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COMPUTER SCIENCE (1194 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: 20)
Abakós     Open Access   (Followers: 4)
ACM Computing Surveys     Hybrid Journal   (Followers: 27)
ACM Journal on Computing and Cultural Heritage     Hybrid Journal   (Followers: 8)
ACM Journal on Emerging Technologies in Computing Systems     Hybrid Journal   (Followers: 12)
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: 7)
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: 17)
ACM Transactions on Computer-Human Interaction     Hybrid Journal   (Followers: 15)
ACM Transactions on Computing Education (TOCE)     Hybrid Journal   (Followers: 5)
ACM Transactions on Design Automation of Electronic Systems (TODAES)     Hybrid Journal   (Followers: 4)
ACM Transactions on Economics and Computation     Hybrid Journal  
ACM Transactions on Embedded Computing Systems (TECS)     Hybrid Journal   (Followers: 3)
ACM Transactions on Information Systems (TOIS)     Hybrid Journal   (Followers: 19)
ACM Transactions on Intelligent Systems and Technology (TIST)     Hybrid Journal   (Followers: 7)
ACM Transactions on Interactive Intelligent Systems (TiiS)     Hybrid Journal   (Followers: 3)
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     Full-text available via subscription   (Followers: 29)
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: 11)
Advanced Engineering Materials     Hybrid Journal   (Followers: 28)
Advanced Science Letters     Full-text available via subscription   (Followers: 10)
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: 2)
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: 15)
Advances in Computing     Open Access   (Followers: 2)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 51)
Advances in Engineering Software     Hybrid Journal   (Followers: 27)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 13)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 22)
Advances in Human-Computer Interaction     Open Access   (Followers: 20)
Advances in Materials Sciences     Open Access   (Followers: 14)
Advances in Operations Research     Open Access   (Followers: 12)
Advances in Parallel Computing     Full-text available via subscription   (Followers: 6)
Advances in Porous Media     Full-text available via subscription   (Followers: 5)
Advances in Remote Sensing     Open Access   (Followers: 44)
Advances in Science and Research (ASR)     Open Access   (Followers: 6)
Advances in Technology Innovation     Open Access   (Followers: 5)
AEU - International Journal of Electronics and Communications     Hybrid Journal   (Followers: 8)
African Journal of Information and Communication     Open Access   (Followers: 8)
African Journal of Mathematics and Computer Science Research     Open Access   (Followers: 4)
AI EDAM     Hybrid Journal  
Air, Soil & Water Research     Open Access   (Followers: 11)
AIS Transactions on Human-Computer Interaction     Open Access   (Followers: 6)
Algebras and Representation Theory     Hybrid Journal   (Followers: 1)
Algorithms     Open Access   (Followers: 11)
American Journal of Computational and Applied Mathematics     Open Access   (Followers: 5)
American Journal of Computational Mathematics     Open Access   (Followers: 4)
American Journal of Information Systems     Open Access   (Followers: 5)
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: 11)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 12)
Annals of Pure and Applied Logic     Open Access   (Followers: 2)
Annals of Software Engineering     Hybrid Journal   (Followers: 13)
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: 1)
Applied Artificial Intelligence: An International Journal     Hybrid Journal   (Followers: 12)
Applied Categorical Structures     Hybrid Journal   (Followers: 2)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 11)
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: 10)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 5)
Applied Soft Computing     Hybrid Journal   (Followers: 16)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 4)
Applied System Innovation     Open Access  
Architectural Theory Review     Hybrid Journal   (Followers: 3)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 5)
Archive of Numerical Software     Open Access  
Archives and Museum Informatics     Hybrid Journal   (Followers: 146)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 5)
arq: Architectural Research Quarterly     Hybrid Journal   (Followers: 7)
Artifact     Hybrid Journal   (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 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   (Followers: 1)
Automatic Control and Computer Sciences     Hybrid Journal   (Followers: 4)
Automatic Documentation and Mathematical Linguistics     Hybrid Journal   (Followers: 5)
Automatica     Hybrid Journal   (Followers: 11)
Automation in Construction     Hybrid Journal   (Followers: 6)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 9)
Basin Research     Hybrid Journal   (Followers: 5)
Behaviour & Information Technology     Hybrid Journal   (Followers: 52)
Big Data and Cognitive Computing     Open Access   (Followers: 2)
Biodiversity Information Science and Standards     Open Access  
Bioinformatics     Hybrid Journal   (Followers: 294)
Biomedical Engineering     Hybrid Journal   (Followers: 15)
Biomedical Engineering and Computational Biology     Open Access   (Followers: 13)
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 21)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 37)
Briefings in Bioinformatics     Hybrid Journal   (Followers: 46)
British Journal of Educational Technology     Hybrid Journal   (Followers: 144)
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: 14)
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: 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)
Cluster Computing     Hybrid Journal   (Followers: 1)
Cognitive Computation     Hybrid Journal   (Followers: 4)
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: 12)
Communication Theory     Hybrid Journal   (Followers: 21)
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 Partial Differential Equations     Hybrid Journal   (Followers: 3)
Communications of the ACM     Full-text available via subscription   (Followers: 52)
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: 2)
Computational and Mathematical Methods in Medicine     Open Access   (Followers: 2)
Computational and Mathematical Organization Theory     Hybrid Journal   (Followers: 2)
Computational and Structural Biotechnology Journal     Open Access   (Followers: 2)
Computational and Theoretical Chemistry     Hybrid Journal   (Followers: 9)
Computational Astrophysics and Cosmology     Open Access   (Followers: 1)
Computational Biology and Chemistry     Hybrid Journal   (Followers: 11)
Computational Chemistry     Open Access   (Followers: 2)
Computational Cognitive Science     Open Access   (Followers: 2)
Computational Complexity     Hybrid Journal   (Followers: 4)
Computational Condensed Matter     Open Access  
Computational Ecology and Software     Open Access   (Followers: 9)
Computational Economics     Hybrid Journal   (Followers: 9)
Computational Geosciences     Hybrid Journal   (Followers: 16)
Computational Linguistics     Open Access   (Followers: 23)
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: 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: 14)
Computational Statistics & Data Analysis     Hybrid Journal   (Followers: 30)
Computer     Full-text available via subscription   (Followers: 94)
Computer Aided Surgery     Open Access   (Followers: 6)
Computer Applications in Engineering Education     Hybrid Journal   (Followers: 8)
Computer Communications     Hybrid Journal   (Followers: 16)
Computer Engineering and Applications Journal     Open Access   (Followers: 5)
Computer Journal     Hybrid Journal   (Followers: 9)
Computer Methods in Applied Mechanics and Engineering     Hybrid Journal   (Followers: 23)
Computer Methods in Biomechanics and Biomedical Engineering     Hybrid Journal   (Followers: 12)
Computer Methods in the Geosciences     Full-text available via subscription   (Followers: 2)

        1 2 3 4 5 6 | Last

Journal Cover Automation in Construction
  Journal Prestige (SJR): 1.571
  Citation Impact (citeScore): 65
  Number of Followers: 6  
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 0926-5805
   Published by Elsevier Homepage  [3162 journals]
  • Ergonomic posture recognition using 3D view-invariant features from single
           ordinary camera
    • Authors: Hong Zhang; Xuzhong Yan; Heng Li
      Pages: 1 - 10
      Abstract: Publication date: October 2018
      Source:Automation in Construction, Volume 94
      Author(s): Hong Zhang, Xuzhong Yan, Heng Li
      Manual construction tasks are physically demanding, requiring prolonged awkward postures that can cause pain and injury. Person posture recognition (PPR) is essential in postural ergonomic hazard assessment. This paper proposed an ergonomic posture recognition method using 3D view-invariant features from a single 2D camera that is non-intrusive and widely installed on construction sites. Based on the detected 2D skeletons, view-invariant relative 3D joint position (R3DJP) and joint angle are extracted as classification features by employing a multi-stage convolutional nerual network (CNN) architecture, so that the learned classifier is not sensitive to camera viewpoints. Three posture classifiers regarding arms, back, and legs are trained, so that they can be simultaneously classified in one video frame. The posture recognition accuracies of three body parts are 98.6%, 99.5%, 99.8%, respectively. For generalization ability, the relevant accuracies are 94.9%, 93.9%, 94.6%, respectively. Both the classification accuracy and generalization ability of the method outperform previous vision-based methods in construction. The proposed method enables reliable and accurate postural ergonomic assessment for improving construction workers' safety and healthy.

      PubDate: 2018-06-08T19:07:29Z
      DOI: 10.1016/j.autcon.2018.05.033
      Issue No: Vol. 94 (2018)
  • A dynamic approach for evacuees' distribution and optimal routing in
           hazardous environments
    • Authors: Pawel Boguslawski; Lamine Mahdjoubi; Vadim Zverovich; Fodil Fadli
      Pages: 11 - 21
      Abstract: Publication date: October 2018
      Source:Automation in Construction, Volume 94
      Author(s): Pawel Boguslawski, Lamine Mahdjoubi, Vadim Zverovich, Fodil Fadli
      In a complex built environment, the situation changes rapidly during an emergency event. Typically, available systems rely heavily on a static scenario in the calculation of safest routes for evacuation. In addition, egress route calculation and evacuation simulations are performed separately from path-finding for rescue teams. In this paper, we propose a state-of-the-art dynamic approach, which deals not only with a 3D environment, shape of spaces and hazard locations, but also with the dynamic distribution of occupants during evacuation. A database of densities and information about hazard influence are generated and used to calculate optimal paths for rescue teams. Three simulation scenarios were rigorously compared in this study, namely static with constant density values determined for subsequent stages of evacuation, semi-dynamic with densities representing an actual people distribution in a building during evacuation simulation, and dynamic with temporal distribution of evacuees stored in a database, and dynamically used in optimal path calculations. The findings revealed that static simulation is significantly different from semi-dynamic and dynamic simulations, and each type of simulation is better suited for the decision task at hand. These results have significant implications on achieving a rapid and safe evacuation of people during an emergency event.

      PubDate: 2018-06-08T19:07:29Z
      DOI: 10.1016/j.autcon.2018.05.032
      Issue No: Vol. 94 (2018)
  • Construction automation: Research areas, industry concerns and suggestions
           for advancement
    • Authors: Qian Chen; Borja García de Soto; Bryan T. Adey
      Pages: 22 - 38
      Abstract: Publication date: October 2018
      Source:Automation in Construction, Volume 94
      Author(s): Qian Chen, Borja García de Soto, Bryan T. Adey
      Construction automation has shown the potential to increase construction productivity after years of technical development and experimenting in its field. Exactly how, and the possible benefits and challenges of construction automation, though is unclear and missing from current research efforts. In order to better understand the comprehensive potential of construction automation for increasing construction productivity and the associated possible ramifications, an objective and data-driven review of the use of automation technologies in construction was done. The review was accomplished by using text mining methods on publically available written documents, covering a wide range of relevant data including scientific publications and social media. The text mining software VOS Viewer and RapidMiner Studio were used to determine the most promising areas of research through the analysis of scientific publications, and the main areas of concern of industry through the analysis of text on social media, respectively. These research areas and concerns are summarized in this paper, and based on them suggestions for industry are made to help advance the uptake of automation in construction.
      Graphical abstract image

      PubDate: 2018-06-08T19:07:29Z
      DOI: 10.1016/j.autcon.2018.05.028
      Issue No: Vol. 94 (2018)
  • The study on the integrated control system for curtain wall building
           façade cleaning robot
    • Authors: Yong-Seok Lee; Sang-Ho Kim; Myeong-Su Gil; Seung-Hoon Lee; Min-Sung Kang; Sung-Hoon Jang; Bo-Hyun Yu; Byung-Gab Ryu; Daehie Hong; Chang-Soo Han
      Pages: 39 - 46
      Abstract: Publication date: October 2018
      Source:Automation in Construction, Volume 94
      Author(s): Yong-Seok Lee, Sang-Ho Kim, Myeong-Su Gil, Seung-Hoon Lee, Min-Sung Kang, Sung-Hoon Jang, Bo-Hyun Yu, Byung-Gab Ryu, Daehie Hong, Chang-Soo Han
      Recently, with a growing number of high-rise buildings in cities, interest in building facade maintenance is increasing. The existing method of cleaning the exterior walls of existing high-rise buildings depended on the methods by workers who used ropes, gondolas, and winch systems. Recently, however, BMU (building maintenance unit) has been developed and applied to resolve safety problems and boost work efficiency. In Germany, USA, France and other countries, various types of robot systems for building façade maintenance are being applied. In South Korea, façade cleaning robots attached with curtain walls are also being developed. In this paper, we propose an integrated control system for the stable control of robots with the building façade cleaning technology. The proposed control system can be divided into three stages such as preparation stage, cleaning stage, and return stage. Each independent robot system performs tasks such as cleaning, moving, and obstacle detection according to each stage. A wireless communication system for stable communication between robots was proposed and applied for controlling the robot system. The proposed integrated control system was applied to building façade cleaning robots and its efficiency was verified compared with existing high-rise building cleaning methods.

      PubDate: 2018-06-11T19:08:29Z
      DOI: 10.1016/j.autcon.2017.12.030
      Issue No: Vol. 94 (2018)
  • Additive manufacturing technology and its implementation in construction
           as an eco-innovative solution
    • Authors: Seyed Hamidreza Ghaffar; Jorge Corker; Mizi Fan
      Pages: 1 - 11
      Abstract: Publication date: September 2018
      Source:Automation in Construction, Volume 93
      Author(s): Seyed Hamidreza Ghaffar, Jorge Corker, Mizi Fan
      Additive manufacturing (AM) of construction materials has been one of the emerging advanced technologies that aim to minimise the supply chain in the construction industry through autonomous production of building components directly from digital models without human intervention and complicated formworks. However, technical challenges needs to be addressed for the industrial implementation of AM, e.g. materials formulation standardization, and interfacial bonding quality between the deposited layers amongst others. AM as one of the most highlighted key enabling technologies has the potential to create disruptive solutions, the key for its successful implementation is multidisciplinary effort in synergy involving materials science, architecture/design, computation, and robotics. There are crucial links between the material design formulations and the printing system for the manufacturing of the complex 3D geometries. Understanding and optimising the mix design for fresh rheology of materials and sufficient adhesion/cohesion of interface can allow the incorporation of complexity in the geometry.
      Graphical abstract image

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.05.005
      Issue No: Vol. 93 (2018)
  • Distributed and interoperable simulation for comprehensive disaster
           response management in facilities
    • Authors: Minji Choi; Richmond Starbuck; Seulbi Lee; Sungjoo Hwang; SangHyun Lee; Moonseo Park; Hyun-Soo Lee
      Pages: 12 - 21
      Abstract: Publication date: September 2018
      Source:Automation in Construction, Volume 93
      Author(s): Minji Choi, Richmond Starbuck, Seulbi Lee, Sungjoo Hwang, SangHyun Lee, Moonseo Park, Hyun-Soo Lee
      Disaster-related simulations can be helpful for conducting various analysis on damage evaluations and response operations in damaged facilities. However, no single simulation can solve all the functional needs for complex disaster situations due to diverse disasters, damage types, and response efforts. To address these issues, the authors have developed a distributed simulation platform for a comprehensive analysis of facility damage and response operations, which can be flexibly applied to diverse disaster situations. The High Level Architecture is adopted to synchronize different federates such as simulation models and incoming data streams within an interoperable simulation environment. The developed simulation platform includes five different disaster-related federates such as the Fire Dynamics Simulator, USGS earthquake data feeds, OpenSees structure response simulation, evacuation simulation, and restoration simulation. The accuracy of interactions among different federates was confirmed with the case simulations of a facility fire evacuation and an earthquake restoration situation. The developed platform provides a flexible and interoperable distributed simulation environment for comprehensive disaster response management of unexpected disaster situations while promoting reusability and future extendibility of existing and newly-added disaster-related simulations.

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.05.007
      Issue No: Vol. 93 (2018)
  • Automatic building information model reconstruction in high-density urban
           areas: Augmenting multi-source data with architectural knowledge
    • Authors: Ke Chen; Weisheng Lu; Fan Xue; Pingbo Tang; Ling Hin Li
      Pages: 22 - 34
      Abstract: Publication date: September 2018
      Source:Automation in Construction, Volume 93
      Author(s): Ke Chen, Weisheng Lu, Fan Xue, Pingbo Tang, Ling Hin Li
      Many studies have been conducted to create building information models (BIMs) or city information models (CIMs) as the digital infrastructure to support various smart city programs. However, automatic generation of such models for high-density (HD) urban areas remains a challenge owing to (a) complex topographic conditions and noisy data irrelevant to the buildings, and (b) exponentially growing computational complexity when the task is reconstructing hundreds of buildings at an urban scale. This paper develops a method - multi-Source recTification of gEometric Primitives (mSTEP) - for automatic reconstruction of BIMs in HD urban areas. By retrieving building base, height, and footprint geodata from topographic maps, level of detail 1 (LoD1) BIMs representing buildings with flat roof configuration were first constructed. Geometric primitives were then detected from LiDAR point clouds and rectified using architectural knowledge about building geometries (e.g. a rooftop object would normally be in parallel with the outer edge of the roof). Finally, the rectified primitives were used to refine the LoD1 BIMs to LoD2, which show detailed geometric features of roofs and rooftop objects. A total of 1361 buildings located in a four square kilometer area of Hong Kong Island were selected as the subjects for this study. The evaluation results show that mSTEP is an efficient BIM reconstruction method that can significantly improve the level of automation and decrease the computation time. mSTEP is also well applicable to point clouds of various densities. The research is thus of profound significance; other cities and districts around the world can easily adopt mSTEP to reconstruct their own BIMs/CIMs to support their smart city programs.

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.05.009
      Issue No: Vol. 93 (2018)
  • Digital construction: From point solutions to IoT ecosystem
    • Authors: Roy Woodhead; Paul Stephenson; Denise Morrey
      Pages: 35 - 46
      Abstract: Publication date: September 2018
      Source:Automation in Construction, Volume 93
      Author(s): Roy Woodhead, Paul Stephenson, Denise Morrey
      This paper takes a longitudinal view of literature to explain the current period as disruptive technology drives an evolutionary adaptation of the construction industry in a historical socio-technological process. The authors argue the way Internet of Things (IoT) solutions are conceived as singularly focused “point solutions” undermine future opportunities. An evolutionary view is overlooked because extant literature describes technology in a particular epoch. An ecosystem perspective needs to influence IT strategy as an emerging “digital layer” transcends a smart city and continues to function long after a traditional construction project completes. We describe innovation as a succession of transformational waves in an evolutionary process that is currently manifesting as “Industry 4.0” and changing expectations for the construction industry. The paper concludes by listing emerging trends and warns existing UK construction companies must understand the transformational process they are in and learn how to adapt with a stronger drive for R&D.

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.05.004
      Issue No: Vol. 93 (2018)
  • Project selection and scheduling for phase-able projects with
           interdependencies among phases
    • Authors: Ali Shafahi; Ali Haghani
      Pages: 47 - 62
      Abstract: Publication date: September 2018
      Source:Automation in Construction, Volume 93
      Author(s): Ali Shafahi, Ali Haghani
      This research proposes a model for project selection and scheduling when some of the projects in the available pool of projects can be implemented in phases. We present a mixed integer programming (MIP) model that maximizes the Net Present Value (NPV) of future investments in situations where temporal budget limitations and reinvestment strategies exist. The MIP reveals the optimal phasing solution. It models the Interdependencies among different phases of a project and also takes the foundation/infrastructure requirements for development of future phases into consideration. To solve large-size problems, we present a solution method that initially reduces the problem size. Then, a two-step heuristic is presented that in the first step adds projects to the pool of selected projects one by one based on a favorability measure and in the second step, eliminates some phases of the chosen projects with some probability. The performance of the heuristic is illustrated through five small-size and four large-size examples. We perform sensitivity analysis by altering various parameters that affect the heuristic's performance such as different favorability measures, and different initial available budgets. The results are favorable for the preprocessing step and solution heuristic. On small-size scenarios, the heuristic can find the optimal solution from the MIP in almost all cases. Furthermore, on large-size scenarios, the heuristic finds solutions within approximately 100 s that are better than the ones found by solving the MIP given a 10,000 s time limit.

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.05.008
      Issue No: Vol. 93 (2018)
  • Automating and scaling personalized safety training using eye-tracking
    • Authors: Idris Jeelani; Kevin Han; Alex Albert
      Pages: 63 - 77
      Abstract: Publication date: September 2018
      Source:Automation in Construction, Volume 93
      Author(s): Idris Jeelani, Kevin Han, Alex Albert
      Research has shown that a large proportion of hazards remain unrecognized, which expose construction workers to unanticipated safety risks. Recent studies have also found that a strong correlation exists between viewing patterns of workers, captured using eye-tracking devices, and their hazard recognition performance. Therefore, it is important to analyze the viewing patterns of workers to gain a better understanding of their hazard recognition performance. From the training standpoint, scan paths and attention maps, generated using eye-tracking technology, can be used effectively to provide personalized and focused feedback to workers. Such feedback is used to communicate the search process deficiency to workers in order to trigger self-reflection and subsequently improve their hazard recognition performance. This paper proposes a computer vision-based method that tracks workers on a construction site and automatically locates their fixation points, collected using a wearable eye-tracker, on a 3D point cloud. This data is then used to analyze their viewing behavior and compute their attention distribution. The presented case studies validate the proposed method.
      Graphical abstract image

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.05.006
      Issue No: Vol. 93 (2018)
  • Automated tower crane planning: leveraging 4-dimensional BIM and
           rule-based checking
    • Authors: Yuanshen Ji; Fernanda Leite
      Pages: 78 - 90
      Abstract: Publication date: September 2018
      Source:Automation in Construction, Volume 93
      Author(s): Yuanshen Ji, Fernanda Leite
      Reviewing tower crane plans in the pre-construction phase is an iterative process and one that is in need of an approach that improves its effectiveness and efficiency. This study proposes a framework that integrates 4D modeling and rule-based checking for reviewing tower crane plans. A template of crane-specific rules that are based on prevailing tower crane design standards in the United States was developed. This framework is capable of automating the review process and identifying potential spatial and capacity conflicts based on design models and construction schedules. This work presents a prototype system to which crane-specific rules are applied in a rule-checking platform that uses a 4D model as input. In the validation tests, the system's effectiveness is demonstrated by its high recall rates. Efficiency is achieved through diminishing manual interventions. The proposed approach also gives rise to an automated tower crane-planning process, reducing the need for manual input. Higher efficiency allows users to review more alternatives consistently when compared with the manual approach.

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.05.003
      Issue No: Vol. 93 (2018)
  • Automated performance measurement for 3D building modeling decisions
    • Authors: Saman Yarmohammadi; Daniel Castro-Lacouture
      Pages: 91 - 111
      Abstract: Publication date: September 2018
      Source:Automation in Construction, Volume 93
      Author(s): Saman Yarmohammadi, Daniel Castro-Lacouture
      Building information modeling (BIM) is instrumental in documenting design, enhancing customer experience, and improving product functionality in capital projects. However, high-quality building models do not happen by accident, but rather because of a managed process that involves several participants from different disciplines and backgrounds. Throughout this process, the different priorities of design modelers often result in conflicts that can negatively impact project outcomes. To prevent such unwanted outcomes from occurring, the modeling process needs to be effectively managed. This effective management requires an ability to closely monitor the modeling process and correctly measure the 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 BIM tools presents a unique opportunity to retrieve granular design process data and conduct accurate performance measurements. This research improves upon previous efforts by presenting a novel application programming interface (API)-enabled approach to (a) automatically collect detailed model development data directly from BIM software packages in real-time, and (b) efficiently calculate several modeling performance measures during schematic and design development phases of building projects. These indicators can be used to properly arrange modeling teams in the quest for high-quality building models. The specific objectives of this study to examine the feasibility of a proposed automated design performance measurement framework, and to identify optimal modeling team configurations using empirical performance information. A passive data recording approach allows for the real-time capture of comprehensive user interface (UI) interaction and model element modification events. The proposed framework is implemented as an Autodesk Revit plugin. Next, an experiment is conducted to capture data using the developed Revit plugin. Experiment participants' individual production rates are estimated to establish the validity of the proposed approach to identify the optimal design team configuration. The presented approach uses the earliest due date (EDD) sequencing rule in combination with the critical path method (CPM) to calculate the maximum lateness for different design team arrangements.

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.05.011
      Issue No: Vol. 93 (2018)
  • Knowledge dynamics-integrated map as a blueprint for system development:
           Applications to safety risk management in Wuhan metro project
    • Authors: Chao Dong; Fan Wang; Heng Li; Lieyun Ding; Hanbin Luo
      Pages: 112 - 122
      Abstract: Publication date: September 2018
      Source:Automation in Construction, Volume 93
      Author(s): Chao Dong, Fan Wang, Heng Li, Lieyun Ding, Hanbin Luo
      Safety has always been a persistent problem in the construction industry, particularly for tunnel construction projects due to the inherent uncertainty in geotechnical conditions and the complexity of the tunnel construction process. Literatures and practices highlight the importance of safety knowledge to the construction safety. However, safety knowledge is not always provided in a convenient and timely manner. This paper develops a Knowledge-dynamics Integrated Map (KIM) to visualize safety knowledge flow in tunnel construction safety risk management. The KIM highlights the what, the who, and the why of knowledge flow by portraying its dynamics associated to the working processes. With the use of KIM, the safety knowledge flow barriers are identified so that knowledge flow facilitators can be designed. The KIM has been applied in Wuhan metro project as a blueprint for systematically developing effective safety knowledge management systems.

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.05.014
      Issue No: Vol. 93 (2018)
  • Cloud asset-enabled integrated IoT platform for lean prefabricated
    • Authors: Gangyan Xu; Ming Li; Chun-Hsien Chen; Yongchang Wei
      Pages: 123 - 134
      Abstract: Publication date: September 2018
      Source:Automation in Construction, Volume 93
      Author(s): Gangyan Xu, Ming Li, Chun-Hsien Chen, Yongchang Wei
      Prefabricated construction has become increasingly popular over the recent years, given its benefits including higher construction speed, lower cost, and improved quality. To facilitate the operations of prefabricated construction, various technologies have in parallel been introduced. However, due to its project-based feature and the involvement of numerous Small and Medium Enterprises (SMEs), the adoption of information technologies is insufficient and varies between SMEs, thereby hindering the improvement of the efficiency of prefabricated construction. Considering these issues and aiming at realizing lean prefabricated construction, this paper proposes an integrated cloud-based Internet of Things (IoT) platform through exploiting the concept of cloud asset. Its operation model has also been worked out to enable SMEs to adopt IoT technologies economically and flexibly. Besides, to make the platform compatible and scalable on managing diverse physical assets in different companies and scenarios, a unified cloud asset data model is proposed. Furthermore, an IoT service-sharing module is developed to support different levels of service-sharing on the platform. Finally, a real-life prefabricated construction project in Hong Kong and several lab-based LEGO construction models are adopted to verify the feasibility and effectiveness of the proposed platform.

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.05.012
      Issue No: Vol. 93 (2018)
  • Modeling space preferences for accurate occupancy prediction during the
           design phase
    • Authors: Seung Hyun Cha; Koen Steemers; Tae Wan Kim
      Pages: 135 - 147
      Abstract: Publication date: September 2018
      Source:Automation in Construction, Volume 93
      Author(s): Seung Hyun Cha, Koen Steemers, Tae Wan Kim
      The accurate prediction of occupancy during the design phase of a building helps architects to improve space efficiency by eliminating the possible under-utilization and over-crowding of space during the design use phase. However, existing models exhibit limited accuracy in occupancy prediction. A major reason for this limitation is that spatial-choice behavior is ignored or oversimplified. We therefore developed a space-preference model to explain spatial-choice behavior, with a particular focus on individual work-related activities. For this purpose, we conducted a discrete-choice experiment: 2048 observations of spatial choices were collected, and a conditional logit model was used to model space preferences. The application of the space-preference model was illustrated by two case examples, with which the merits of the model were highlighted. It was then validated in a predictive success test and a case study. The model will help architects to assess potential over-crowding and under-utilization of space according to different design options.

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.05.001
      Issue No: Vol. 93 (2018)
  • Computer vision aided inspection on falling prevention measures for
           steeplejacks in an aerial environment
    • Authors: Qi Fang; Heng Li; Xiaochun Luo; Lieyun Ding; Hanbin Luo; Chengqian Li
      Pages: 148 - 164
      Abstract: Publication date: September 2018
      Source:Automation in Construction, Volume 93
      Author(s): Qi Fang, Heng Li, Xiaochun Luo, Lieyun Ding, Hanbin Luo, Chengqian Li
      Falling from height accidents are a major cause of fatalities on construction sites. Despite a lot of research conducted on the enhancement of safety training and removal of hazardous areas, falling accidents remain a major threat for steeplejacks. According to NOISH FACE reports, 75.1% of the fall from height decedents didn't use the Personal Fall Arrest Systems (PFAS), which shows insufficient supervision of the use of Personal Protective Equipment (PPE) by steeplejacks. Few scholars consider PFAS an important measure to prevent falls and the existing studies on PPE inspections showed that they were unsuitable for the scenarios faced by steeplejacks. This paper proposes an automated inspection method to check PPEs' usage by steeplejacks who are ready for aerial work beside exterior walls. An aerial operation scenario understanding method is proposed, which makes the inspection a preventative control measure and highly robust to noise. A deep-learning based occlusion mitigation method for PPE checking is introduced. We tested the performance of our method under various conditions and the experimental results demonstrate the reliability and robustness of our method to inspect falling prevention measures for steeplejacks and can help facilitate safety supervision.

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.05.022
      Issue No: Vol. 93 (2018)
  • Proactive 2D model-based scan planning for existing buildings
    • Authors: Meida Chen; Eyuphan Koc; Zhuoya Shi; Lucio Soibelman
      Pages: 165 - 177
      Abstract: Publication date: September 2018
      Source:Automation in Construction, Volume 93
      Author(s): Meida Chen, Eyuphan Koc, Zhuoya Shi, Lucio Soibelman
      Creating a building information model (BIM) is known to be valuable during the life-cycle of a building. In most cases, a BIM of an existing building either does not exist or is out of date. For existing buildings, an as-is BIM is needed to leverage the technology towards building life-cycle objectives. To create an as-is BIM, field surveying is a necessary task in collecting current building related information. Terrestrial laser scanners have been widely accepted as field surveying instruments due to their high level of accuracy. However, laser scanning is a time-consuming and labor-intensive process. Site revisiting and reworking of the scanning process is generally unavoidable because of inappropriate data collection processes. In this context, creating a scan plan before going to a job-site can improve the data collection process. In this study, the authors have proposed a 2D proactive scan-planning framework that includes three modules: an information-gathering module, a preparation module, and a searching module. In addition, three search algorithms — a greedy best-first search algorithm, a greedy search algorithm with a backtracking process, and a simulated annealing algorithm — were compared based on 64 actual building site drawings to identify strength and limitations. The experimental results demonstrate that the greedy search algorithm with a backtracking process could be used to compute an initial scan plan and the simulated annealing algorithm could be used to further refine the initial scan plan. This paper will also introduce the results of a case study that deployed the proposed scan-planning framework. In the case study, the resulting 3D-point cloud that was generated based on the proposed framework was compared with the 3D point cloud created with data collected through a planned scanning process performed by a scan technician.

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.05.010
      Issue No: Vol. 93 (2018)
  • Utilizing IFC for shield segment assembly in underground tunneling
    • Authors: Ying Zhou; Yu Wang; Lieyun Ding; Peter E.D. Love
      Pages: 178 - 191
      Abstract: Publication date: September 2018
      Source:Automation in Construction, Volume 93
      Author(s): Ying Zhou, Yu Wang, Lieyun Ding, Peter E.D. Love
      The shield method is a common approach used for subway tunnel excavation. A critical function of the shield method is the segment assembly process. It is, therefore, imperative to have access to information to be able to manage and control the performance of segment assembly during the construction process. However, an issue that hinders the capacity to undertake these tasks during construction is the inability of existing Building Information Modeling (BIM)-related software used to design tunnels to support information exchanges during a project's execution. The Industry Foundation Class (IFC) has evolved as an open and neutral data format to support information exchanges, but they are yet to be able to accommodate the segment assembly process. Considering the absence of such a data format, this research contributes to the extant literature through extending the IFC standard by treating the segment assembly shield used in construction as an ‘object’. It also proposes a new typesetting (i.e. positioning of segments) algorithm that can be used to automatically determine constraints. Moreover, the algorithm can define the design information that is required to enact data exchanges during construction. The newly developed IFC extensions are validated by demonstrating the successful transfer from a tunnel's parametric design models to the segment assembly system.

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.05.016
      Issue No: Vol. 93 (2018)
  • Pose and trajectory control of shield tunneling machine in complicated
    • Authors: Lintao Wang; Xu Yang; Guofang Gong; Jianan Du
      Pages: 192 - 199
      Abstract: Publication date: September 2018
      Source:Automation in Construction, Volume 93
      Author(s): Lintao Wang, Xu Yang, Guofang Gong, Jianan Du
      The present study is focused on developing a method for controlling the pose and trajectory of a shield tunneling machine (STM) applied in complicated stratum. Lacking method to determine target motions of thrust cylinders and suitable electro-hydraulic control system are major restrictions for the STM to realize automatic pose control. To overcome these bottlenecks, a mathematical method for determining the target motions of thrust cylinders is proposed based on kinematic analysis of the thrust mechanism. With this method, target motions of thrust cylinders when the STM excavates along any specific curves can be obtained and used as the input signal of the pose control system. A multi-cylinder control system is proposed based on master/slave control strategy to control the length of each kinematic chain in order to adjust the pose of the thrust mechanism. Experiments are carried out to evaluate the performances of this control system. The experimental results verify that the proposed pose control system is effective in controlling the pose and trajectory of the shield machine no matter it advances along a straight or a curved tunnel axis. Considering the complex loads during the experiments, the proposed system has great potential for applying in practical tunnel construction.

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.05.020
      Issue No: Vol. 93 (2018)
  • Decision framework for optimal installation of outriggers in tall
    • Authors: Kang Zhou; Xiao-Wei Luo; Qiu-Sheng Li
      Pages: 200 - 213
      Abstract: Publication date: September 2018
      Source:Automation in Construction, Volume 93
      Author(s): Kang Zhou, Xiao-Wei Luo, Qiu-Sheng Li
      Installation sequence of outrigger system, an important structural component of high-rise buildings, is often determined simply based on engineers' experience, posing a threat to the structural safety and stability. This paper proposes a comprehensive decision framework for developing the optimal installation plan for the outrigger system, in which construction simulation and safety analysis of the overall structural system are well integrated. The proposed framework is applied to a super-tall building with a height of 600 m. First, the finite element method (FEM) model of the skyscraper used for construction simulation is validated by field measurements during Typhoon ‘Nida’. Based on the validated FEM model, the lower limits (earliest) for installing the outrigger system are obtained through the outrigger trusses' safety analysis for the service stage of the building, while the upper limits (latest) are determined through the analysis of structural stiffness and global stability for the construction stage. Thereupon, a rational plan is established for installing the outrigger system into the skyscraper, and the viability and efficiency of the proposed decision framework are examined by analyzing the construction simulation models. The outcomes of this study are expected to be of use and interest for structural engineers and researchers involved in construction management of installing outriggers into high-rise buildings, and therefore provide valuable implications for other similar projects.

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.05.017
      Issue No: Vol. 93 (2018)
  • UAV path planning method for digital terrain model reconstruction –
           A debris fan example
    • Authors: Cheng-Hsuan Yang; Meng-Han Tsai; Shih-Chung Kang; Chi-Yao Hung
      Pages: 214 - 230
      Abstract: Publication date: September 2018
      Source:Automation in Construction, Volume 93
      Author(s): Cheng-Hsuan Yang, Meng-Han Tsai, Shih-Chung Kang, Chi-Yao Hung
      This research develops an unmanned aerial vehicle (UAV) path-planning method that aims to ensure the required image overlap and optimize the flying routes when applying the UAV for digital terrain model's (DTM) reconstruction. To collect images on a terrain for image modeling, enough overlap between each collected image must be ensured. In addition, when planning the optimized flying routes for collecting images on a debris fan, the specifications of the debris fan and the limitations of the UAV should both be taken into consideration. The path planning method takes a debris fan as an example and refers to the specifications of a debris fan and the limitations of the UAV. The developed method can help the operators to ensure the image overlap through dividing the debris fan into cells by the UAV's maximum image collection distance interval. The near-optimized UAV flying paths are calculated though applying a modified ant colony optimization algorithm (ACO). The developed method is validated to be able to help operators to sufficiently use the limited UAV batteries and evaluate the efficiency of the image collection process. A site experiment was also conducted for validating the workability of the developed method. The result of the comparison shows that the path-planning method can reduce 18.5% of the image collection time. It also confirms that applying the method on an actual debris fan can guarantee the required image overlapping and generate a complete DTM without model breaking.

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.05.024
      Issue No: Vol. 93 (2018)
  • Multi-point vibration measurement and mode magnification of civil
           structures using video-based motion processing
    • Authors: Zhexiong Shang; Zhigang Shen
      Pages: 231 - 240
      Abstract: Publication date: September 2018
      Source:Automation in Construction, Volume 93
      Author(s): Zhexiong Shang, Zhigang Shen
      Image-based vibration measurement has gained increased attentions in civil and construction communities. A recent video-based motion magnification method was developed to measure and visualize small structure motions. This new approach presents a potential for low-cost vibration measurement and mode shape identification. Pilot studies using this approach on simple rigid body structures were reported. Its validity on complex outdoor structures has not been investigated. In this study, a non-contact video-based approach for multi-point vibration measurement and mode magnification is introduced. The proposed approach can output a full-field vibration map that increases the efficiency of the current structural health monitoring (SHM) practice. The multi-point approach is developed based on the local phases which also fill the gap of the existing intensity-based multi-point vibration measurement. As an extension of the phase-based motion magnification, the multi-point measurement result is then integrated with the maximum likelihood estimation (MLE) to estimate the magnified frequency bands at each identified structure mode for operational deflection shape (ODS) visualization. This proposed method was tested in both indoor and outdoor environments for validation. The results show that using the developed method, mode frequencies and mode shapes of multiple points in complex structures can be simultaneously measured. And vibrations in each mode can be visualized separately after magnification.

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.05.025
      Issue No: Vol. 93 (2018)
  • Linking radio-frequency identification to Building Information Modeling:
           Status quo, development trajectory and guidelines for practitioners
    • Authors: Fan Xue; Ke Chen; Weisheng Lu; Yuhan Niu; G.Q. Huang
      Pages: 241 - 251
      Abstract: Publication date: September 2018
      Source:Automation in Construction, Volume 93
      Author(s): Fan Xue, Ke Chen, Weisheng Lu, Yuhan Niu, G.Q. Huang
      The global construction industry has witnessed the prolific development of radio-frequency identification (RFID), building information modeling (BIM), and most recently, linkage of the two. However, comparatively little attention has been paid to understanding the status quo and development trajectory of such RFID-enabled BIM systems. In view of the proliferation of existing RFID, BIM, and information linkage, practitioners would benefit from guidelines for choosing systems so that their construction engineering and management (CEM) needs can be better met. Accordingly, the study described in this paper has two interconnected research aims: (1) to identify current patterns and development trends in RFID-enabled BIM systems; and (2) to develop guidelines for choosing appropriate solutions for different CEM scenarios. A review of 42 actual cases published in scholarly papers reveals that RFID, used to identify objects and improve real-time information visibility and traceability, is now increasingly linked to BIM as a central information platform. This study provides practitioners with five-step guidelines for linking RFID to BIM for various CEM needs. It also provides researchers with a point of departure for further exploration of approaches to enhancing the value of RFID, BIM, and the integration of one with the other.

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.05.023
      Issue No: Vol. 93 (2018)
  • Review of Unmanned Aerial System (UAS) applications in the built
           environment: Towards automated building inspection procedures using drones
    • Authors: Tarek Rakha; Alice Gorodetsky
      Pages: 252 - 264
      Abstract: Publication date: September 2018
      Source:Automation in Construction, Volume 93
      Author(s): Tarek Rakha, Alice Gorodetsky
      Unmanned Aerial Systems (UAS – a.k.a. drones) have evolved over the past decade as both advanced military technology and off-the-shelf consumer devices. There is a gradual shift towards public use of drones, which presents opportunities for effective remote procedures that can disrupt a variety of built environment disciplines. UAS equipment with remote sensing gear present an opportunity for analysis and inspection of existing building stocks, where architects, engineers, building energy auditors as well as owners can document building performance, visualize heat transfer using infrared imaging and create digital models using 3D photogrammetry. This paper presents a comprehensive review of various literature that addresses this topic, followed by the identification of a standard procedures for operating a UAS for energy audit missions. The presented framework is then tested on the Syracuse University campus site based on the literature review to showcase: 1) pre-flight inspection procedure parameters and methodologies; 2) during-flight visually identified areas of thermal anomalies using a UAS equipped with Infrared (IR) cameras and; 3) 3D CAD modeling developed through data gathered using UAS. A discussion of the findings suggests refining procedure accuracy through further empirical experimentation, as well as study replication, as a step towards standardizing the automation of building envelope inspection.
      Graphical abstract image

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.05.002
      Issue No: Vol. 93 (2018)
  • Modeling water flow on Façade
    • Authors: Chul Woong Park; Jaeman Park; Naree Kim; Youngchul Kim
      Pages: 265 - 279
      Abstract: Publication date: September 2018
      Source:Automation in Construction, Volume 93
      Author(s): Chul Woong Park, Jaeman Park, Naree Kim, Youngchul Kim
      This study aims to develop a novel method by which visually to simulate water flow paths on building façades. Rainwater runoff affects the designs of façades in terms of safety and aesthetics because runoff leaves dirt and stains on an aesthetic façade. The first step is to review flow simulation algorithms and identify its limitations in fluid visualization research on flow path simulations. The second step is to review an existing CFD program to identify its limitations, and then establish the goals of the newly proposed method. The third step is to identify the properties and behaviors of water on a surface, including basic fluid mechanics to establish the mechanical relationship between the water and the façade material. The fourth step involves an experiment with water flows to reveal their characteristics based on the literature. The fifth step is to develop an algorithm which visually simulates water flows on a building façade. As a result, “Rainflow01” and “Rainflow02” are developed based on the open-source Grasshopper component “Drainage Polysurface” and Rhino. Rainflow01 and Rainflow02, which work based on the angle variation and critical sliding angle of the water path, present an innovative approach for predictions of water paths over a façade.

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.05.021
      Issue No: Vol. 93 (2018)
  • A triangular mesh generator over free-form surfaces for architectural
    • Authors: Qisheng Wang; Boqing Gao; Tierui Li; Hui Wu; Jianzhong Kan; Bo Hu
      Pages: 280 - 292
      Abstract: Publication date: September 2018
      Source:Automation in Construction, Volume 93
      Author(s): Qisheng Wang, Boqing Gao, Tierui Li, Hui Wu, Jianzhong Kan, Bo Hu
      Computer-aided design software enables the rapid conceptual creation of a curved surface geometry, whereas it is not a convenient task for engineers to create a discrete grid structure on a complex surface that meets architectural and aesthetic requirements. This emphasizes the importance of grid generating tools and methods. A new triangular mesh generator for the free-form curved surfaces of architectural structures is developed based on the mapping truss-like method. The mapping truss-like method builds a bidirectional mapping mechanism between 3D domain and 2D domain, generates meshes in 2D domain using constrained Delaunay triangulation, and relaxes the mesh iteratively with the planar mesh regarded as a plane truss structure. This generator can generate uniform meshes and adaptive meshes in harmony with the surface features by a relative edge size function for various free-form surfaces. The directional trend of the mesh is adjustable by rotating the initial node placement, and selected points can be fixed to mesh multi-surfaces. In addition, methods are proposed to counteract mapping distortion by adjusting the mesh-generating algorithm locally. Examples illustrate that the generator has wide adaptability, high automation and comprehensive control of resulting meshes. Thus, this paper presents a useful design tool for free-form surfaces of grid structures.

      PubDate: 2018-06-01T08:04:24Z
      DOI: 10.1016/j.autcon.2018.05.018
      Issue No: Vol. 93 (2018)
  • Evaluating performance of daylight-linked building controls during
           preliminary design
    • Authors: Laura Bellia; Francesca Fragliasso
      Pages: 293 - 314
      Abstract: Publication date: September 2018
      Source:Automation in Construction, Volume 93
      Author(s): Laura Bellia, Francesca Fragliasso
      Thanks to the spread of new light sources and of smart dynamic control systems, automation sector has begun to play a fundamental role in lighting design. In this regard, daylight-linked control systems (DLCSs) represent a particularly interesting research field, since they offer great opportunities both in obtaining energy savings and in improving visual comfort conditions. However, their use is not so spread, because of the difficulties in predicting their functioning during the design process and in evaluating their effective energetic and economic advantages: available technical solutions are so many that design choices can be very hard for specialists. To overcome these obstacles, a precise assessment methodology is needed. Given these premises, the goal of the paper is to show the effectiveness of new performance parameters (Daylight Integration Adequacy, Percentage Intrinsic Light Excess, Percentage Light Waste and Percentage Light Deficit) in order to evaluate DLCs performance and to underline which factors mostly affect their functioning.

      PubDate: 2018-06-01T08:04:24Z
      DOI: 10.1016/j.autcon.2018.05.026
      Issue No: Vol. 93 (2018)
  • EEG-based workers' stress recognition at construction sites
    • Authors: Houtan Jebelli; Sungjoo Hwang; SangHyun Lee
      Pages: 315 - 324
      Abstract: Publication date: September 2018
      Source:Automation in Construction, Volume 93
      Author(s): Houtan Jebelli, Sungjoo Hwang, SangHyun Lee
      Taking into account that many construction workers suffer from excessive stress that adversely impacts their safety and health, early recognition of stress is an essential step toward stress management. In this regard, an electroencephalogram (EEG) has been widely applied to assess individuals' stress by analyzing brain waves in the clinical domains. With recent advancements in wearable EEG devices, EEG's ability can be extended to field workers, particularly by non-invasively assessing construction workers' stress. This study proposes a procedure to automatically recognize workers' stress in construction sites using EEG signals. Specifically, the authors collected construction field workers' EEG signals and preprocessed them to capture high-quality signals. Workers' salivary cortisol, a stress hormone, was also collected to label low or high-stress levels when they work at sites. Time and frequency domain features from EEG signals were calculated using fixed and sliding windowing approaches. Finally, the authors applied several supervised learning algorithms to recognize workers' stress while they are working at sites. The results showed that the fixed windowing approach and the Gaussian Support Vector Machine (SVM) yielded the highest classification accuracy of 80.32%, which is very promising given the similar accuracy of stress recognition in clinical domains where extricate and wired EEG devices were used and the subjects engage in minimal body movement. The results demonstrate that the proposed field stress recognition procedure can be used for the early detection of workers' stress, which can contribute to improving workers' safety, health, wellbeing, and productivity.

      PubDate: 2018-06-01T08:04:24Z
      DOI: 10.1016/j.autcon.2018.05.027
      Issue No: Vol. 93 (2018)
  • Simulating the dynamics of social agents and information flows in
           BIM-based design
    • Authors: Malak Al Hattab; Farook Hamzeh
      Pages: 1 - 22
      Abstract: Publication date: August 2018
      Source:Automation in Construction, Volume 92
      Author(s): Malak Al Hattab, Farook Hamzeh
      Design work entails collaboration that increasingly requires dynamic and complex information exchanges among multi-disciplinary teams. Although Building Information Modelling (BIM) is frequently advocated as a solution to myriad issues, poor workflow still plagues the design process resulting in rework, delays, cost overruns, and errors which are detrimental to the project. This can be attributed to a lack of consideration of inherent problems in communication and behaviours of design teams when adopting BIM. This study aims to examine whether BIM adoption can improve design workflow by concurrently considering social interaction mechanisms and information flow dynamics. Accordingly, the research method adopts agent-based modelling and social network analysis to analyse and measure information flow in BIM-based design. Cross-analyses of results from a case study indicate that using BIM as production tool does not explicitly improve workflow or achieve the full potential unless fundamental conditions are present, namely collaboration and changes in traditional mindsets.

      PubDate: 2018-04-15T13:55:10Z
      DOI: 10.1016/j.autcon.2018.03.024
      Issue No: Vol. 92 (2018)
  • Construction quality management based on a collaborative system using BIM
           and indoor positioning
    • Authors: Zhiliang Ma; Shiyao Cai; Na Mao; Qiliang Yang; Junguo Feng; Pengyi Wang
      Pages: 35 - 45
      Abstract: Publication date: August 2018
      Source:Automation in Construction, Volume 92
      Author(s): Zhiliang Ma, Shiyao Cai, Na Mao, Qiliang Yang, Junguo Feng, Pengyi Wang
      Quality is one of the most vital aspects of a construction project, and inspection is the most important task in construction quality management. Despite the application of advanced information technologies, the omission of check items and in-efficiency of entering inspection results from paper-based inspection records into computers and collaboration among the construction stakeholders remain to be major problems. This paper proposes an approach to make the process of construction quality management more effective and collaborative by developing a system based on the integrated application of building information modeling (BIM) and indoor positioning technology. First, the system requirements of the collaboration platform are analyzed based on the standards for construction quality inspection in China, the technologies to be used for its implementation are justified, and a process model for the collaboration of multiple stakeholders is established. Next, the system architecture is developed, and the algorithm for generating inspection tasks and the technique for integrating with indoor positioning technology are formulated. Finally, the implementation of a prototype system is presented, and the effectiveness and efficiency of the approach for construction quality management are verified by using the system in an on-site test.

      PubDate: 2018-04-15T13:55:10Z
      DOI: 10.1016/j.autcon.2018.03.027
      Issue No: Vol. 92 (2018)
  • A multi-objective probabilistic-based method to determine optimum
           allocation of time buffer in construction schedules
    • Authors: Mani Poshdar; Vicente A. González; Gary M. Raftery; Francisco Orozco; Guillermo G. Cabrera-Guerrero
      Pages: 46 - 58
      Abstract: Publication date: August 2018
      Source:Automation in Construction, Volume 92
      Author(s): Mani Poshdar, Vicente A. González, Gary M. Raftery, Francisco Orozco, Guillermo G. Cabrera-Guerrero
      The use of buffers as a production strategy entails establishing a balance between theory and practice. In the complex environment of construction projects, this balance establishment requires an optimization process. It involves multiple criteria necessary to project success. So far, the heuristics and analytics developed, either fail to provide a clear logic to solve the multi-objective problem or revolve only around the mathematical solutions. This research proposes a Multi-objective Probabilistic-Based Buffer Allocation method (MPBAL) based on a goal-seeking optimization approach that uses a visual presentation of the mathematical optimization results to involve the preference of the project decision-makers in the final solution. MPBAL was tested against the records of a bridge construction project. The results were compared to the findings from a numerical analysis obtained by an extensive Monte Carlo study. The comparison indicated the high quality of MPBAL optimization analysis, while it utilizes an approximate combinatorial analytic method to avoid the errors typical of the numerical analysis.

      PubDate: 2018-04-15T13:55:10Z
      DOI: 10.1016/j.autcon.2018.03.025
      Issue No: Vol. 92 (2018)
  • Utilization analysis methodology for fleet telematics of heavy earthwork
    • Authors: Seung Soo Lee; Sang-il Park; Jongwon Seo
      Pages: 59 - 67
      Abstract: Publication date: August 2018
      Source:Automation in Construction, Volume 92
      Author(s): Seung Soo Lee, Sang-il Park, Jongwon Seo
      Fleet telematics aims to comprehensively control equipment groups through location tracking, maintenance control, and productivity monitoring of individual equipment based on real-time location and status transmitted to fleet control center from the equipment. Logistics industry, automobile industry, as well as transportation (land, sea, and air) industry are actively applying fleet telematics in order to efficiently and safely operate multiple groups of equipment. Earthwork, a basic operation for any type of construction, depends heavily on equipment. The productivity and safety of earthwork equipment are decided by effective management of the equipment. Therefore, fleet telematics can also improve the earthwork operation as well. The goal of this research is to develop a GPS only-based fleet telematics system for heavy earthwork equipment which can analyze time log information of each equipment using GPS location data without utilizing any other on-board sensors and CAN bus data. The earthwork site (loading and dumping area) and moving route, hazardous areas of the project are all visualized on a map via geo-fencing technology considering the characteristics of earthwork operation. Lastly, algorithms to analyze the utilization time of earthwork equipment using GPS location information are designed and their reliability are verified through field tests.

      PubDate: 2018-04-15T13:55:10Z
      DOI: 10.1016/j.autcon.2018.02.035
      Issue No: Vol. 92 (2018)
  • Image-driven fuzzy-based system to construct as-is IFC BIM objects
    • Authors: Qiuchen Lu; Sanghoon Lee; Long Chen
      Pages: 68 - 87
      Abstract: Publication date: August 2018
      Source:Automation in Construction, Volume 92
      Author(s): Qiuchen Lu, Sanghoon Lee, Long Chen
      Various new data capturing technologies and object recognition systems have been developed to construct as-is building information models (BIMs) for operations and maintenance (O&M) management of existing buildings. However, a crucial challenge occurs in existing systems when semantic building information is captured under uncontrolled environmental conditions, especially in complex environments with poorly textured features (e.g., no obvious characteristics, edges, points, or lines). This study presents a semiautomatic image-driven system to recognize building objects and their materials and reviews the state-of-the-art object and material recognition methods and systems. A novel semiautomatic image-driven system was developed according to the new neuro-fuzzy framework for recognition of building objects and based on material classification procedures supported by an extensible texture library constructed to recognize their surface materials. More than 600 images were collected for the training process to develop this system, and more than 200 images were used for system verification. The results of the verification experiments show that the developed system can successfully recognize five kinds of building objects (i.e., beams, columns, windows, doors, and walls) and their corresponding surface materials from a single image taken by a handheld digital camera. Furthermore, the recognized building objects are automatically represented in industry foundation classes (IFC), a standard data schema for BIMs. The developed system is highly accurate, robust, and time-efficient for constructing as-is BIM objects in IFC and can help both BIM researchers and practitioners to develop information-rich BIMs in the O&M phase.

      PubDate: 2018-04-15T13:55:10Z
      DOI: 10.1016/j.autcon.2018.03.034
      Issue No: Vol. 92 (2018)
  • Robotic data collection and simulation for evaluation of building retrofit
    • Authors: Bharadwaj R.K. Mantha; Carol C. Menassa; Vineet R. Kamat
      Pages: 88 - 102
      Abstract: Publication date: August 2018
      Source:Automation in Construction, Volume 92
      Author(s): Bharadwaj R.K. Mantha, Carol C. Menassa, Vineet R. Kamat
      Building engineers need access to real-time data to make retrofit decisions or improve the energy performance of the building occupants. Such data is typically gathered with the help of fixed wired and/or wireless sensors. Such a process consumes a significant amount of time, effort, and financial resources, particularly in existing buildings which do not have a Building Automation Systems (BAS) installed. This paper introduces a framework that uses autonomous mobile indoor robots for gathering actionable building information in real-time, and discusses how this information can be further utilized for various analyses and critical decision-making. The navigation and drift correction algorithms developed for autonomous robot operation are described in detail. Experimental results demonstrate the feasibility and applicability of the proposed method in large areas using only a sparse set of sensors mounted on mobile indoor robots. This research also developed a generic framework for making informed retrofit decisions with the help of robot collected data. A case study is performed to demonstrate the informed retrofit decision making process with the help of temperature data collected by a robot and subsequently used in an EnergyPlus simulation. Simulated annual energy savings of 3% were obtained by slightly modifying the R-values (20% to 45% improvement) of one of the external wall assemblies. These savings are expected to be larger if whole building retrofit and upgrade of material is performed. Thus, the proposed framework offers promise in improving the energy efficiency by extending the approach to other combinations of building materials (e.g. doors and windows).

      PubDate: 2018-04-15T13:55:10Z
      DOI: 10.1016/j.autcon.2018.03.026
      Issue No: Vol. 92 (2018)
  • Building information modeling as a risk transformer: An evolutionary
           insight into the project uncertainty
    • Authors: Zubair Ahmad; Muhammad Jamaluddin Thaheem; Ahsen Maqsoom
      Pages: 103 - 119
      Abstract: Publication date: August 2018
      Source:Automation in Construction, Volume 92
      Author(s): Zubair Ahmad, Muhammad Jamaluddin Thaheem, Ahsen Maqsoom
      Building information modeling (BIM) is a promising technology for the construction sector, as it addresses multiple risks, supports decision-making and enhances value. However, its technological and contractual novelties introduce some new risks. To observe the BIM-driven risk transformation, this paper performs a thorough analysis involving international experts and practitioners. Data is collected in the form of open-ended interviews and typeset questionnaire along with case studies of running projects. Results reveal that BIM eliminates a majority of significant risks. Further, the findings fuel a new research problem; the lack of a dedicated BIM plugin for risk management. Responding to it, a theoretical framework is developed to automate the risk management process and improve overall project management practice. It is concluded that construction projects can greatly benefit from an automated risk management system and investment in developing a dedicated plugin is recommended, ensuring an effective penetration of BIM in the construction industry.

      PubDate: 2018-04-15T13:55:10Z
      DOI: 10.1016/j.autcon.2018.03.032
      Issue No: Vol. 92 (2018)
  • Mathematical model to optimally solve the lift planning problem in
           high-rise construction projects
    • Authors: Alireza Jalali Yazdi; Mojtaba Maghrebi; Jafar Bolouri Bazaz
      Pages: 120 - 132
      Abstract: Publication date: August 2018
      Source:Automation in Construction, Volume 92
      Author(s): Alireza Jalali Yazdi, Mojtaba Maghrebi, Jafar Bolouri Bazaz
      The availability of resources such as workforce and materials at each level of a high-rise construction project just before the commencement of building tasks is a crucial issue that might have direct impacts on project progress. To avoid delays caused by lack of human resources and construction materials, a construction management team always tries to find a better way to facilitate supply chain process specifically for construction projects facing a significant number of simultaneous and repetitive tasks. The other challenge in a high-rise construction project is vertical transportation that requires special machinery e.g. cranes or lifts, and also, maximizing their utilities. In this paper, it is tried to automate vertical transportation planning process in high-rise construction projects by introducing a platform that handles the entire lifting process. This platform considers (i) tasks attributes (e.g. required resources, location and commencement time) from the project schedule, (ii) lifting system specifications (e.g. travel speed, weight, and volume capacity) and (iii) project geometrics (e.g. current height of the project). In details, the introduced platform provides an optimized daily delivery plan by developing a Mixed-Integer Programming (MIP) model that covers workforce and construction materials. In this paper, the proposed platform is also tested using field data obtained from a 34-story construction project in Mashhad, Iran. The model could find a solution with 0% optimality gap in approximately 1 h, which is an acceptable amount of computational cost for the problem. The results show how the introduced platform can assist the construction management team to efficiently handle the supply process within stories while avoiding delays caused by a lack of resources required for each task.
      Graphical abstract image

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.03.029
      Issue No: Vol. 92 (2018)
  • Assessing the energy and daylighting impacts of human behavior with window
           shades, a life-cycle comparison of manual and automated blinds
    • Authors: Amir Nezamdoost; Kevin Van Den Wymelenberg; Alen Mahic
      Pages: 133 - 150
      Abstract: Publication date: August 2018
      Source:Automation in Construction, Volume 92
      Author(s): Amir Nezamdoost, Kevin Van Den Wymelenberg, Alen Mahic
      Manual and automated blind controls are typically not included in energy and daylight simulation in part because there is no consensus in the research or practice communities about the way users operate manual blinds or override automated blinds. In order for blind use patterns to become part of energy and daylight simulation best practices, the range of annual energy and daylighting impacts associated with blind use must be understood. This paper addresses these aspects by comparing four leading candidates of manually-controlled blinds plus two automated blind control algorithms using a high-rise office building located in Boise, ID. This study revealed that all four current “manual” blind use algorithm choices perform relatively similarly to automated systems, and surprisingly sometimes even more efficiently. LM-83 currently has the lowest average occlusion during regularly occupied hours, followed by Lightswitch-2002, while Blindswith-A and -B have the highest average occlusion. The IES-recommended manual blind algorithm resulted even in lower average blind occlusion and lighting energy consumption than automated systems. Finally, life-cycle cost analysis was calculated. The results show that the cost savings from interior automated shading system are substantial over a 30-year time horizon, when compared with common passive manual blinds ($25 versus $7.6 Net Present Value per SF glazing area).

      PubDate: 2018-04-15T13:55:10Z
      DOI: 10.1016/j.autcon.2018.03.033
      Issue No: Vol. 92 (2018)
  • Enumerating generic rectangular floor plans
    • Authors: Krishnendra Shekhawat
      Pages: 151 - 165
      Abstract: Publication date: August 2018
      Source:Automation in Construction, Volume 92
      Author(s): Krishnendra Shekhawat
      A rectangular floor plan (RFP) is a floor plan in which plan's boundary and each room is a rectangle. The problem is to construct a RFP for the given adjacency requirements, if it exists. In this paper, we aim to present a generic solution to the above problem by enumerating a set of RFP that topologically contain all possible RFP. This set of RFP is called generic rectangular floor plans (GRFP). Furthermore, the construction of GRFP leads us to the necessary condition for the existence of a RFP corresponding to a given graph.

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.03.037
      Issue No: Vol. 92 (2018)
  • Virtual outdoor air flow meter for an existing HVAC system in heating mode
    • Authors: Nunzio Cotrufo; Radu Zmeureanu
      Pages: 166 - 172
      Abstract: Publication date: August 2018
      Source:Automation in Construction, Volume 92
      Author(s): Nunzio Cotrufo, Radu Zmeureanu
      Measurements from the operation of Heating, Ventilation and Air conditioning (HVAC) system are collected by Building Automation System (BAS) mostly for control purpose. In many air handling units (AHUs) the airflow meter is not installed on the outdoor air stream to reduce the initial costs. To provide such a missing information needed for the ongoing commissioning of HVAC system, a virtual flow meter (VFM) should be implemented in the BAS. This paper presents VFMs for the heating season when the heat recovery coils are used. Two models are presented which predict the outdoor air ratio (factor α), in the absence of such an air flow meter, by using BAS trend data. Two energy balance equations, one for the air mixing box and another for the heat recovery coils, are coupled. The results from a case study building show that the two models predict the daily average outdoor air ratio of 0.89 and 0.87, respectively, compared with the reference daily average ratio of 0.86.

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.03.036
      Issue No: Vol. 92 (2018)
  • A pedestrian tracking algorithm using grid-based indoor model
    • Authors: Weilin Xu; Liu Liu; Sisi Zlatanova; Wouter Penard; Qing Xiong
      Pages: 173 - 187
      Abstract: Publication date: August 2018
      Source:Automation in Construction, Volume 92
      Author(s): Weilin Xu, Liu Liu, Sisi Zlatanova, Wouter Penard, Qing Xiong
      Pedestrian tracking is widely required by location-based services, e.g. indoor navigation, mobile advertising, and guidance for emergency response, etc. But indoor localization and tracking are still challenging due to the complexity of indoor environments and low positioning accuracy or/and precision. This paper presents an indoor pedestrian tracking approach that utilizes indoor environment constraints in the form of a grid-based indoor model to improve the localization of a WiFi-based system. The indoor space is subdivided into grid cells with a specific size and corresponding semantics. The algorithm recursively computes the location probability over these cells based on the indoor model and magnetometer measurements on a mobile phone. Our experiments prove that the proposed tracking approach can compensate for tracking errors such as improper locations, wrong headings and jumps between consequent locations, which significantly enhance the tracking performance.

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.03.031
      Issue No: Vol. 92 (2018)
  • Analyzing context and productivity of tunnel earthmoving processes using
           imaging and simulation
    • Authors: Hongjo Kim; Seongdeok Bang; Hoyoung Jeong; Youngjib Ham; Hyoungkwan Kim
      Pages: 188 - 198
      Abstract: Publication date: August 2018
      Source:Automation in Construction, Volume 92
      Author(s): Hongjo Kim, Seongdeok Bang, Hoyoung Jeong, Youngjib Ham, Hyoungkwan Kim
      This study presents an integrated method of construction-process simulation and vision-based context reasoning for productivity analysis of an earthmoving process in a tunnel. Convolutional networks are used to detect construction equipment in the tunnel CCTV video and the context of the earthmoving process is inferred by the context reasoning process. The construction equipment detection model exhibited enhanced performance, with a mean average precision of 99.09%, and the error rate of the estimated context information was only 1.6% of the actual earthmoving context measured by a human. The estimated context information was used as an input for the WebCYCLONE simulation to generate a productivity and cost analysis report. Sensitivity analysis regarding construction equipment provided a new equipment allocation plan that could reduce the cost of the current earthmoving process by 12.25%.
      Graphical abstract image

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.04.002
      Issue No: Vol. 92 (2018)
  • Stability analysis of leaning historic masonry structures
    • Authors: Antonio Maria D'Altri; Gabriele Milani; Stefano de Miranda; Giovanni Castellazzi; Vasilis Sarhosis
      Pages: 199 - 213
      Abstract: Publication date: August 2018
      Source:Automation in Construction, Volume 92
      Author(s): Antonio Maria D'Altri, Gabriele Milani, Stefano de Miranda, Giovanni Castellazzi, Vasilis Sarhosis

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.04.003
      Issue No: Vol. 92 (2018)
  • A rule-based methodology to extract building model views
    • Authors: Tarcisio Mendes de Farias; Ana Roxin; Christophe Nicolle
      Pages: 214 - 229
      Abstract: Publication date: August 2018
      Source:Automation in Construction, Volume 92
      Author(s): Tarcisio Mendes de Farias, Ana Roxin, Christophe Nicolle
      In this paper, we present a novel approach called IfcView that relies on Semantic Web technologies for creating building views. To do so, we consider an ifcOWL ontology proposed by buildingSMART. The ifcOWL is an Industry Foundation Classes (IFC) based ontology. By combining the ifcOWL ontology with logical rules (expressed in Semantic Web Rule Language, SWRL), we demonstrate through several case studies that our approach can perform a more intuitive and flexible extraction of building views when compared to the Model View Definition (MVD) approach. This is because our rule-based approach dynamically creates sub-graphs (i.e. views) by specifying the IFC elements to extract as Globally Unique Identifiers (GUID), relationships or entities. Another benefit of our approach is the fact that it simplifies the maintenance and definition of building views. Once our rule-based system extracts such a building view (i.e. sub-graph), this view can be exported by using STEP (STandard for the Exchange of Product) or Turtle (a Resource Description Framework (RDF) syntax) formats.

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.03.035
      Issue No: Vol. 92 (2018)
  • Socioeconomic impact assessment of highly dense-urban construction
    • Authors: Amir Ibrahim; Omar El-Anwar; Mohamed Marzouk
      Pages: 230 - 241
      Abstract: Publication date: August 2018
      Source:Automation in Construction, Volume 92
      Author(s): Amir Ibrahim, Omar El-Anwar, Mohamed Marzouk
      Dense-urban construction is reported to affect the social and economic welfare of surrounding residents and local businesses in various ways. However, research studies and practical methodologies aimed at assessing to what extent the choice of a construction plan that reduces such effect are very limited. The objective of this paper is to present the development of an automated assessment methodology to fill this research gap. To this end, two formulations are presented; one based on multi-attributed utility functions and the other based on monetary compensations for disruptions caused by construction operations. Both formulations assess the impacts of construction plans on (1) increased travel distance; (2) residents' relocation; (3) business loss; (4) business closure; and (5) noise inconvenience. The proposed automated methodology is implemented in five sequential phases and utilizes Geographical Information Systems (GIS) and Visual Basic Application (VBA). Using the proposed implementation, the two alternative formulations are applied to an infrastructure upgrading project in Cairo, Egypt that had five possible construction scenarios. While the two formulations resulted in the same preference order for the five scenarios, they exhibited different performance in terms of their (1) assessment relative values; (2) required input data and robustness; (3) ease of results interpretation; and (4) comprehensiveness and scalability. The developed framework shows promising results in terms of identifying and sorting the major root causes of the socioeconomic disruptions caused by dense urban construction. Results show that using the proposed methodology informs decision-making and planning at the early stages of a project, which in turn helps to reduce cost overruns and schedule delays.

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.04.001
      Issue No: Vol. 92 (2018)
  • Multi-disciplinary and multi-objective optimization problem re-formulation
           in computational design exploration: A case of conceptual sports building
    • Authors: Ding Yang; Shibo Ren; Michela Turrin; Sevil Sariyildiz; Yimin Sun
      Pages: 242 - 269
      Abstract: Publication date: August 2018
      Source:Automation in Construction, Volume 92
      Author(s): Ding Yang, Shibo Ren, Michela Turrin, Sevil Sariyildiz, Yimin Sun
      The benefits of applying multi-objective optimization (MOO) in building design have been increasingly recognized in recent decades. The existing or traditional computational design optimization (CDO) approaches mostly focus on optimization problem solving (OPS), as they often conduct optimizations directly by assuming the optimization problems in question are good enough. In contrast, the computational design exploration (CDE) approaches defined in this research mainly focus on optimization problem formulation (OPF), which are considered more essential and aim to achieve or ensure appropriate optimization problems before conducting optimizations. However, the application of the CDE is very limited especially in conceptual architectural design. The necessity of re-formulating original optimization problems and its potential impacts on optimization results are often overlooked or not emphasized enough. This paper proposes a new CDE approach that highlights the knowledge-supported re-formulation of a changeable initial optimization problem. It improves upon the traditional CDO approach by introducing a changeable initial OPF and inserting a CDE module. The changeable initial OPF allows expanding the dimensionality of an objective space and design space being investigated, and the CDE module can re-formulate the changeable optimization problem using the information and knowledge extracted from statistical analyses. To facilitate designers in achieving the proposed approach, an improved computational platform is used which combines parametric modeling software (including simulation plug-ins) and design optimization software. Assisted by the platform, the proposed approach is applied to the conceptual design of an indoor sports building that considers multi-disciplinary performance criteria (including architecture-, climate- and structure-related criteria) and a wide range of geometric variations. Through the case study, this paper demonstrates the use of the proposed approach, verifies its benefits over the traditional method, and unveils the factors that may affect the behaviour of the proposed approach. Besides, it also shows the suitability of the computational platform used.

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.03.023
      Issue No: Vol. 92 (2018)
  • Parametric and Generative Design techniques in mass-production
           environments as effective enablers of Industry 4.0 approaches in the
           Building Industry
    • Authors: Gabriele Pasetti Monizza; Cristina Bendetti; Dominik T. Matt
      Pages: 270 - 285
      Abstract: Publication date: August 2018
      Source:Automation in Construction, Volume 92
      Author(s): Gabriele Pasetti Monizza, Cristina Bendetti, Dominik T. Matt
      While the manufacturing industry in Europe is looking at Industry 4.0 approaches and technologies to maintain the current competitive advantage, on the other hand, in the building industry (BI) they may push an improvement of the overall productivity also. This paper presents a research activity, which has aimed at investigating potentials and criticisms of Parametric and Generative Design techniques in mass-production environments of the BI though a pilot-case-study analysis in Glued-Laminated-Timber (GLT) industry. Starting from programming a parametric algorithm for GLT engineering, the research has measured manufacturing effectiveness and manufacturing efficiency through a Value-Stream Map of an ordinary supply-chain system of GLT. Considering all the limits of referring to a single case study, results highlight improvements both in manufacturing effectiveness and manufacturing efficiency; but limitations have to be considered as well, due to the complete absence of Industry 4.0 approaches and technologies in an ordinary supply-chain system of GLT.

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.02.027
      Issue No: Vol. 92 (2018)
  • Review of hybrid electric systems for construction machinery
    • Authors: Xiangyu He; Ying Jiang
      Pages: 286 - 296
      Abstract: Publication date: August 2018
      Source:Automation in Construction, Volume 92
      Author(s): Xiangyu He, Ying Jiang
      A large amount of construction machinery results in an enormous waste of energy and is a serious source of air pollution. Increasing fuel efficiency or using cleaner energy has become the most fundamental methods to solve this problem. First, this paper briefly introduces hybrid electric system (HES) structures. Second, HES for several types of construction machinery are comprehensively discussed and compared. Third, energy-saving control strategies for construction machinery are analysed in detail. Finally, the prospects and challenges of HES research for construction machinery are presented.
      Graphical abstract image

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.04.005
      Issue No: Vol. 92 (2018)
  • Productivity of digital fabrication in construction: Cost and time
           analysis of a robotically built wall
    • Authors: Borja García de Soto; Isolda Agustí-Juan; Jens Hunhevicz; Samuel Joss; Konrad Graser; Guillaume Habert; Bryan T. Adey
      Pages: 297 - 311
      Abstract: Publication date: August 2018
      Source:Automation in Construction, Volume 92
      Author(s): Borja García de Soto, Isolda Agustí-Juan, Jens Hunhevicz, Samuel Joss, Konrad Graser, Guillaume Habert, Bryan T. Adey
      Although automation has been actively and successfully used in different industries since the 1970s, its application to the construction industry is still rare or not fully exploited. In order to help provide the construction industry with an additional incentive to adopt more automation, an investigation was undertaken to assess the effects of digital fabrication (dfab) on productivity by analyzing the cost and time required for the construction of a robotically-fabricated complex concrete wall onsite. After defining the different tasks for the conventional and robotically fabricated concrete wall, data was collected from different sources and used in a simulation to describe the distribution of time and cost for the different construction scenarios. In the example, it was found that productivity is higher when the robotic construction method is used for complex walls, indicating that it is possible to obtain significant economic benefit from the use of additive dfab to construct complex structures. Further research is required to assess the social impacts of using dfab.

      PubDate: 2018-05-29T07:52:27Z
      DOI: 10.1016/j.autcon.2018.04.004
      Issue No: Vol. 92 (2018)
School of Mathematical and Computer Sciences
Heriot-Watt University
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