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Chung Yan Shih, Shih-Lin Hung, James H. Garrett Jr., Lucio Soibelman, and Jia Shin Dai

Steel Bridge Corrosion Detection By Wavelet Transform Theory

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Series: w78:2006 (browse)
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Dai W, Oakes S

Knowledge-based code checking programfor building design

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Series: w78:1997 (browse)
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Dijkstra J, Timmermans H, B de Vries

VR based simulation of user behaviour within the built environment to support the early stages of building design

Abstract: Architects are often faced with the problem to assess how their design decisions will affect the behaviour of individuals. Various performance indicators are related to the behaviour of individuals in particular environments. One approach to deal with this problem is to develop a system that relates user behaviour to design parameters. The paper discusses the framework of a multi-agent system approach for investigating visualized simulated pedestrian activity and behaviour within a building. The approach will lead to a system that may serve as a toolkit in the design process for a better understanding what the design look like, and perhaps more importantly have users will behave in that particular environment. Agent technology is derived from DAI which is also applied in the construction industry (Onuegbu O. Ugwu e.a., The application of DAI in the construction industry, CIT2000, pp. 959-970). The concept of this system is based on micro-simulation of pedestrian flows and multi-agent technology. In this context, pedestrians are people navigating within the built environment. The system simulates how agents move around in a particular 3D environment, in which space is represented as a network which is a lattice of cells with local states, subject to a uniform set of rules, which drives the behaviour of the system. Agents represent pedestrians with their own behaviour, moving over the network. The 3D environment is a virtual environment of the design of a new building or the revitalization of an existing building. Thus, a virtual building environment with virtual pedestrians will be constructed using multi-agent simulation. In this particular environment, a set of instances corresponding to the elements of multi-agent simulations is designed. We distinguish user-agents that represent pedestrians in the simulation. We call the individual that is supposed to walk through the environment a subject-agent and all other simulated pedestrians in the system actor-agents. Thus, subject-agent and actor-agents are user-agents that navigate in this virtual environment, each with their own behaviour, beliefs and intentions. With the simulation system, we will get more insight into the pedestrian activity behaviour and thus in the pedestrian flows in buildings, not yet existing. This will be of great importance in the assessment of design performance. For a designer or researcher, this system approach results in a decision support tool for the early stages in the design process of the construction of a building.

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Full text: content.pdf (484,430 bytes) (available to registered users only)

Series: w78:2001 (browse)
Cluster: papers of the same cluster (result of machine made clusters)
Class: class.environment (0.029736) class.analysis (0.014083) class.impact (0.008671)
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Permission to reproduce these documents have been graciously provided by CSIR Building and Construction Technology. The assistance of the editors, Mr. Gustav Coetzee and Mr. Frances Boshoff, is gratefully appreciated.


Jiayu Chen, Fei Dai and Zejun Chen

Assessing Construction Workers' Vigilance Level Through Wearable Electroencephalography System

Abstract: Construction industry requires constant caution on construction labors when they expose to hazardous environments. Although received fundamental safety training, construction workers tend to insensitive to hazards because of their long time exposures to risks. Many construction workers take unsafe behavior when they wrongly estimated the potential risks. Therefore, the discrepancy between the environment risks and workers' perceived risks is the major cause of unsafe behaviors. However, current assessing approaches are subjective and post-hoc. In this paper, we proposed a wearable Electroencephalography (EEG) system to quantitatively and objectively assess the construction workersÕ vigilance level for perceived risks. With such data acquisition approach, the construction workers' risk perception can be further understood and guide the safety training programs in future.

Keywords: Construction Safety, EEG, Vigilance, Wearable

DOI: https://doi.org/10.24928/JC3-2017/0030

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R Hough, F Dai

Characterizing Strategies of Fixing Full-Scale Models in Construction Photogrammetric Surveying

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Full text: content.pdf (738,018 bytes) (available to registered users only)

Series: w78:2014 (browse)
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Ugwu O O, Anumba C J, Newnham L, Thorpe A

The application of DAI in the construction industry

Abstract: This paper reviews the application of distributed artificial intelligence (DAI) techniques in the construction industry. DAI is concerned with understanding and modelling action and knowledge in collaborative and geographically distributed enterprises. The metaphor of a functionally distributed organisation immediately makes DAI techniques suitable for solving some of the complex problems often encountered in the construction industry. Some authors have suggested that the industry can learn useful lessons from the application of DAI in other industry sectors such as manufacturing and adapt these techniques to improve collaborative working especially in distributed design environments. The paper reviews the current state-of-the-art and potential applications of DAI in improving collaborative working and distributed decision-making in the construction industry. The study shows that there is limited application of DAI techniques in construction although a number of research projects are now beginning to look into it. In contrast, DAI is used for a range of application in other sectors notably manufacturing, and ideas from DAI are being applied for distributed decision-making in different fields such as: computer-supported co-operative working (CSCW), computer-aided design (CAD) and concurrent engineering. It concludes that DAI has many potential applications in such areas as collaborative/concurrent design and management, electronic commerce, and knowledge management in the construction sector. The paper gives some recommendations for further research in DAI within the construction sector.

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Full text: content.pdf (262,476 bytes) (available to registered users only)

Series: w78:2000 (browse)
Cluster: papers of the same cluster (result of machine made clusters)
Class: class.communication (0.062762) class.deployment (0.042792) class.synthesis (0.027252)
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Permission to reproduce these documents have been graciously provided by Icelandic Building Research Institute. The assistance of the editor, Mr. Gudni Gudnason, is gratefully appreciated


W Peng, F Dai, E Taciroglu

Research on Mechanism of Overturning Failure for Single-Column Pier Bridge

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Series: w78:2014 (browse)
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Y Feng, F Dai

Evaluation of Stereo Matching Algorithms for Temporary Structure Monitoring

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Youyi Feng, Fei Dai and Jiaqing Zhao

Comparing Feature Matching Algorithms for Measuring In-Plane Strains on Civil Infrastructures

Abstract: Maintaining structural integrity of civil infrastructures such as bridges and tunnels is always an essential task for civil engineers. Collapse or damage of these infrastructures may lead to a tremendous amount of painful injuries, casualties, and societal losses. This paper reported the work on evaluating optimal feature matching algorithms for development of visual sensing-based techniques to measure in-plane deflections and strains in order to facilitate monitoring and evaluation of integrity of civil infrastructures in a cost-effective way. A series of experiments were conducted in which three algorithms Digital Image Correlation (DIC), Scale-Invariant Feature Transform (SIFT) and Speeded-Up Robust Features (SURF) were compared. The result indicated that DIC has superiority among the three algorithms. To further assess the accuracy of DIC, a high-speed industrial camera was then used to capture a series of continuous image frames of deformed real-world scenarios. The DIC algorithm was adopted in the feature detection and tracking process, and in-plane displacement and strains were calculated and compared with the ground truth. The result indicated that the DIC-based method can achieve highly accurate performance in measuring in-plane deflections and strains for civil infrastructures and holds potential to the development of visual sensing enabled structural health monitoring.

Keywords: Image-Based Methods, Structural Health Monitoring, Visual Sensing, Non-Contact Measurements, Comparative Study

DOI: https://doi.org/10.24928/JC3-2017/0165

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