-Hsien Hsieh Information Retrieval (IR) is a common technique used to manage a growing technical document collection. Owing to the complexity of technical documents, the direct application of IR often leads to unsatisfactory results. Therefore, many semantic approaches, such as ontology, are applied to enhance IR performance. However, ontology development is often a labor-intensive process and the availability of ontologies significantly influences the applicability of IR. Consequently, many efforts are dedicated to the automation of the ontology development process for reducing the human labors. In addition, reference collections, which are developed as the golden standards to evaluate IR performance in many IR research, can be regarded as an available resource for ontology development. To ease domain ontology development for supporting IR, this research proposes a semi-automated approach to develop a base domain ontology from a reference collection. This research also validates the base ontology on an Earthquake Engineering reference collection, called the NCREE (National Center for Research on Earthquake Engineering) collection. The results reveal that the human workload of the proposed approach is affordable. Furthermore, the base domain ontology can help achieve a satisfactory IR performance.
  • Non-contact sensing based geometric quality assessment of buildings and
           civil structures: A review
    • Abstract: Publication date: April 2019Source: Automation in Construction, Volume 100Author(s): Min-Koo Kim, Qian Wang, Heng Li Geometric quality assessment (QA) of buildings and civil structures is an essential process in a construction project. Timely geometric QA is able to prevent construction delays and cost overruns, maintain the performance of in-service facilities, and extend their service life. Geometric QA based on manual measurement has been proven to be time-consuming, unreliable and costly. Therefore, non-contact sensing technologies have been widely deployed for more efficient and accurate geometric QA. While a large number of techniques and algorithms have been developed in previous studies for non-contact sensing-based geometric QA, relatively little work has been done to systematically study and review their performance. This study reviews recent research on non-contact sensing-based geometric QA of buildings and civil structures in three project phases: 1) manufacturing, 2) assembly/construction, and 3) operation/maintenance phase. For each phase, the geometric QA is further categorized based on different QA purposes, including dimensional QA, surface QA, and deflection/deformation QA. Based on collected papers, two parts of analysis, consisting of 1) the adoption of different sensors for different project phases and 2) the performance of the QA algorithms/methods, are discussed in detail. Following the literature review and in-depth discussions, research gaps and future research directions are suggested, including improvement of QA techniques in each project phase, improvement of QA techniques applicability, and improvement of photogrammetry accuracy. This technical review is expected to have not only academic value by suggesting technical research directions based on the research gaps, but also practical values that allow contractors and subcontractors to automate and improve their current geometric QA practice.
  • Automated daylight-linked control systems performance with illuminance
           sensors for side-lit offices in the Mediterranean area
    • Abstract: Publication date: April 2019Source: Automation in Construction, Volume 100Author(s): Laura Bellia, Francesca Fragliasso Daylight-linked control systems (DLCSs) installation guarantees noticeable benefits, optimizing both energy saving and occupants' visual comfort. These systems performances are influenced by different factors, above all daylight availability. To deepen this issue, daylight illuminance measurements were performed at the work-plane and at the ceiling (corresponding to the position of a typical closed-loop photosensor) in a side-lit office during summer and winter. The office was equipped with two windows: one facing South and the other facing West. For each orientation, starting from measurements, the functioning of different closed-loop DLCSs was modelled. Results underlined that proportional dimming systems guarantee the best performances for each analyzed case, however they demonstrated that, for specific indoor daylight levels and task illuminances, switching systems can be profitable as well. It was underlined that, for specific daylight conditions, integral reset control guarantees performances comparable with those of proportional dimming. However, it was observed that for integral reset and multi-levels stepped systems, the risk that total illuminances (daylight plus electric light) are lower than the prescribed ones is higher than the other analyzed control strategies.
  • The effects of control methods on energy efficiency and position tracking
           of an electro-hydraulic excavator equipped with zonal hydraulics
    • Abstract: Publication date: April 2019Source: Automation in Construction, Volume 100Author(s): Shuzhong Zhang, Tatiana Minav, Matti Pietola, Heikki Kauranne, Jyrki Kajaste Compared to conventional central hydraulic systems still typically used in most off-road machinery, the main advantages of zonal hydraulics are lower pressure losses, lower power demand, and thus, lower energy consumption on a system level and easy automatisation. In this case study, zonal hydraulics is realised with Direct Driven Hydraulics (DDH), and it is implemented as a replacement for the conventional centralised hydraulic system of a micro excavator. A simulation model for the front attachment of the excavator with three individual DDH units is presented. The proposed model of a single DDH unit was partially validated with a standalone test setup. Various common working cycles, such as digging and dumping with differing payloads and levelling, were adopted for this simulation study. Two controllers—a conventional proportional-integral-derivative (PID) controller and a flow-rate-matching feedforward plus PID controller—were designed for each DDH unit. Thereafter, detailed comparisons were provided, consisting of energy consumption, energy efficiency and position tracking performance between the two controllers. The results showed that the proposed feedforward plus PID controller had better performance than a conventional PID in the studied case. By adopting this controller, higher system energy efficiency (improved by 11–24% without regeneration and by 8–28% when considering regeneration) and better position tracking performance (root mean square tracking error and max errors lowered by 20–87% and 35–83%, respectively) were achieved simultaneously. Therefore, this work can be applied to zonal hydraulics to facilitate the electrification and automatisation of construction machinery.
  • Unmanned rolling compaction system for rockfill materials
    • Abstract: Publication date: April 2019Source: Automation in Construction, Volume 100Author(s): Qinglong Zhang, Tianyun Liu, Zhaosheng Zhang, Zehua Huangfu, Qingbin Li, Zaizhan An The compaction quality of earth–rock dams is mainly controlled by compaction parameters (the number of compaction passes, compaction trajectory, vibration frequency, lift thickness, and driving speed) during construction. However, relying on the operator to implement control of the compaction parameters can result in unrolled, cross-rolling, and repeated-rolling problems between adjacent work faces. Additionally, existing compaction quality control methods cannot satisfy the requirements of construction operations under all weather and extreme conditions. This paper presents an unmanned rolling compaction system for rockfill materials during construction, including an in situ unmanned roller that is based on automatic driving technology, a real-time kinematic global positioning satellite system, a wireless communication system, and a real-time remote monitoring centre based on the client/server mode. The control effect and advantages of the proposed system were proven by a case study on the Qianping Project in China. Consequently, it was demonstrated that the proposed system is considerably automatic, accurate, efficient, and reliable for avoiding the influence of human factors and, ultimately, improving the compaction quality and efficiency of earth–rock dams.
  • Fuzzy resource-constrained project scheduling with multiple routes: A
           heuristic solution
    • Abstract: Publication date: April 2019Source: Automation in Construction, Volume 100Author(s): Alireza Birjandi, S. Meysam Mousavi The resource-constrained project scheduling problem (RCPSP) with multiple routes by considering flexible activities is one of important subjects in project scheduling problems. The ability to select an appropriate route for implementing the flexible activities is a rational reason for indicating more complexity of the problem relative to common RCPSP that attracted the attention of the researchers in the recent decade. On the other hand, due to lack of access to project crisp information, the needs to consider uncertainty concepts in the RCPSP will be significant. Hence, in this paper, a new fuzzy mixed integer nonlinear programming (MINLP) model is presented under uncertain conditions. A hybrid meta-heuristic approach is also proposed to minimize costs of project completion. In this approach, to generate high quality initial solutions, a heuristic algorithm is designed based on distribution rules. Then, to change and assign an appropriate route from available routes for flexible activities, a meta-heuristic algorithm is presented based on binary particle swarm optimization (PSO). Finally, to generate best solution from routes assigned by the binary PSO, a meta-heuristic based on genetic algorithm (GA) is proposed. To appraise the effectiveness of presented model, different test problems are solved by the proposed approach, and comparisons are provided with results obtained by the GA and PSO.
  • Prediction of geological conditions for a tunnel boring machine using big
           operational data
    • Abstract: Publication date: April 2019Source: Automation in Construction, Volume 100Author(s): Qianli Zhang, Zhenyu Liu, Jianrong Tan This paper presents a comprehensive procedure to predict geological conditions (i.e., rock mass types) for a tunneling boring machine (TBM) based on big operational data including four channels: cutterhead speed, cutterhead torque, thrust, and advance rate. To handle the big operational data, a Balanced Iterative Reducing and Clustering using Hierarchies (BIRCH) algorithm is adopted to effectively compress 12,038,636 TBM operational data to only 5014 leaf node entries. A K-means++ algorithm is used to find potential rock mass types in the TBM operational data. By comparing three kinds of classifiers, a support vector classifier (SVC) with an average precision of 98.6% is selected as the best geological conditions prediction model. Test results on historical TBM operational segments show that most adjacent operational segments have the same rock mass type. The change in rock mass type is a dynamic process, which first fluctuates between two rock mass types and gradually stabilizes at the latter type. In addition, the cutterhead torque and thrust are found to better reflect the change of rock mass types compared with the advance rate and cutterhead speed. Test results on a water conveyance tunnel show that using only 20% of TBM training data the developed prediction model can generate 84.4% precision and 88.8% recall performance for the remaining 80% testing data. Hence, the proposed procedure could be applied to big TBM operational data to accurately detect, characterize, and predict rock mass types, which is of critical importance to safe and efficient tunneling.
  • The Mechanism and Challenges of Validating a Building Information Model
           regarding data exchange standards
    • Abstract: Publication date: April 2019Source: Automation in Construction, Volume 100Author(s): Yong-Cheol Lee, Wawan Solihin, Charles M. Eastman The complicated requirements of projects and the increasing number of project participants have resulted in numerous, iterative BIM data exchange processes for diverse domain professionals. When BIM data are imported into and exported from BIM authoring tools, the seamless sharing and consistent maintenance of BIM data throughout a building project require homogeneous BIM data exchange standards and robust validation frameworks. Several versions of the Industry Foundation Class (IFC) schema provide the schematic foundation of BIM data exchange standards. In addition, diverse disciplines have developed the Model View Definition (MVD), which refers to data exchange specifications defined as a subset of the IFC schema. However, BIM data validation against the requirements of the MVD and the limitations of this data evaluation process have not been thoroughly investigated, which results in syntactic problems, semantic errors, and unintended geometrical transformation. In an effort to address these issues, the research study involves the development of the MVD-based rule-checking features on the IfcDoc tool and includes the in-depth discussion of the complexity and challenges of BIM data validation following the Precast Concrete National BIM Standard. In addition, this paper describes identified knowledge regarding BIM data validation using the MVD relating to procedures, scope, and complexity, and includes the challenges and limitations of automated rule-based BIM data checking to which future researchers can refer in order to avoid revealed problems in their MVD development and evaluation processes.
  • Mapping fire risk of passenger-carried fire load in metro system via floor
           field cellular automaton
    • Abstract: Publication date: April 2019Source: Automation in Construction, Volume 100Author(s): Danyan Huang, Siuming Lo, Juan Chen, Zhijian Fu, Yuan Zheng, Lin Luo, Yifan Zhuang, Han Cheng, Lizhong Yang Rapid urbanization in many large cities around the world fosters the rapid expansion of mass transit rail/metro services. It becomes one of the most important transportation modes in our daily lives and greatly improves the efficiency of travel. Meanwhile, as existing statistics show, fire accidents are one of the serious threats that metro faced with. Of all these accidents, fire risk associated with the fire load carried by the passengers have rarely been studied due to its dynamic nature. To facilitate efficient planning for pedestrian movement and to evaluate the potential fire risk in metro stations, research on the passenger-carried fire load pattern deserves more attention and efforts. In this study, a method for mapping fire risk of passenger-carried fire load is proposed through the combination of pedestrian flow modeling and fire risk assessment. Influencing area of passenger-carried fire load, time interval of fire risk map, and desired velocity of passengers constitute the dynamic nature of fire risk, and they are found to have significant effects on the variation of fire risk. A larger influencing area results in a smoother fire risk surface and a wider range of the risk regions, while a shorter time interval may provide a more accurate distribution of fire risk but have a larger variance. Faster desired velocity of passengers makes a larger fluctuation of fire risk distribution as passengers move quicker. The simulation output could represent not only the detailed features of pedestrian traffic but also the dynamic variation of fire risks in the simulation scenarios. This method can serve as a useful tool to find out high-risk regions and provide information for facility management and design of metro facilities.
  • Autonomous motion planning and task execution in geometrically adaptive
           robotized construction work
    • Abstract: Publication date: April 2019Source: Automation in Construction, Volume 100Author(s): Kurt M. Lundeen, Vineet R. Kamat, Carol C. Menassa, Wes McGee This research explores a means by which a construction robot can leverage its sensors and a Building Information Model (BIM) to perceive and model the actual geometry of its workpieces, adapt its work plan, and execute work in a construction environment. The adaptive framework uses the Generalized Resolution Correlative Scan Matching (GRCSM) search algorithm for model registration, a new formulation for fill plan adaptation, and new hardware for robotic material dispensing. Joint filling is used as a case study to demonstrate the formulation of an adaptive plan and evaluate a robot's ability to perform adaptive work in an environment where the actual location and geometry of its workpieces may deviate from their designed counterparts. Averaged across five experiments, the robot was found capable of identifying the true position and orientation of the joint's center with a mean norm positioning error of 0.11 mm and orientation error of 1.1°. The adaptive framework offers significant promise for a range of construction activities, including those involving objects of complex geometry and detailed work.
  • Detecting and measuring construction workers' vigilance through hybrid
           kinematic-EEG signals
    • Abstract: Publication date: April 2019Source: Automation in Construction, Volume 100Author(s): Di Wang, Heng Li, Jiayu Chen Safety management in construction is crucial to the success of a project. A large amount of accidents is the results of construction workers unsafe behaviors, which associated with inappropriate risk detection and perception. Recently, researchers proposed to implement electroencephalograph (EEG) to measure construction workers' perceived risks based on their vigilance status. However, the EEG signals are often contaminated by the artifacts that caused by muscle movements and traditional stationary measurement metrics are not suitable for wearable implementation in the construction industry. To fill in this research gap, this study proposed a new hybrid kinematic-EEG data type and adopted wavelet packet decomposition to compute the vigilance measurement indices with redefined the EEG sub-bands. A validation experiment was conducted to examine thirty candidate vigilance indicators and two mature measurement metrics were compared to select the most proper and consistent indicators. The experiment results suggested three indices with highest correlation coefficients can be applied in vigilance detection. These quantitative vigilance indicators can provide a new perspective to understand the construction workers' risk perception process and improve the safety management on construction sites.
  • BIM-supported 4D acoustics simulation approach to mitigating noise impact
           on maintenance workers on offshore oil and gas platforms
    • Abstract: Publication date: April 2019Source: Automation in Construction, Volume 100Author(s): Yi Tan, Yi Fang, Teng Zhou, Vincent J.L. Gan, Jack C.P. Cheng Maintenance workers on offshore platforms are usually exposed to a high level of noise from the working environment as most of the daily operations of oil and gas process machines generate noise over 85 dBA, causing substantial health and safety issues. Avoiding exposure of workers to the modules that generate high sound power during maintenance activities can significantly mitigate the noise impact on human health and safety. Noise simulation and noise mapping methodologies can be used to evaluate and quantify the noise impact on offshore platforms. However, limited digital information of offshore platforms makes noise simulation setup challenging as modules on topsides have a high level of details. In addition, current noise mapping studies are usually conducted in a 3D static manner, which only reflects noise impact at a certain time. Building information modeling (BIM) provides detailed physical and functional characteristics of a facility that can be applied to support the noise simulation on offshore platforms. In this study, attempts have been made to develop a BIM-supported 4D acoustics simulation approach to mitigating the noise impact on maintenance workers of offshore platforms. BIM is utilized to automatically provide required information to facilitate noise simulation setup. 4D acoustics simulation approach is used to obtain the spatio-temporary sound pressure level (SPL) distribution of the noise generated by the functional modules on offshore platforms. Acoustic diffusion equation (ADE) is selected as noise SPL prediction model. To evaluate noise impact on maintenance workers, an equation based on daily noise dose is then newly derived to quantify the noise impact. Optimization algorithm is used to determine the maintenance schedule with the minimum daily noise dose. Finally, optimized maintenance schedule that has considered noise impact is used to update the daily maintenance plan on offshore platforms. An example of a fixed offshore platform with maintenance daily activity information is used to illustrate the proposed BIM-supported 4D acoustics simulation approach. The results show that the developed approach can well mitigate noise impact on maintenance workers on offshore platforms, resulting in health and safety management improvement.
  • A reference model for BIM capability assessments
    • Abstract: Publication date: Available online 31 December 2018Source: Automation in ConstructionAuthor(s): Gokcen Yilmaz, Asli Akcamete, Onur Demirors Various BIM capability and maturity models have been developed to assist architecture, engineering, construction and facilities management (AEC/FM) organizations in measuring the performance of their BIM utilizations. Due to differences in applicability and focus of these models, they are able to meet the demands of different BIM users. In this study, eight BIM capability and maturity models identified in the literature are compared based on several different criteria. The results show that there is no holistic model that includes process definitions that cover the facility life-cycle and contains measures for assessing all of these AEC/FM processes. A reference model for assessing BIM capability of AEC/FM processes was developed. It was grounded on the meta-model of ISO/IEC 330xx family of standards and developed iteratively via expert reviews and an exploratory case study. It includes AEC/FM processes which were evaluated using the BIM capability levels, their associated BIM attributes, and a four-point rating scale. BIM-CAREM was evaluated by conducting four explanatory case studies. The results showed that BIM-CAREM was capable of identifying BIM capabilities of different AEC/FM processes.
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