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C A Haocheng, J Lu, H Li, J Song, K Chen, A Zhao

Programming Module for Making Report in Bridge Loading Test

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Full text: content.pdf (506,445 bytes) (available to registered users only)

Series: w78:2014 (browse)
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J P Zhang, Q Liu, F Q Yu, Z Z Hu, W Z Zhao

A Framework of Cloud-Computing-Based BIM Service for Building Lifecycle

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Liu Huafeng, Zhao Ning

Study On Tall Building Structure Analysis

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Full text: content.pdf (440,429 bytes) (available to registered users only)

Series: w78:2006 (browse)
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Luc Chouinard, Richard Larivière, Patrice Côté, Wendong Zhao

Analysis Of Irreversible Displacements In A Multiple Arch Concrete Dam Using Principal Component Analysis

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X Z Zhao, R H Wang, K Shea

The Computational Generation and Realization of Spatial Truss Structures

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Yewande Abraham, Zhidan Zhao, Chimay Anumba and Somayeh Asadi

Implementation of a Preference Monitoring Application for office Building Occupants

Abstract: Buildings should provide a level of comfort that is acceptable to majority of the occupants and enhance their health and productivity. When indoor environmental conditions are not as good as expected, occupants sometimes make adjustments. In order to capture and monitor occupant preferences and occupant behavior indoors, a feedback system- Preference Monitoring Application (PMA) was created. With the PMA, energy use behavior and occupant preference data are collected on a continuous basis while energy consumption and indoor environmental parameters are being monitored separately in a building. The PMA was developed by identifying the values that are important to building occupants and following recommendations from other indoor environmental quality surveys. It is a simple application that captures satisfaction with temperature, lighting, indoor air quality and other parameters that influence occupant comfort and behavior on a continuous basis by using human input. A comparison of the feedback from 10 occupants in an office building in Pennsylvania, USA and 14 occupants in an office building in Doha, Qatar over 7 months are presented in this paper. This can enable the use of actual data to develop occupant profiles to improve occupant satisfaction.

Keywords: Occupant Feedback, Occupant Behavior, Satisfaction, Values

DOI: https://doi.org/10.24928/JC3-2017/0201

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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

Full text: content.pdf (970,277 bytes) (available to registered users only)

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