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COMPUTER SCIENCE (1196 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: 22)
ACM Journal on Computing and Cultural Heritage     Hybrid Journal   (Followers: 8)
ACM Journal on Emerging Technologies in Computing Systems     Hybrid Journal   (Followers: 11)
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: 14)
ACM Transactions on Computing Education (TOCE)     Hybrid Journal   (Followers: 5)
ACM Transactions on Design Automation of Electronic Systems (TODAES)     Hybrid Journal   (Followers: 3)
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: 7)
ACM Transactions on Speech and Language Processing (TSLP)     Hybrid Journal   (Followers: 8)
ACM Transactions on Storage     Hybrid Journal  
ACS Applied Materials & Interfaces     Full-text available via subscription   (Followers: 27)
Acta Automatica Sinica     Full-text available via subscription   (Followers: 2)
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: 9)
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: 18)
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: 23)
Advances in Human-Computer Interaction     Open Access   (Followers: 19)
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: 43)
Advances in Science and Research (ASR)     Open Access   (Followers: 4)
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: 6)
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: 5)
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: 3)
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: 13)
Applied Categorical Structures     Hybrid Journal   (Followers: 2)
Applied Clinical Informatics     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: 130)
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: 53)
Big Data and Cognitive Computing     Open Access   (Followers: 2)
Biodiversity Information Science and Standards     Open Access  
Bioinformatics     Hybrid Journal   (Followers: 281)
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: 19)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 35)
Briefings in Bioinformatics     Hybrid Journal   (Followers: 43)
British Journal of Educational Technology     Hybrid Journal   (Followers: 142)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 10)
c't Magazin fuer Computertechnik     Full-text available via subscription   (Followers: 1)
CALCOLO     Hybrid Journal  
Calphad     Hybrid Journal  
Canadian Journal of Electrical and Computer Engineering     Full-text available via subscription   (Followers: 14)
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: 2)
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: 20)
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  
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: 15)
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     Hybrid Journal   (Followers: 6)
Computer Applications in Engineering Education     Hybrid Journal   (Followers: 8)
Computer Communications     Hybrid Journal   (Followers: 10)
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)
Computer Music Journal     Hybrid Journal   (Followers: 19)

        1 2 3 4 5 6 | Last

Journal Cover Automation in Construction
  [SJR: 1.571]   [H-I: 65]   [6 followers]  Follow
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 0926-5805
   Published by Elsevier Homepage  [3175 journals]
  • Ontology- and freeware-based platform for rapid development of BIM
           applications with reasoning support
    • Authors: Zhiliang Ma; Zhe Liu
      Pages: 1 - 8
      Abstract: Publication date: June 2018
      Source:Automation in Construction, Volume 90
      Author(s): Zhiliang Ma, Zhe Liu
      In the Architecture, Engineering and Construction (AEC) area, a prominent tendency is to use Building Information Modeling (BIM) data to perform analyses and calculations based on specified rules in regulations or standards so that BIM applications with reasoning support (BIM-R applications) are necessary. The current method is to develop BIM-R applications separately and represent the rules by coding or using proprietary formats, which has the problems of cost and efficiency. To solve these problems, a new method is proposed: to use a platform to rapidly develop BIM-R applications (BIM-R platform) based on ontology and freeware components. Thus, a BIM-R platform must be developed. This study establishes: 1) the functional requirements of the BIM-R platform, 2) the mechanism to transform BIM data into ontology data, and 3) the architecture of the BIM-R platform. This study also selects freeware components to develop the BIM-R platform. A BIM-R platform is implemented accordingly and applied to develop a prototype BIM-R application for the as-bid cost estimation of buildings for illustration. It is concluded that the proposed platform can help reduce the cost and improve the efficiency for the development of BIM-R applications and can be used by both researchers and developers.

      PubDate: 2018-02-25T16:00:52Z
      DOI: 10.1016/j.autcon.2018.02.004
      Issue No: Vol. 90 (2018)
  • Post-earthquake fire simulation considering overall seismic damage of
           sprinkler systems based on BIM and FEMA P-58
    • Authors: Zhen Xu; Zongcai Zhang; Xinzheng Lu; Xiang Zeng; Hong Guan
      Pages: 9 - 22
      Abstract: Publication date: June 2018
      Source:Automation in Construction, Volume 90
      Author(s): Zhen Xu, Zongcai Zhang, Xinzheng Lu, Xiang Zeng, Hong Guan
      In this study, a post-earthquake fire simulation method considering the seismic damage of sprinkler systems is proposed to quantitatively assess the impact of the spread of fire owing to such damage. First, a modeling approach is designed to convert a building information model (BIM) to a computational fluid dynamics (CFD) model, thereby creating a high-fidelity model of a building and its sprinkler system in the fire dynamics simulator (FDS) program. Second, a probabilistic method for predicting the seismic damage of sprinkler components (including pipes and drops) is developed according to the next-generation performance-based design method in the Federal Emergency Management Agency (FEMA) P-58 report. Finally, using the seismic damage of the components, a prediction method is proposed to assess the overall seismic damage of the sprinkler system based on a tree data structure. A post-earthquake fire simulation of a six-story dormitory building is performed using the proposed method. The results indicate the level of effect that the seismic damage of the sprinkler system will have on the spreading of a post-earthquake fire. The outcome of this study provides an important practical method for quantitatively assessing the effect of the seismic damage of sprinkler systems on a post-earthquake fire.

      PubDate: 2018-02-25T16:00:52Z
      DOI: 10.1016/j.autcon.2018.02.015
      Issue No: Vol. 90 (2018)
  • Technology and application of real-time compaction quality monitoring for
           earth-rockfill dam construction in deep narrow valley
    • Authors: Denghua Zhong; Xiaochao Li; Bo Cui; Binping Wu; Yuxi Liu
      Pages: 23 - 38
      Abstract: Publication date: June 2018
      Source:Automation in Construction, Volume 90
      Author(s): Denghua Zhong, Xiaochao Li, Bo Cui, Binping Wu, Yuxi Liu
      Compaction quality is one of the most important aspects of the construction quality control of earth-rockfill dams. In recent years, real-time compaction quality monitoring technology based on a global navigation satellite system (GNSS) for earth-rockfill dams has realized effective control for earth-rockfill dam construction quality. However, many high earth-rockfill dams have been built in deep, narrow valleys, where the satellite signal is blocked by the tall, steep slopes such that the accuracy of the location is not satisfactory or that determining the location is fully impossible, thus seriously affecting the continuity and accuracy of real-time monitoring. The existing monitoring technology cannot meet the monitoring requirements in deep, narrow valleys. This paper establishes the theory and a mathematical model of real-time compaction quality monitoring in deep, narrow valleys and proposes a new method for real-time compaction quality monitoring based on positioning compensation technology (PCT), which combines GNSS and Robotic Total Station (RTS). An all-terrain and whole-process compaction quality monitoring of earth-rockfill dam construction is realized through this new method, making up for the shortcomings of the monitoring of the compaction process that relies solely on GNSS. Practical application shows that the method guarantees the objectivity and integrity of the real-time monitoring results, which ensures the compaction quality of earth-rockfill dam construction in deep, narrow valleys.

      PubDate: 2018-02-25T16:00:52Z
      DOI: 10.1016/j.autcon.2018.02.024
      Issue No: Vol. 90 (2018)
  • Automated optimization of steel reinforcement in RC building frames using
           building information modeling and hybrid genetic algorithm
    • Authors: Mohit Mangal; Jack C.P. Cheng
      Pages: 39 - 57
      Abstract: Publication date: June 2018
      Source:Automation in Construction, Volume 90
      Author(s): Mohit Mangal, Jack C.P. Cheng
      Design of steel reinforcement is an important and necessary task for designing reinforced concrete (RC) building structures. Currently, steel reinforcement design is performed manually or semi-automatically using computer software such as ETABS, with reference to building codes. These approaches are time consuming and sometimes error-prone. Recent advances in building information modeling (BIM) technology allow digital 3D BIM models to be leveraged for supporting different types of engineering analyses such as structural engineering design. With the aid of BIM technology, steel reinforcement design could be automated for fast, economical and error-free procedures. This paper presents a BIM-based framework using the developed three-stage hybrid genetic algorithm (GA) for automated optimization of steel reinforcement in RC frames. The methodology framework determines the selection and alignment of steel reinforcement bars in an RC building frame for the minimum steel reinforcement area, considering longitudinal tensile, longitudinal compressive and shear steel reinforcement. The first two stages optimize the longitudinal tensile and longitudinal compressive steel reinforcement while the third stage optimizes the shear steel reinforcement. International design code (BS8110) and buildability constraints are considered in the developed optimization framework. A BIM model in Industry Foundation Classes (IFC) is then automatically created to visualize the optimized steel reinforcement design results in 3D thereby facilitating design communication and generation of construction detailing drawings. A three-storey RC building frame is analyzed to check the applicability of the developed framework and its improvement over current design approaches. The results show that the developed methodology framework can minimize the steel reinforcement area quickly and accurately.

      PubDate: 2018-02-25T16:00:52Z
      DOI: 10.1016/j.autcon.2018.01.013
      Issue No: Vol. 90 (2018)
  • An automatic system for pressure control and load simulation of inflatable
           membrane structure
    • Authors: Bing Zhao; Jianhui Hu; Wujun Chen; Jianwen Chen; Zhenyu Qiu; Jinyu Zhou; Chengjun Gao
      Pages: 58 - 66
      Abstract: Publication date: June 2018
      Source:Automation in Construction, Volume 90
      Author(s): Bing Zhao, Jianhui Hu, Wujun Chen, Jianwen Chen, Zhenyu Qiu, Jinyu Zhou, Chengjun Gao
      Inflatable membrane structure employs flexible membranes as main constructive materials, as well as pressurized gas in the membrane envelope aiming to provide the bearing capacity and structural integrity. Therefore, the internal pressure control and load simulation method are very significant to estimate the structural behavior of inflatable membrane structure. This paper presents an automatic system for pressure control and load simulation of inflatable membrane structure, including a pressure control subsystem and a load simulation subsystem. For pressure control, internal pressure of inflatable membrane structure is controlled by switching the high-speed on/off valves which connect air compressor to the structure. For load simulation, wind pressure and wind suck loads, acting on membrane surface in the normal direction, are simulated by controlling the solenoid valves to allow the vacuum pumps to inflate air into or pump air out from the load simulation chamber which is closely connected to inflatable membrane structure with an airtight space. More importantly, the coupling control of two subsystems can be automatically carried out to simulate the inflatable membrane structure under resisting the varied wind loads. These above actions are automatically performed based on the control logic coded in software module. In order to estimate the proposed automatic system, the internal pressure control, load simulation and coupling control tests were performed on a square double-layer ETFE (ethylene tetrafluoroethylene) cushion model. Control performance and accuracy of the proposed system are proved by analyzing the measured pressures. It is thus demonstrated that the proposed automatic system is considerably automatic, accurate, efficient and reliable for pressure control and load simulation of inflatable membrane structures.

      PubDate: 2018-02-25T16:00:52Z
      DOI: 10.1016/j.autcon.2018.02.022
      Issue No: Vol. 90 (2018)
  • Image-based semantic construction reconstruction
    • Authors: Chin-Wei Liu; Tzong-Hann Wu; Meng-Han Tsai; Shih-Chung Kang
      Pages: 67 - 78
      Abstract: Publication date: June 2018
      Source:Automation in Construction, Volume 90
      Author(s): Chin-Wei Liu, Tzong-Hann Wu, Meng-Han Tsai, Shih-Chung Kang
      Site layout planning is a crucial task for enhancing the safety and efficiency of a construction project. However, the locations and the number of on-site objects change constantly during construction. Hence, dynamic site layout planning is difficult without a real-time data acquisition method. Therefore, in this research, we develop a method to rapidly acquire the geometric information, positions, and dimension data of construction objects from on-site cameras and then generate a virtual construction scene. This method contains four steps—projection, duplication, description, and calibration—and it is incorporated in a novel software tool. The first step, projection, establishes a projective model that maps video images to the actual site using cameras. The second step, duplication, quickly determines geometries from the video images of the positions and dimensions of a construction in order to build a 3-D model in a geometric virtual construction. The third step, description, associates the geometric models with corresponding actual objects to establish a virtual construction scene that incorporates the practical knowledge of engineers. The fourth step, calibration, improves the accuracy of the virtual construction for more realistic planning. The developed software tool thus allows engineers to load a video and specify the locations of each filmed object, as well as to specify the properties of the objects. Video images are linked with virtual models via the numerical models created simultaneously from the algorithms in the software tool. In order to verify that our method is feasible, we retrieve closed-circuit television videos from an actual construction site. Using the software, it took users an average of 123.6 s to generate the corresponding virtual construction scene, including three working areas and three on-site objects through the four-step method. Measurements of the dimensions of actual objects and corresponding virtual objects are compared and errors range from 0.2 to 1.2 m. In the fourth step, engineers can use the more accurate, known dimensions of an object to reduce this error to an acceptable range for the needs of a construction site. In summary, the tool we developed allows engineers to re-plan an operation in a semantic virtual construction instead of risking re-planning on the actual site. The tool also has the potential to bring construction simulations closer to reality.

      PubDate: 2018-02-25T16:00:52Z
      DOI: 10.1016/j.autcon.2018.02.016
      Issue No: Vol. 90 (2018)
  • Precision study on augmented reality-based visual guidance for facility
           management tasks
    • Authors: Fei Liu; Stefan Seipel
      Pages: 79 - 90
      Abstract: Publication date: June 2018
      Source:Automation in Construction, Volume 90
      Author(s): Fei Liu, Stefan Seipel
      One unique capability of augmented reality (AR) is to visualize hidden objects as a virtual overlay on real occluding objects. This “X-ray vision” visualization metaphor has proved to be invaluable for operation and maintenance tasks such as locating utilities behind a wall. Locating virtual occluded objects requires users to estimate the closest projected positions of the virtual objects upon their real occluders, which is generally under the influence of a parallax effect. In this paper we studied the task of locating virtual pipes behind a real wall with “X-ray vision” and the goal is to establish relationships between task performance and spatial factors causing parallax through different forms of visual augmentation. We introduced and validated a laser-based target designation method which is generally useful for AR-based interaction with augmented objects beyond arm's reach. The main findings include that people can mentally compensate for the parallax error when extrapolating positions of virtual objects on the real surface given traditional 3D depth cues for spatial understanding. This capability is, however, unreliable especially in the presence of the increasing viewing offset between the users and the virtual objects as well as the increasing distance between the virtual objects and their occluders. Experiment results also show that positioning performance is greatly increased and unaffected by those factors if the AR support provides visual guides indicating the closest projected positions of virtual objects on the surfaces of their real occluders.

      PubDate: 2018-02-25T16:00:52Z
      DOI: 10.1016/j.autcon.2018.02.020
      Issue No: Vol. 90 (2018)
  • MVD based information exchange between BIM and building energy performance
    • Authors: Sergio Pinheiro; Reinhard Wimmer; James O’Donnell; Sergej Muhic; Vladimir Bazjanac; Tobias Maile; Jérôme Frisch; Christoph van Treeck
      Pages: 91 - 103
      Abstract: Publication date: June 2018
      Source:Automation in Construction, Volume 90
      Author(s): Sergio Pinheiro, Reinhard Wimmer, James O’Donnell, Sergej Muhic, Vladimir Bazjanac, Tobias Maile, Jérôme Frisch, Christoph van Treeck
      The process of preparing building energy performance simulation (BEPS) models involves repetitive manual operations that often lead to data losses and errors. As a result, BEPS model inputs can vary widely from this time consuming, non-standardised and subjective process. This paper proposes a standardised method of information exchange between Building Information Modelling (BIM) and BEPS tools using the Information Delivery Manual (IDM) and Model View Definition (MVD) methodologies. The methodology leverages a collection of use cases to initiate the identification of exchange requirements needed by BEPS tools. The IDM/MVD framework captures and translates exchange requirements into the Industry Foundation Classes (IFC) schema. The suggested approach aims to facilitate the transfer of information from IFC based BIM to either conventional or advanced BEPS tools (e.g. EnergyPlus and Modelica) through the development of a specific MVD that defines a subset of the IFC data model that deals with building energy performance simulation. By doing so, the potential of BIM-based simulation can be fully unlocked, and a reliable and consistent IFC subset is provided as an input for energy simulation software.

      PubDate: 2018-02-25T16:00:52Z
      DOI: 10.1016/j.autcon.2018.02.009
      Issue No: Vol. 90 (2018)
  • Parametric-based distribution duct routing generation using
           constraint-based design approach
    • Authors: Benachir Medjdoub; Gang Bi
      Pages: 104 - 116
      Abstract: Publication date: June 2018
      Source:Automation in Construction, Volume 90
      Author(s): Benachir Medjdoub, Gang Bi
      In this paper, we present a generative design approach using constraint-based programming to handle the duct routing for ceiling mounted fan coil systems in buildings. This work utilises and builds on the result from previous approach using case-based reasoning and constraint satisfaction problem to deal with the space configuration of complex design problems for ceiling mounted fan coil systems in buildings. In this work, our approach automates the distribution routing using constraint-based approach. Comparatively to previous work, the system we have developed generates parametric-based models where further interactive modification and interaction is made possible for the end user. This approach has been tested in real case scenario working with our industrial partners.

      PubDate: 2018-02-25T16:00:52Z
      DOI: 10.1016/j.autcon.2018.02.006
      Issue No: Vol. 90 (2018)
  • Interpretation of structural analytical models from the coordination view
           in building information models
    • Authors: Issa J. Ramaji; Ali M. Memari
      Pages: 117 - 133
      Abstract: Publication date: June 2018
      Source:Automation in Construction, Volume 90
      Author(s): Issa J. Ramaji, Ali M. Memari
      Structural design/analysis is one of the most needed uses of Building Information Modeling (BIM). Transforming a building information model to an engineering analytical model is tedious and time-consuming. In addition to geometry transformation, extensive modifications and interpretations are required to make the complex transformed model ready for analysis. Despite such a recognized need, Industry Foundation Classes (IFC) has not been developed sufficiently in engineering analysis uses of BIM as much as it is in some other uses such as design coordination and facility management. As a contribution to addressing this void, development of a new mechanism is discussed in this paper for transformation of IFC building information models in the Coordination View to their equivalent structural models in IFC Structural Analysis View. Considering IFC as the input and output file formats of the mechanism significantly increases the level of interoperability in the proposed model interpretation process. This mechanism is designed to automate the required transformation, modification, and additions operations during such information exchanges. To illustrate feasibility of its implementation, a tool is introduced to automate the developed Interpreted Information Exchange (IIE) mechanism, and its application through a case study serves as validation of the mechanism. The designed IIE mechanism can be extended to automate additional structural modeling tasks. The IIE concept is also applicable to other uses of BIM, especially engineering analysis uses, in order to automate creation of analytical modeling from building information models.

      PubDate: 2018-02-25T16:00:52Z
      DOI: 10.1016/j.autcon.2018.02.025
      Issue No: Vol. 90 (2018)
  • SeeBridge as next generation bridge inspection: Overview, Information
           Delivery Manual and Model View Definition
    • Authors: Rafael Sacks; Amir Kedar; André Borrmann; Ling Ma; Ioannis Brilakis; Philipp Hüthwohl; Simon Daum; Uri Kattel; Raz Yosef; Thomas Liebich; Burcu Esen Barutcu; Sergej Muhic
      Pages: 134 - 145
      Abstract: Publication date: June 2018
      Source:Automation in Construction, Volume 90
      Author(s): Rafael Sacks, Amir Kedar, André Borrmann, Ling Ma, Ioannis Brilakis, Philipp Hüthwohl, Simon Daum, Uri Kattel, Raz Yosef, Thomas Liebich, Burcu Esen Barutcu, Sergej Muhic
      Innovative solutions for rapid and intelligent survey and assessment methods are required in maintenance, repair, retrofit and rebuild of enormous numbers of bridges in service throughout the world. Motivated by this need, a next-generation integrated bridge inspection system, called SeeBridge, has been proposed. An Information Delivery Manual (IDM) was compiled to specify the technical components, activities and information exchanges in the SeeBridge process, and a Model View Definition (MVD) was prepared to specify the data exchange schema to serve the IDM. The MVD was bound to the IFC4 Add2 data schema standard. The IDM and MVD support research and development of the system by rigorously defining the information and data that structure bridge engineers' knowledge. The SeeBridge process is mapped, parts of the data repositories are presented, and the future use of the IDM is discussed. The development underlines the real potential for automated inspection of infrastructure at large, because it demonstrates that the hurdles in the way of automated acquisition of detailed and semantically rich models of existing infrastructure are computational in nature, not instrumental, and are surmountable with existing technologies.

      PubDate: 2018-02-25T16:00:52Z
      DOI: 10.1016/j.autcon.2018.02.033
      Issue No: Vol. 90 (2018)
  • A tri-objective ant colony optimization based model for planning safe
           construction site layout
    • Authors: Xin Ning; Jingyan Qi; Chunlin Wu; Wenjuan Wang
      Pages: 1 - 12
      Abstract: Publication date: May 2018
      Source:Automation in Construction, Volume 89
      Author(s): Xin Ning, Jingyan Qi, Chunlin Wu, Wenjuan Wang
      Realizing safety improvements in construction site layout planning (CSLP) is vitally important to construction project safety management. Unlike previous studies in which the safety objective is built without detailed risk factors analysis, this study transforms CSLP into a multi-objective optimization (MOO) problem with designing two safety objective functions due to facility safety relationships (potential risks arising from interaction flows) and geographic safety relationship (potential risks arising from hazardous sources) from the holistic interpretation of interaction relationship connecting temporary facilities. Besides, a supplementary cost reduction objective function was also derived as cost is a critical barrier against safety improvement. Subsequently, a tri-objective ant colony optimization based model was developed to solve MOO problem. Finally, a case study is used to verify the proposed model. The study enriches safety implications by considering onsite safety issues from interaction relationship and enhances site safety of CSLP in the pre-construction stage.

      PubDate: 2018-02-04T21:21:45Z
      DOI: 10.1016/j.autcon.2018.01.007
      Issue No: Vol. 89 (2018)
  • Perspectives on a BIM-integrated software platform for robotic
           construction through Contour Crafting
    • Authors: Omid Davtalab; Ali Kazemian; Behrokh Khoshnevis
      Pages: 13 - 23
      Abstract: Publication date: May 2018
      Source:Automation in Construction, Volume 89
      Author(s): Omid Davtalab, Ali Kazemian, Behrokh Khoshnevis
      Robotic construction through concrete 3D printing is an in-progress revolution in construction industry. While significant progress is made on hardware related challenges, software and information related issues of such innovative system are less discussed. In this paper, a software platform is proposed for data retrieval and analysis from BIM models and utilizing it efficiently during various stages of the process. While the general idea of using BIM for automated construction has been mentioned before, the implementation details (the focus of this paper) were not previously discussed. To this aim, a framework is proposed to integrate BIM into an automated construction system. A Planning and Operations Control Software for Automated Construction (POCSAC) is developed as a major enabler for a seamless integration of BIM and Contour Crafting. The interoperation between different components of the construction system and BIM platform are designed to maximize the realized benefits through synergy of the two technologies.

      PubDate: 2018-02-04T21:21:45Z
      DOI: 10.1016/j.autcon.2018.01.006
      Issue No: Vol. 89 (2018)
  • An integrated visualization framework to support whole-process management
           of water pipeline safety
    • Authors: Donghai Liu; Junjie Chen; Shuai Li; Wei Cui
      Pages: 24 - 37
      Abstract: Publication date: May 2018
      Source:Automation in Construction, Volume 89
      Author(s): Donghai Liu, Junjie Chen, Shuai Li, Wei Cui
      Timely assessment of structural conditions of water diversion pipelines and taking necessary precautions are essential to ensure the operational safety of large water diversion structures. This paper presents an integrated visualization framework to support the safety management of water diversion pipelines. This holistic framework streamlines data collection, data analysis, warning issuance, and decision-making support in an integrated platform, which improves the automation level of safety management and the efficiency of emergency response. A system prototype was developed based on the proposed framework and implemented in a water supply project in Tianjin, China. The system prototype can automatically assess the structural condition of water diversion pipelines and issue corresponding warnings to relevant professionals, and provide visual cues and a set of useful functions to support decision-making. This system prototype and its implementation validate the applicability and efficacy of the proposed framework.

      PubDate: 2018-02-04T21:21:45Z
      DOI: 10.1016/j.autcon.2018.01.010
      Issue No: Vol. 89 (2018)
  • SLAM-driven robotic mapping and registration of 3D point clouds
    • Authors: Pileun Kim; Jingdao Chen; Yong K. Cho
      Pages: 38 - 48
      Abstract: Publication date: May 2018
      Source:Automation in Construction, Volume 89
      Author(s): Pileun Kim, Jingdao Chen, Yong K. Cho
      With the rapid advancement of laser scanning and photogrammetry technologies, frequent geometric data collection at construction sites by contractors has been increased for the purpose of improving constructability, productivity, and onsite safety. However, the conventional static laser scanning method suffers from operational limitations due to the presence of many occlusions commonly found in a typical construction site. Obtaining a complete scan of a construction site without information loss requires that laser scans are obtained from multiple scanning locations around the site, which also necessitates extra work for registering each scanned point cloud. As an alternate solution to this problem, this paper introduces an autonomous mobile robot which navigates a scan site based on a continuously updated point cloud map. This mobile robot system utilizes the 2D Hector Simultaneous Localization and Mapping (SLAM) technique to estimate real-time positions and orientations of the robot in the x-y plane. Then, the 2D localization information is used to create 3D point clouds of unknown environments in real time to determine its navigation paths as a pre-scanning process. The advantage of this framework is the ability to determine the optimal scan position and scan angle to reduce the scanning time and effort for gathering high resolution point cloud data in real-time. The mobile robot system is able to capture survey-quality RGB-mapped point cloud data, and automatically register the scans for geometric reconstruction of the site. The performance of the overall system was tested in an indoor environment and validated with promising results.

      PubDate: 2018-02-04T21:21:45Z
      DOI: 10.1016/j.autcon.2018.01.009
      Issue No: Vol. 89 (2018)
  • Assessment of the feasibility of detecting concrete cracks in images
           acquired by unmanned aerial vehicles
    • Authors: Xingu Zhong; Xiong Peng; Shengkun Yan; Mingyan Shen; Yinyin Zhai
      Pages: 49 - 57
      Abstract: Publication date: May 2018
      Source:Automation in Construction, Volume 89
      Author(s): Xingu Zhong, Xiong Peng, Shengkun Yan, Mingyan Shen, Yinyin Zhai
      An 8-rotor unmanned aerial vehicle is used as a working platform. Its motion characteristics in a hovering state are obtained using a non-contact measurement instrument, which, along with the modulation transfer function of its airborne images, indicates the reliability of the airborne images of unmanned aerial vehicles in a hovering state. By installing a laser range finder on the cradle synchronized with the camera shutter to measure the object distance, the pixel resolution of the object distance is obtained. The airborne images are then processed using the MATLAB image processing toolbox, from which the pixels of concrete cracks are extracted. Compared to a static image and direct manual measurements, the airborne image of the unmanned aerial vehicle has higher precision, indicating its wide potential applications as an alternative of the conventional inspection methods of bridge-inspection vehicle and working platforms.

      PubDate: 2018-02-04T21:21:45Z
      DOI: 10.1016/j.autcon.2018.01.005
      Issue No: Vol. 89 (2018)
  • Transfer learning and deep convolutional neural networks for safety
           guardrail detection in 2D images
    • Authors: Zdenek Kolar; Hainan Chen; Xiaowei Luo
      Pages: 58 - 70
      Abstract: Publication date: May 2018
      Source:Automation in Construction, Volume 89
      Author(s): Zdenek Kolar, Hainan Chen, Xiaowei Luo
      Safety has been a concern for the construction industry for decades. Unsafe conditions and behaviors are considered as the major causes of construction accidents. The current safety inspection of conditions and behaviors heavily rely on human efforts which are limited onsite. To improve the safety performance of the industry, a more efficient approach to identify the unsafe conditions on site is required to supplement the current manual inspection practice. A promising way to supplement the current manual safety inspection is automated and intelligent monitoring/inspection through information and sensing technologies, including localization techniques, environment monitoring, image processing and etc. To assess the potential benefits of contemporary technologies for onsite safety inspection, the authors focused on real-time guardrail detection, as unprotected edges are the ones cause for workers falling from heights. In this paper, the authors developed a safety guardrail detection model based on convolutional neural network (CNN). An augmented data set is generated with the addition of background image to guardrail 3D models and used as training set. Transfer learning is utilized and the Visual Geometry Group architecture with 16 layers (VGG-16) model is adopted to construct the basic features extraction for the neural network. In the CNN implementation, 4000 augmented images were used to train the proposed model, while another 2000 images collected from real construction jobsites and 2000 images from Google were used to validate the proposed model. The proposed CNN-based guardrail detection model obtained a high accuracy of 96.5%. In addition, this study indicates that the synthetic images generated by augment technology can be used to create a large training dataset, and CNN-based image detection algorithm is a promising approach in construction jobsite safety monitoring.

      PubDate: 2018-02-25T16:00:52Z
      DOI: 10.1016/j.autcon.2018.01.003
      Issue No: Vol. 89 (2018)
  • An empirical validation of the performance of project control tolerance
    • Authors: Annelies Martens; Mario Vanhoucke
      Pages: 71 - 85
      Abstract: Publication date: May 2018
      Source:Automation in Construction, Volume 89
      Author(s): Annelies Martens, Mario Vanhoucke
      The goal of project control is monitoring the project progress during project execution to detect potential problems and taking corrective actions when necessary. Tolerance limits are a tool to assess whether the project progress is acceptable or not, and generate warnings signals that act as triggers for corrective action to the project manager. In this paper, three distinct types of tolerance limits that have been proposed in literature are validated on a large and diverse set of real-life projects mainly situated in the construction sector. Moreover, a novel approach to construct tolerance limits that integrate the project risk information into the monitoring process is introduced. The results of the empirical experiment have shown that integrating project-specific information into the construction of the tolerance limits results in a higher efficiency of the monitoring process. More specifically, while including cost information increases the efficiency only marginally, incorporating the available resource information substantially improves the efficiency of the monitoring process. Furthermore, when projects are not restricted by scarce resources, the efficiency can be enhanced by integrating the available project risk information.

      PubDate: 2018-02-04T21:21:45Z
      DOI: 10.1016/j.autcon.2018.01.002
      Issue No: Vol. 89 (2018)
  • Process, productivity, and economic analyses of BIM–based multi-trade
           prefabrication—A case study
    • Authors: Sejun Jang; Ghang Lee
      Pages: 86 - 98
      Abstract: Publication date: May 2018
      Source:Automation in Construction, Volume 89
      Author(s): Sejun Jang, Ghang Lee
      Previous studies yielded contradicting results regarding the benefits of multi-trade prefabrication (MTP) based on building information modeling (BIM). This study investigates the causes of the contradicting results by analyzing the process, productivity, and economic benefits of BIM-based MTP through a case study. The process analysis results indicate that coordinating mechanical, electrical, and plumbing (MEP) systems took longer in MTP than in the conventional method because of the newly added offsite coordination activities. Nevertheless, the overall project duration was reduced because of the parallel execution of MTP and concrete work. The productivity analysis shows that the newly added MTP activities also increased person-hours. However, as the assembly process was repeated, the required person-hours decreased by 40% from that of the initial stage because of the learning effect. The case study revealed that the management of coordination activities and the selection of projects were critical for the successful implementation of BIM-based MTP.

      PubDate: 2018-02-04T21:21:45Z
      DOI: 10.1016/j.autcon.2017.12.035
      Issue No: Vol. 89 (2018)
  • Automated defect detection tool for closed circuit television (cctv)
           inspected sewer pipelines
    • Authors: Alaa Hawari; Mazen Alamin; Firas Alkadour; Mohamed Elmasry; Tarek Zayed
      Pages: 99 - 109
      Abstract: Publication date: May 2018
      Source:Automation in Construction, Volume 89
      Author(s): Alaa Hawari, Mazen Alamin, Firas Alkadour, Mohamed Elmasry, Tarek Zayed
      In sewer networks, the economic effects and costs that result from a pipeline failure are rising sharply. As a result, there is huge demand for inspection and rehabilitation of sewer pipelines. In addition to being inaccurate, current practices of sewer pipelines inspection are time consuming and may not keep up with the deterioration rates of the pipelines. This papers presents the development of an automated tool to detect some defects such as: cracks, deformation, settled deposits and joint displacement in sewer pipelines. The automated approach is dependent upon using image-processing techniques and several mathematical formulas to analyze output data from Closed Circuit Television (CCTV) camera images. The automated tool was able to detect cracks, displaced joints, ovality and settled deposits in pipelines using CCTV camera inspection output footage using two different datasets. To examine the performance of the proposed detection methodology, confusion matrices were constructed, in which true positives for crack, settled deposits and displaced joints were 74%, 53% and 65%. As for the ovality, all defects in the images were detected successfully. Although these values could indicate low performance, however the proposed methodology could be improved if additional images were used. Given that one inspection session can result in hundreds of CCTV camera footage, introducing an automated tool would help yield faster results. Additionally, given the subjective nature of evaluating the severity of defects, it would result in more systematic outputs since the current method rely heavily on the operator's experience.

      PubDate: 2018-02-04T21:21:45Z
      DOI: 10.1016/j.autcon.2018.01.004
      Issue No: Vol. 89 (2018)
  • Applications of additive manufacturing in the construction industry
           – A forward-looking review
    • Authors: Daniel Delgado Camacho; Patricia Clayton; William J. O'Brien; Carolyn Seepersad; Maria Juenger; Raissa Ferron; Salvatore Salamone
      Pages: 110 - 119
      Abstract: Publication date: May 2018
      Source:Automation in Construction, Volume 89
      Author(s): Daniel Delgado Camacho, Patricia Clayton, William J. O'Brien, Carolyn Seepersad, Maria Juenger, Raissa Ferron, Salvatore Salamone
      Additive manufacturing (AM), also known as 3D printing, fabricates components in a layerwise fashion directly from a digital file. Many of the early applications of AM technologies have been in the aerospace, automotive, and healthcare industries. Building on the advances in AM in these industries, there are several experimental applications of AM in the construction sector. Early investigations suggest that use of AM technologies for construction have the potential to decrease labor costs, reduce material waste, and create customized complex geometries that are difficult to achieve using conventional construction techniques. However, these initial investigations do not cover the full range of potential applications for construction or exploit the rapidly maturing AM technologies for a variety of material types. This paper provides an up-to-date review of AM as it relates to the construction industry, identifies the trend of AM processes and materials being used, and discusses related methods of implementing AM and potential advancements in applications of AM. Examples of potential advancements include use of multi-materials (e.g., use of high-performance materials only in areas where they are needed), in-situ repair in locations that are difficult or dangerous for humans to access, disaster relief construction in areas with limited construction workforce and material resources, structural and non-structural elements with optimized topologies, and customized parts of high value. AM's future in the construction industry is promising, but interdisciplinary research is still needed to provide new materials, new processes, faster printing, quality assurance, and data on mechanical properties before AM can realize its full potential in infrastructure construction.

      PubDate: 2018-02-04T21:21:45Z
      DOI: 10.1016/j.autcon.2017.12.031
      Issue No: Vol. 89 (2018)
  • 4-Plane congruent sets for automatic registration of as-is 3D point clouds
           with 3D BIM models
    • Authors: Martín Bueno; Frédéric Bosché; Higinio González-Jorge; Joaquín Martínez-Sánchez; Pedro Arias
      Pages: 120 - 134
      Abstract: Publication date: May 2018
      Source:Automation in Construction, Volume 89
      Author(s): Martín Bueno, Frédéric Bosché, Higinio González-Jorge, Joaquín Martínez-Sánchez, Pedro Arias
      Construction quality and progress control are demanding, yet critical construction activities. Building Information Models and as-built scanned data can be used in Scan-vs-BIM processes to effectively and comprehensively support these activities. This however requires accurate registration of scanned point clouds with 3D (BIM) models. Automating such registration remains a challenge in the context of the built environment, because as-built can be incomplete and/or contain data from non-model objects, and construction buildings and other structures often present symmetries and self-similarities that are very challenging to registration. In this paper, we present a novel automatic coarse registration method that is an adaptation of the ‘4 Points Congruent Set’ algorithm to the use of planes; we call it the ‘4-Plane Congruent Set’ (4-PlCS) algorithm. The approach is further integrated in a software system that delivers not one but a ranked list of the most likely transformations, so to allow the user to quickly select the correct transformation, if need be. Two variants of the method are also considered, in particular one in the case when the vertical axis is known a priori; we call that method the 4.5-PlCS method. The proposed algorithm is tested using five different datasets, including three simulated and two real-life ones. The results show the effectiveness of the proposed method, where the correct transformation always ranks very high (in our experiments, first or second), and is extremely close to the ground-truth transformation. Experimental comparison of the proposed approach with a standard, more intuitive approach based on finding 3-plane congruent sets shows the discriminatory power of 4-plane bases over 3-plane bases, albeit at no clear benefits in terms of computational time. The experimental results for the 4.5-PlCS method show that it delivers a non-negligible reduction in computational time (approx. 20%), but at no additional benefit in terms of effectiveness in finding the correct transformation.

      PubDate: 2018-02-04T21:21:45Z
      DOI: 10.1016/j.autcon.2018.01.014
      Issue No: Vol. 89 (2018)
  • Integrated condition rating and forecasting method for bridge decks using
           Visual Inspection and Ground Penetrating Radar
    • Authors: Mohammed Alsharqawi; Tarek Zayed; Saleh Abu Dabous
      Pages: 135 - 145
      Abstract: Publication date: May 2018
      Source:Automation in Construction, Volume 89
      Author(s): Mohammed Alsharqawi, Tarek Zayed, Saleh Abu Dabous
      The growing problem of bridge deterioration globally has imposed prominent challenges on transportation agencies, mainly in terms of ensuring safety and serviceability of the bridge infrastructure. The large number of bridges built during the 20th century has aged and produced a complex decision-making problem that departments of transportation need to deal with. Bridge management, as a particular domain of infrastructure asset management, has focused on developing methods for condition rating and deterioration modeling. The current research reviews bridge inspection practices and identifies the main defects and deterioration signs of concrete bridge decks that are typically captured by Visual Inspection (VI) and Non-Destructive Evaluation (NDE) techniques. The research introduces the Quality Function Deployment (QFD) theory and Weibull Distribution Function (WDF) as an integrated novel method to the area of bridge condition assessment and deterioration modeling. The proposed QFD condition assessment model is developed based on integrating VI and Ground Penetrating Radar (GPR) evaluation results to provide consistent condition ratings and performance predictions. The QFD model is demonstrated with a real case study and compared to other condition assessment models. Moreover, the QFD method is validated with data extracted from twenty bridge inspection reports completed by bridge inspectors and assessed by bridge experts. The developed deterioration curves using the reliability function for the Weibull distribution show absolute matching in these results through predicting the structure future performance and defining its useful service life. Accordingly, these models can enhance bridge Maintenance, Repair and Replacement (MRR) decisions since they produce reliable condition ratings and predictions that can link to proper rehabilitation action, and eventually assist in the decision making and planning for the selected MRR action. All these processes are integrated within one framework.

      PubDate: 2018-02-04T21:21:45Z
      DOI: 10.1016/j.autcon.2018.01.016
      Issue No: Vol. 89 (2018)
  • An Internet of Things-enabled BIM platform for on-site assembly services
           in prefabricated construction
    • Authors: Clyde Zhengdao Li; Fan Xue; Xiao Li; Jingke Hong; Geoffrey Qiping Shen
      Pages: 146 - 161
      Abstract: Publication date: May 2018
      Source:Automation in Construction, Volume 89
      Author(s): Clyde Zhengdao Li, Fan Xue, Xiao Li, Jingke Hong, Geoffrey Qiping Shen
      Building Information Modelling (BIM) serves as a useful tool in facilitating the on-site assembly services (OAS) of prefabricated construction for its benefits of powerful management of physical and functional digital presentations. However, the benefits of using BIM in the OAS of prefabricated construction cannot be cultivated with an incomplete, inaccurate, and untimely data exchange and lack of real-time visibility and traceability. To deal with these challenges, an Internet of Things (IoT)-enabled platform is designed by integrating IoT and BIM for prefabricated public housing projects in Hong Kong. The demands of the stakeholders were analysed; then smart construction objects (SCOs) and smart gateway are defined and designed to collect real-time data throughout the working processes of on-site assembly of prefabricated construction using the radio frequency identification (RFID) technology. The captured data is uploaded to cloud in real-time to process and analyse for decision support purposes for the involved site managers and workers. Visibility and traceability functions are developed with BIM and virtual reality (VR) technologies, through which managers can supervise the construction progress and approximate cost information in a real-time manner. The IoT-enabled platform can provide various decision support tools and services to different stakeholders, for improving the efficiency and effectiveness of daily operations, decision making, collaboration, and supervision throughout on-site assembly processes of prefabricated construction.

      PubDate: 2018-02-04T21:21:45Z
      DOI: 10.1016/j.autcon.2018.01.001
      Issue No: Vol. 89 (2018)
  • Geostatistical analysis of intelligent compaction measurements for asphalt
           pavement compaction
    • Authors: Wei Hu; Xiang Shu; Xiaoyang Jia; Baoshan Huang
      Pages: 162 - 169
      Abstract: Publication date: May 2018
      Source:Automation in Construction, Volume 89
      Author(s): Wei Hu, Xiang Shu, Xiaoyang Jia, Baoshan Huang
      Although unable to address the issue of spatial uniformity, univariate statistics are commonly used to evaluate the compaction uniformity of asphalt layers nowadays. Intelligent compaction (IC) technology can provide the spatial IC measurement values (ICMV) with 100% coverage during compaction and offers an opportunity to perform the geostatistical analysis on the compacted asphalt layers. In this study, the construction quality of two typical asphalt pavement projects, including one new pavement construction project and one resurfacing construction project, were evaluated by performing geostatistical analysis for ICMV. Some critical issues regarding the use of geostatistical method for the evaluation of construction quality were also addressed by the case studies. The results from the geostatistical analyses show that IC technology can offer detailed information about spatial compaction uniformity. Upon comparison of the spatial uniformity between different layers, the semivariogram after the normal score transformation was suggested due to the measuring depths of the IC roller. The spatial statistics of ICMV could be adopted to monitor the changes in spatial uniformity during compaction. The factors affecting ICMV and geostatistical analysis were further discussed.

      PubDate: 2018-02-04T21:21:45Z
      DOI: 10.1016/j.autcon.2018.01.012
      Issue No: Vol. 89 (2018)
  • A mobile android tool for simplified GPR data processing in construction
    • Authors: Francisco Javier Prego; Luis Nieto; Mercedes Solla; Iván Puente
      Pages: 170 - 182
      Abstract: Publication date: May 2018
      Source:Automation in Construction, Volume 89
      Author(s): Francisco Javier Prego, Luis Nieto, Mercedes Solla, Iván Puente
      This work presents a new GPR signal processing tool for mobile devices, which uses the free Android platform in smartphones and tablets. The developed application is able to display and process radargrams without using the most common commercial software applied for GPR signal processing. These existing applications have usually been developed for advanced signal processing, which results in complex processes and requires large computational resources. Therefore, the aim of this work was to develop a simplified and intuitive tool, which allows speeding up the GPR signal processing. For such purpose, the application implements basic filters to optimize the GPR images analysis and to facilitate data interpretation. Different tools have also been implemented to obtain interesting geometric measurements, such as thicknesses and diameters in rebar or piping. Thus, any non-expert user on the GPR technique could generate preliminary in-situ results using conventional smartphone or tablet devices.

      PubDate: 2018-02-04T21:21:45Z
      DOI: 10.1016/j.autcon.2018.01.017
      Issue No: Vol. 89 (2018)
  • Optimization of crane setup location and servicing schedule for urgent
           material requests with non-homogeneous and non-fixed material supply
    • Authors: Chun Huang; C.K. Wong
      Pages: 183 - 198
      Abstract: Publication date: May 2018
      Source:Automation in Construction, Volume 89
      Author(s): Chun Huang, C.K. Wong
      Reducing hook movement distances could decrease crane operation times to deliver heavyweight materials in construction sites. Conventional scheduling methods include first-in-first-serve (FIFS), shortest-job-first (SJF), nearest-neighbor-first (NNF), and Traveling salesman problem (TSP). A new optimization model to optimize crane setup location, hook movement sequences and servicing schedules serving all supply and demand locations is proposed. Proposed model is able to model homogeneous and non-homogeneous material supply. Initial hook location can be given as input for optimization. Fixed material supply and demand location pairs are relaxed as model variables. Maximum crane lifting capacity is considered and multiple hook movement trips between material supply and demand locations are modeled if requested material weights exceed this maximum crane lifting capacity. Users may place “urgent” material demand requests and the proposed optimization model can optimize a servicing sequence to prioritize all urgent requests. The problem is formulated as a Binary-Mixed-Integer-Linear-Program (BMILP) which is solved by standard branch-and-bound techniques. Significant reduction in total operation time is achieved while comparing to other conventional scheduling strategies.

      PubDate: 2018-02-04T21:21:45Z
      DOI: 10.1016/j.autcon.2018.01.015
      Issue No: Vol. 89 (2018)
  • Teleyes: A telepresence system based on stereoscopic vision and head
           motion tracking
    • Authors: Ming-Chang Wen; Cheng-Hsuan Yang; Meng-Han Tsai; Shih-Chung Kang
      Pages: 199 - 213
      Abstract: Publication date: May 2018
      Source:Automation in Construction, Volume 89
      Author(s): Ming-Chang Wen, Cheng-Hsuan Yang, Meng-Han Tsai, Shih-Chung Kang
      This study develops a telepresence system, Teleyes, to reduce visual distortion in remote environments. The primary objective of this research is to take advantage of state-of-art three-dimensional (3D) input/outputs technologies and to develop an avatar-like mechanism to synchronize the physical behavior of an operator with a remote system. Two 3D input/output methods are used in this research: stereoscopic vision and motion tracking. The system is designed to work under closed-loop control involving human feedback. Two cameras that are optimized according to the human eye angle-of-view to accommodate for the perspective of human eyes are used as stereoscopic vision inputs on the unmanned vehicle. At the operator end, a head mounted display is used to display the stereoscopic image and to track the operator's head movement with embedded sensors. The head-movement tracking data are interpreted into control signals and returned to the unmanned vehicle to control a three-axis gimbal mechanism, on which the two cameras are installed. The Teleyes system has been validated using a designed experimental application scenario and compared with current methods using five different operators. On average, the proposed system reduced the distance error of operators by 45.1% and the time usage by 18.2%. The results show that the system has significantly improved the visual experience and operating efficiency, thus having the potential to save resources and expand the application of unmanned vehicle systems (UVSs). The developed system provides the operator with a realistic first-person view of a UVS and a visual experience similar to being onboard.

      PubDate: 2018-02-04T21:21:45Z
      DOI: 10.1016/j.autcon.2018.01.008
      Issue No: Vol. 89 (2018)
  • Developing an evacuation evaluation model for offshore oil and gas
           platforms using BIM and agent-based model
    • Authors: Jack C.P. Cheng; Yi Tan; Yongze Song; Zhongya Mei; Vincent J.L. Gan; Xiangyu Wang
      Pages: 214 - 224
      Abstract: Publication date: May 2018
      Source:Automation in Construction, Volume 89
      Author(s): Jack C.P. Cheng, Yi Tan, Yongze Song, Zhongya Mei, Vincent J.L. Gan, Xiangyu Wang
      Accidents on offshore oil and gas platforms (OOGPs) usually cause serious fatalities and financial losses considering the demanding environment where such platforms are located and the complicated topsides structure that the platforms have. Conducting evacuation planning on OOGPs is challenging. Computational tools are considered as a good way to plan evacuation by emergency simulation. However, the complex structure of OOGPs and various evacuation behaviors can weaken the advantages of computational simulation. Therefore, this study develops a simulation model for OOGPs to evaluate different evacuation plans to improve evacuation performance by integrating building information modeling (BIM) technology and agent-based model (ABM). The developed model consists of four parts: evacuation model input, simulation environment modeling, agent definition, and simulation and comparison. Necessary platform information is extracted from BIM and then used to model the simulation environment by integrating matrix model and network model. In addition to essential attributes, environment sensing and dynamic escape path planning functions are developed and assigned to agents in order to improve simulation performance. Total evacuation time for all agents on an offshore platform is used to evaluate the evacuation performance of each simulation. An example OOGP BIM topsides with different emergency scenarios is used to illustrate the developed evacuation evaluation model. The results show that the developed model can accurately simulate evacuation and improve evacuation performance on OOGPs. The developed model is also applicable to other industries such as the architecture, engineering, and construction industry, where there is an increasing demand for evacuation planning and simulation.

      PubDate: 2018-02-25T16:00:52Z
      DOI: 10.1016/j.autcon.2018.02.011
      Issue No: Vol. 89 (2018)
  • A wireless sensor network prototype for post-occupancy troubleshooting of
           building systems
    • Authors: Sarah Noye; Robin North; David Fisk
      Pages: 225 - 234
      Abstract: Publication date: May 2018
      Source:Automation in Construction, Volume 89
      Author(s): Sarah Noye, Robin North, David Fisk
      The correct commissioning of mechanical and electrical services is critical to new buildings' performance, but there is seldom sufficient time available to complete this skilled-labour intensive task. Accumulated delays from the rest of the project eat into the available time and there can be little left to complete commissioning before the handover. No provision for post-occupancy commissioning would be made either. It is argued that the process would be improved if commissioning engineers had access to good monitoring data, but that the main building energy management system is seldom suitable for this purpose. The practicality and limitations of using a network of wireless sensors as a portable enhanced intensive monitoring regime are explored by constructing and testing a prototype system. On the basis of a deployment in a field trial, a number of design constraints are identified. However, results show the major potential of this approach in post-occupancy commissioning.

      PubDate: 2018-02-25T16:00:52Z
      DOI: 10.1016/j.autcon.2017.12.025
      Issue No: Vol. 89 (2018)
  • BIM-based automated design and planning for boarding of light-frame
           residential buildings
    • Authors: Hexu Liu; Gurjeet Singh; Ming Lu; Ahmed Bouferguene; Mohamed Al-Hussein
      Pages: 235 - 249
      Abstract: Publication date: May 2018
      Source:Automation in Construction, Volume 89
      Author(s): Hexu Liu, Gurjeet Singh, Ming Lu, Ahmed Bouferguene, Mohamed Al-Hussein
      Building information modelling technology provides a game-changing solution to address the challenges encountered in the AEC industry. However, this technology currently is not sufficient to fulfil the needs of construction practitioners in terms of proactive design and planning for boarding of light-frame residential buildings. This is partially due to the fact that boarding design and planning requires trades' know-how and substantial manual effort in developing the building information models. Current manual and ad hoc decision making for boarding of light-frame buildings leads to the generation of a significant amount of material waste. This research thus proposes a rule-based automated building information model (BIM) approach for designing boarding layout and planning material sheet cutting, resulting in practically feasible solutions with minimal material waste. In this research, object-based computer-processable layout design rules are comprehensively formalised based on trades' know-how. On this basis, rule-based design algorithms are further developed and integrated with mathematical algorithms in order to automatically generate design and planning alternatives while minimising material waste. Rich information in the BIM is leveraged to automate the rule-based boarding design and planning. A prototype system is developed based on Autodesk Revit via Application Programming Interface. A typical wood-framed residential building is used as a case study to test the developed prototype system. The results show the proposed approach successfully preserves the know-how of senior trades people while also minimising material waste in automating the boarding design and planning.

      PubDate: 2018-02-25T16:00:52Z
      DOI: 10.1016/j.autcon.2018.02.001
      Issue No: Vol. 89 (2018)
  • Lighted-weighted model predictive control for hybrid ventilation operation
           based on clusters of neural network models
    • Authors: Jianli Chen; Godfried Augenbroe; Xinyi Song
      Pages: 250 - 265
      Abstract: Publication date: May 2018
      Source:Automation in Construction, Volume 89
      Author(s): Jianli Chen, Godfried Augenbroe, Xinyi Song
      As one of the most significant factors to determine the success of a hybrid ventilation building, the control strategy for the hybrid ventilation operation attracts increasing attentions from both building designers and researchers these years. Recent advancements of the building control strategy have shown the potential to improve the hybrid ventilation operation. In this paper, we demonstrate the development of an advanced data-driven model predictive control (MPC) algorithm, i.e. a light-weighted three phase NN (neural network) model, for controlling the operation of hybrid ventilation buildings. To develop a robust model predictive control algorithm, firstly, different levels of uncertainties that commonly exist in the real world and building simulation are quantified to efficiently train the central model of the MPC and thoroughly test it in the future. In addition, in the model predictive control establishment process, four candidate mathematical models and ten prediction variables were analyzed during the MPC development to investigate its performance on the prediction as well. The results show that the neural network (NN) achieves the best performance considering both prediction performance and computation time. Six variables including the indoor and outdoor air temperature, relative humidity, office and season index and wind speed were finally chosen. At last, we conduct the validation of the algorithm for hybrid ventilation across four cities in different US climates under uncertainties presented in real practice. The comparison between the MPC and the rule-based control clearly presents that the developed MPC could be better at maintaining the thermal comfort of hybrid ventilation buildings while achieving a comparable amount of energy savings.

      PubDate: 2018-02-25T16:00:52Z
      DOI: 10.1016/j.autcon.2018.02.014
      Issue No: Vol. 89 (2018)
  • Spall damage repair using 3D printing technology
    • Authors: Jaeheum Yeon; Julian Kang; Wei Yan
      Pages: 266 - 274
      Abstract: Publication date: May 2018
      Source:Automation in Construction, Volume 89
      Author(s): Jaeheum Yeon, Julian Kang, Wei Yan
      Concrete road surfaces may crack due to shrinkage from drying. Often, cracks are induced at predetermined locations to solve this problem. However, the impact loads from vehicles are concentrated on these pre-induced transverse joints, often resulting in palm-sized spall damage. Repairing this damage with cast-in-place concrete leads to indirect losses from road blockages that occur during curing. This research presents a new method of repairing spall damage that minimizes indirect loss. A three-dimensional concrete patch is prepared in advance and placed over the damaged area. When using cast-in-place concrete to repair spall damage, road use must be restricted for a minimum of seven days. The proposed method reduces road closure to 2 h. According to the US Department of Transportation guidelines, the proposed method is estimated to reduce indirect losses from road repair from USD $140,000 to USD $1700. A three-dimensional concrete patch attached to a damaged surface can withstand a shear load of up to 15.7 MPa. The proposed method can withstand at least 91% of this load. Moreover, given the friction between the patch and the damaged surface, the structural stability of a concrete patch in response to shear loads may be even greater than 91%. This study presents the proposed methodology and discusses its economic value and structural practicality.

      PubDate: 2018-02-25T16:00:52Z
      DOI: 10.1016/j.autcon.2018.02.003
      Issue No: Vol. 89 (2018)
  • Landscape of connectivity. Measuring and representing fluctuations in
           wireless network traffic in space
    • Authors: Selena Savić; Louis David Jean Magarshack; Jeffrey Huang
      Pages: 275 - 291
      Abstract: Publication date: May 2018
      Source:Automation in Construction, Volume 89
      Author(s): Selena Savić, Louis David Jean Magarshack, Jeffrey Huang
      Measuring and understanding the propagation of wireless network signals in buildings is an important task for the planning of both architecture and wireless networks. This article documents an approach to understanding the wireless network traffic load in a location-specific manner, based on the users. The traffic counting system enables relating of traffic load (both cellular and Wi-Fi) to a position in space, using Connect or Not smartphone application. Positioning tracking is based on two technologies: Wi-Fi fingerprints, created using existing networking infrastructure and Bluetooth beacons installed at testing locations. The positioning system is able to track movement through space to a satisfactory level. The system was tested in the context of interactive installations as well as long-term observations of user behaviour in space. These experiments facilitate the conceptualization of a communication landscape, highlighting the activity of people and devices in the network layer. The system can, thus, be useful for post-occupancy evaluations. Moreover, it enables a profound understanding of signal propagation and use patterns in space. We argue that the compound measurement of these two phenomena, which are rarely related, forms a productive base for understanding the relevance of built architecture for the design of wireless infrastructures, and vice versa.

      PubDate: 2018-02-25T16:00:52Z
      DOI: 10.1016/j.autcon.2018.02.010
      Issue No: Vol. 89 (2018)
  • An algorithm for automatic localization and detection of rebars from GPR
           data of concrete bridge decks
    • Authors: Kien Dinh; Nenad Gucunski; Trung H. Duong
      Pages: 292 - 298
      Abstract: Publication date: May 2018
      Source:Automation in Construction, Volume 89
      Author(s): Kien Dinh, Nenad Gucunski, Trung H. Duong
      Picking rebars manually in the data from ground penetrating radar (GPR) surveys of concrete bridge decks is time consuming and labor intensive. This paper presents an automated rebar localization and detection algorithm for performing this task. The proposed methodology is based on the integration of conventional image processing techniques and deep convolutional neural networks (CNN). In the first step, the image processing methods, such as the migration, normalized cross correlation and thresholding, are used to localize pixels containing potential rebar peaks. In the second step, windowed images surrounding the potential pixels are first extracted from the raw GPR scans involved in the first step. Those are then classified by a trained CNN. In the process, likely true rebar peaks are recognized and retained, whereas likely false positive detections are discarded. The implementation of the proposed system in the analysis of GPR data for twenty-six bridge decks has shown excellent performance. In all cases, the accuracy of the proposed system has been greater than 95.75%. The overall accuracy for the entire deck library was found to be 99.60% ± 0.85%.

      PubDate: 2018-02-25T16:00:52Z
      DOI: 10.1016/j.autcon.2018.02.017
      Issue No: Vol. 89 (2018)
  • Robotic application of foam concrete onto bare wall elements - Analysis,
           concept and robotic experiments
    • Authors: E. Lublasser; T. Adams; A. Vollpracht; S. Brell-Cokcan
      Pages: 299 - 306
      Abstract: Publication date: May 2018
      Source:Automation in Construction, Volume 89
      Author(s): E. Lublasser, T. Adams, A. Vollpracht, S. Brell-Cokcan
      In the course of frequently altering energy saving regulations, numerous buildings have to be comprehensively refurbished to meet the rising energy-efficiency standards in order to protect the global environment and to save resources. However, available materials as well as adaptable design concepts for additional energy-saving insulation layers are not yet convincing in terms of their long term recyclability or variation of shape. Therefore, we investigate the application of foam concrete onto bare walls of existing buildings to gain a façade finish which is highly insulating, easily recyclable and at the same time promises to be individually designable due to the properties of the raw material mixture. To ensure controllable as well as reproducible application and to react to changing working methods in architecture and construction, the research focuses on the automatized application of foam concrete using a robotic setup. We analyzed manual application strategies of foam concrete, considering parameters of handcraft, used tools as well as the reaction on varying material characteristics during application. Based on the analysis results, we present a concept for the robotic application of foam concrete, including suggestions regarding end effectors, robot programming and surface design planning.

      PubDate: 2018-02-25T16:00:52Z
      DOI: 10.1016/j.autcon.2018.02.005
      Issue No: Vol. 89 (2018)
  • Water quality monitoring in smart city: A pilot project
    • Authors: Yiheng Chen; Dawei Han
      Pages: 307 - 316
      Abstract: Publication date: May 2018
      Source:Automation in Construction, Volume 89
      Author(s): Yiheng Chen, Dawei Han
      A smart city is an urban development vision to integrate multiple information and communication technology (ICT), “Big Data” and Internet of Things (IoT) solutions in a secure fashion to manage a city's assets for sustainability, resilience and liveability. Meanwhile, water quality monitoring has been evolving to the latest wireless sensor network (WSN) based solutions in recent decades. This paper presents a multi-parameter water quality monitoring system of Bristol Floating Harbour which has successfully demonstrated the feasibility of collecting real-time high-frequency water quality data and displayed the real-time data online. The smart city infrastructure – Bristol Is Open was utilised to provide a plug & play platform for the monitoring system. This new system demonstrates how a future smart city can build the environment monitoring system benefited by the wireless network covering the urban area. The system can be further integrated in the urban water management system to achieve improved efficiency.

      PubDate: 2018-02-25T16:00:52Z
      DOI: 10.1016/j.autcon.2018.02.008
      Issue No: Vol. 89 (2018)
  • Integrating geometric models, site images and GIS based on Google Earth
           and Keyhole Markup Language
    • Authors: Duanshun Li; Ming Lu
      Pages: 317 - 331
      Abstract: Publication date: May 2018
      Source:Automation in Construction, Volume 89
      Author(s): Duanshun Li, Ming Lu
      Technologies for information management and visualization are instrumental in enhancing human perceptions and interpretations of complicated project information. 3D/4D modeling, Virtual Reality (VR), Building Information Models (BIM) and Geographical Information Systems (GIS) have been increasingly used for data management and analytics in construction. Apart from virtual models, it is essential to represent the ever-changing site reality by integrating images captured with drones, mobile devices, and digital cameras. To improve the cognitive perception of the site environment from fragmented datasets, this paper proposes a framework to integrate unordered images, geometric models and surrounding environment in Google Earth using Keyhole Markup Language (KML). A ground-control-free methodology to geo-reference sequential aerial imageries and ground imageries is proposed in order to place unordered images into the physical coordinate system of Google Earth. To combine geometric models, site images and panoramic images with the site surrounding environment in 3D GIS, a KML and cloud storage based data management system is conceptualized to handle large scale datasets. The research provides construction engineers with a low-cost and low-technology-barrier solution to represent a dynamic construction site through information management, integration and visualization.

      PubDate: 2018-02-25T16:00:52Z
      DOI: 10.1016/j.autcon.2018.02.002
      Issue No: Vol. 89 (2018)
  • Design for Manufacture and Assembly-oriented parametric design of
           prefabricated buildings
    • Authors: Zhenmin Yuan; Chengshuang Sun; Yaowu Wang
      Pages: 13 - 22
      Abstract: Publication date: April 2018
      Source:Automation in Construction, Volume 88
      Author(s): Zhenmin Yuan, Chengshuang Sun, Yaowu Wang
      Many design systems are developed in the context of non-prefabricated buildings, and cannot be well suitable for prefabricated buildings which are being popular at present. In order to solve the problem, this paper introduces Design for Manufacture and Assembly (DFMA) into prefabricated building design, and combines it with parametric design of Building Information Modeling (BIM) to develop the concept and process of DFMA-oriented parametric design. For making DFMA-oriented parametric design implemented better, DFMA-oriented architectural design team, precast component creation process based on family template and DFMA, DFMA-oriented BIM re-development process, and optimization process of DFMA-oriented prefabricated building information model are also explored and developed. In the end, some principles of DFMA-oriented parametric design are partially reflected by several examples, and DFMA-oriented parametric design needs to be constantly improved according to its subsequent actual use.

      PubDate: 2018-02-04T21:21:45Z
      DOI: 10.1016/j.autcon.2017.12.021
      Issue No: Vol. 88 (2018)
  • 3D reconstruction of a concrete mixer truck for training object detectors
    • Authors: Hongjo Kim; Hyoungkwan Kim
      Pages: 23 - 30
      Abstract: Publication date: April 2018
      Source:Automation in Construction, Volume 88
      Author(s): Hongjo Kim, Hyoungkwan Kim
      Vision-based monitoring methods have been actively studied in the construction industry because they can be used to automatically generate information related to progress, productivity, and safety. Object detection is essentially used in such monitoring methods to infer jobsite context. However, as many classes of construction entities exist in a job site, large amounts of image data are required to train a detection algorithm to detect each class object in images. Although image data augmentation methods using 3D models were proposed, publicly available 3D models are limited to some construction object classes. Therefore, this study proposes a three-dimensional reconstruction method to generate the image data required for training object detectors. To use the generated synthetic images as training data, a histogram of oriented gradient (HOG) descriptor of a target object is obtained from these images. The descriptor is refined by a support vector machine to increase sensitivity to the target object in test images. The performance of the HOG-based object detector is evaluated using real images from ImageNet. The result shows that the proposed method can generate training data more effectively than existing manual data collection practices.
      Graphical abstract image

      PubDate: 2018-02-04T21:21:45Z
      DOI: 10.1016/j.autcon.2017.12.034
      Issue No: Vol. 88 (2018)
  • Enhancing the safety of construction crew by accounting for brain resource
           requirements of activities in job assignment
    • Authors: Alireza Ahmadian Fard Fini; Ali Akbarnezhad; Taha H. Rashidi; S. Travis Waller
      Pages: 31 - 43
      Abstract: Publication date: April 2018
      Source:Automation in Construction, Volume 88
      Author(s): Alireza Ahmadian Fard Fini, Ali Akbarnezhad, Taha H. Rashidi, S. Travis Waller
      Safety management is regarded traditionally as an aggregate attribute for Human Resources (HR) in which the focus is placed on safety of construction crew by assuming same behaviour, capabilities and thus level of exposure to risk for all workers in the crew. In line with this, a team-based approach is generally adopted for task assignment to workers in construction operations. However, this approach tends to disregard the differences between skill level, experience, capabilities, learning rates and fatigue rates of different individual workers forming the team. In particular, due to differences in visual, auditory, cognitive and psychomotor capabilities of different workers and brain resource demands of different activities, the traditional approach may result in inconsistent workloads and uneven fatigue rates within a crew, affecting the workers' and crew's safety negatively. This paper proposes a novel framework for task assignment to construction workers in which safety of individual workers and thus the crew is ensured through optimizing workload distributions within a crew. The framework computes visual, auditory, cognitive, and psychomotor requirements of the jobs assigned to a worker and minimizes the identified workload imbalances through collaborative execution of shared tasks. The application of the proposed framework is examined on a pipe spool fabrication operation of a refinery project in a simulation environment.

      PubDate: 2018-02-04T21:21:45Z
      DOI: 10.1016/j.autcon.2017.12.013
      Issue No: Vol. 88 (2018)
  • 6D DBSCAN-based segmentation of building point clouds for planar object
    • Authors: T. Czerniawski; B. Sankaran; M. Nahangi; C. Haas; F. Leite
      Pages: 44 - 58
      Abstract: Publication date: April 2018
      Source:Automation in Construction, Volume 88
      Author(s): T. Czerniawski, B. Sankaran, M. Nahangi, C. Haas, F. Leite
      Due to constraints in manufacturing and construction, buildings and many of the manmade objects within them are often rectangular and composed of planar parts. Detection and analysis of planes is, therefore, central to processing point clouds captured in these spaces. This paper presents a study of the semantic information stored in the planar objects of noisy building point clouds. The dataset considered is the Scene Meshes Dataset with aNNotations (SceneNN), a collection of over 100 indoor scenes captured by consumer-grade depth cameras. All planar objects within the dataset are detected using a new point cloud segmentation method that applies Density Based Spatial Clustering of Applications with Noise (DBSCAN) in a six dimensional clustering space. With all planes isolated, an extensive list of features describing the planes is extracted and studied using feature selection. Then dimensionality reduction and unsupervised learning are used to explore the discriminative ability of the final feature set as well as emergent class groupings. Finally, we train a bagged decision tree classifier that achieves 71.2% accuracy in predicting the object class from which individual planes originate.

      PubDate: 2018-02-04T21:21:45Z
      DOI: 10.1016/j.autcon.2017.12.029
      Issue No: Vol. 88 (2018)
  • Minimizing duration and crew work interruptions of repetitive construction
    • Authors: Ayman Altuwaim; Khaled El-Rayes
      Pages: 59 - 72
      Abstract: Publication date: April 2018
      Source:Automation in Construction, Volume 88
      Author(s): Ayman Altuwaim, Khaled El-Rayes
      This paper presents the development of a novel scheduling model for minimizing the duration and crew work interruptions of repetitive construction projects. The main contributions of the developed model are its ability to (1) generate early and late start schedules that minimize the duration of repetitive construction projects while keeping the total work interruptions of their utilized crews to a minimum; (2) calculate novel types of crew work-continuity floats that consider the impact of delaying the early start of repetitive activities on crew work continuity; (3) develop a wide range of intermediate schedules between the early and late start schedules that maintain the least project duration and minimum total crew work interruptions; and (4) compare shortest duration schedules with and without interruptions to identify the best schedule that fits the specific project needs. The model performance was evaluated using an application example of a repetitive construction project.

      PubDate: 2018-02-04T21:21:45Z
      DOI: 10.1016/j.autcon.2017.12.024
      Issue No: Vol. 88 (2018)
  • An IoT-based autonomous system for workers' safety in construction sites
           with real-time alarming, monitoring, and positioning strategies
    • Authors: Riad Kanan; Obaidallah Elhassan; Rofaida Bensalem
      Pages: 73 - 86
      Abstract: Publication date: April 2018
      Source:Automation in Construction, Volume 88
      Author(s): Riad Kanan, Obaidallah Elhassan, Rofaida Bensalem
      Civil construction sites are considered as one of the riskiest environments where many potential hazards may occur. To protect construction workers and prevent accidents in such sites, this paper proposes a novel design for an autonomous system that monitors, localizes, and warns site laborers who avail within danger zones. The proposed system is user-friendly, and its architecture is based on Internet of Things (IoT). The heterogeneous components of this architecture are seamlessly integrated into a middleware backend online server. To accurately detect and identify construction workers, the proposed system employs three combined techniques. They are 1) the 868MHz radio frequency, 2) directional antennas, and 3) the 40kHz ultrasound waves. Vehicle's rear is secured by a sensing unit that ensures good coverage along with a wearable device for workers. The design of the wearable device includes a set of components which are a radio transceiver (transmitter/receiver), a wake-up sensor, an alarm actuator, and a GPRS module. The wearable device has a power saving scheme with a current consumption as low as 0.5μA at 3V supply; thanks to our RF wake-up sensor. Via proximity, this wearable device becomes hybrid (active/passive) in which it remains in deep sleep mode until the presence of a radio frequency (RF) field. Consequently, the rechargeable battery's life gets increased by up to 2days of autonomy before recharging. Furthermore, the paper presents an implementation of wireless nodes that are powered by light energy using photovoltaic cells. These nodes adopt energy management and storage schemes for continuous operation for indoor and outdoor environments.

      PubDate: 2018-02-04T21:21:45Z
      DOI: 10.1016/j.autcon.2017.12.033
      Issue No: Vol. 88 (2018)
  • Analysing real world data streams with spatio-temporal correlations:
           Entropy vs. Pearson correlation
    • Authors: Maria Bermudez-Edo; Payam Barnaghi; Klaus Moessner
      Pages: 87 - 100
      Abstract: Publication date: April 2018
      Source:Automation in Construction, Volume 88
      Author(s): Maria Bermudez-Edo, Payam Barnaghi, Klaus Moessner
      Smart Cities use different Internet of Things (IoT) data sources and rely on big data analytics to obtain information or extract actionable knowledge crucial for urban planners for efficiently use and plan the construction infrastructures. Big data analytics algorithms often consider the correlation of different patterns and various data types. However, the use of different techniques to measure the correlation with smart cities data and the exploitation of correlations to infer new knowledge are still open questions. This paper proposes a methodology to analyse data streams, based on spatio-temporal correlations using different correlation algorithms and provides a discussion on co-occurrence vs. causation. The proposed method is evaluated using traffic data collected from the road sensors in the city of Aarhus in Denmark.

      PubDate: 2018-02-04T21:21:45Z
      DOI: 10.1016/j.autcon.2017.12.036
      Issue No: Vol. 88 (2018)
  • Integration of parametric design into modular coordination: A construction
           waste reduction workflow
    • Authors: Saeed Banihashemi; Amir Tabadkani; M. Reza Hosseini
      Pages: 1 - 12
      Abstract: Publication date: April 2018
      Source:Automation in Construction, Volume 88
      Author(s): Saeed Banihashemi, Amir Tabadkani, M. Reza Hosseini
      The construction industry is under pressure as to reduce the sizable quantities of construction waste generated during construction operations. Modular coordination (MC) and parametric design both have great potentials in reducing waste at the design stage. And anecdotal evidence suggests that great volumes of waste can be reduced through integration of parametric design into MC. The issue of proposing workflows in this context, however, is under-researched, and practical applications, if any, are at the rhetorical stage. To accomplish this, an integration attempt is made in this study to provide the details of a developed-and-experimented workflow for this purpose; a generative algorithm is developed through the Rhinoceros 3D–Grasshopper platform, subject to MC rules. Two sets of horizontal and vertical modules are obtained from a prototype model, while an evolutionary solver function is applied in reducing the generated construction waste volume. According to a pre-defined standard specification, different modular design variants that fully conform to the design constraints in modules array are developed, providing an operational workflow in construction waste reduction at the design stage. Introducing this workflow, and how the proposed workflow reduces the volume of post-optimization paneling waste by 2% at its minimum are the major findings here. The insights derived from this study, would promote the interest of both the construction practitioners and researchers; the practicality of integrating parametric design into MC is proven.

      PubDate: 2017-12-26T18:22:06Z
      DOI: 10.1016/j.autcon.2017.12.026
      Issue No: Vol. 88 (2017)
  • A GBMO-based PIλDμ controller for vibration mitigation of
           seismic-excited structures
    • Authors: Sadegh Etedali; Abbas-Ali Zamani; Saeed Tavakoli
      Pages: 1 - 12
      Abstract: Publication date: March 2018
      Source:Automation in Construction, Volume 87
      Author(s): Sadegh Etedali, Abbas-Ali Zamani, Saeed Tavakoli
      The advantages of fractional-order proportional–integral–derivative (FOPID) controllers in terms of flexibility, robustness against model uncertainties and good disturbance rejection, are good motivations to use them for vibration mitigation of seismic-excited structures. The application of the FOPID controller for adjusting the control force of an active tuned mass damper (ATMD) for seismic control a building is studied in this paper. Gases Brownian motion optimization (GBMO) algorithm is employed for optimal tuning of parameters of the FOPID and PID controllers. Evaluation of the frequency responses of the structure for uncontrolled and controlled cases shows that PID and FOPID controllers are very effective for the seismic control of structures. For further investigation, the performance of the FOPID controller in the reduction of seismic responses of the building in four well-known earthquake excitations is compared with those provided by the PID, linear–quadratic regulator (LQR) and fuzzy logic control (FLC). Simulation results show that the PID and LQR controllers provide the same performance in reducing the maximum top floor displacement of the structure. Moreover, the FLC and FOPID controllers demonstrate a superior performance in seismic control of the structure. The FLC is able to reduce the maximum displacements of all stories for all studied earthquakes. However, the proposed FOPID controller is able to provide a better performance in comparison with the FLC. In average, the FOPID controller mitigates the seismic responses of the structure as much as 29%, 27% and 15% better than the LQR, PID controller and FLC.

      PubDate: 2017-12-13T09:37:25Z
      DOI: 10.1016/j.autcon.2017.12.005
      Issue No: Vol. 87 (2017)
  • Design-by-analogy: A characteristic tree method for geotechnical
    • Authors: ZhiJia You; HouLi Fu; Jian Shi
      Pages: 13 - 21
      Abstract: Publication date: March 2018
      Source:Automation in Construction, Volume 87
      Author(s): ZhiJia You, HouLi Fu, Jian Shi
      Geotechnical engineers frequently use design-by-analogy methods to promote innovative design solutions, or reuse existing design schemes. However, this approach has not yet provided a means for comparing various potential project solutions quantitatively. Moreover, while geotechnical engineering has accumulated data in large quantities, the value of this historical data has not been exploited fully for the identification of useful analogies. To address these challenges, we proposed the characteristic tree analogy method and a key algorithm for calculating the similarity index between objects. On this basis, we developed a decision support system that makes comprehensive use of geotechnical engineering historical data. We applied the system successfully to the roadway support design for Liangjia coal mine. The results verified the applicability of the characteristic tree analogy method for realizing geotechnical engineering designs, making maximum use of historical data. This approach can be extended to other areas of geotechnical engineering that have large quantities historical data.

      PubDate: 2017-12-13T09:37:25Z
      DOI: 10.1016/j.autcon.2017.12.008
      Issue No: Vol. 87 (2017)
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