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Synthetic evaluation method for bridge priority ranking

Wang, Ying and Ou, Jinping 2012, Synthetic evaluation method for bridge priority ranking, in ASEC 2012 : Past, Present and Future of Structural Engineering : Proceedings of the Australasian Structural Engineering Conference, Engineers Australia, Melbourne, Vic., pp. 1-8.

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Title Synthetic evaluation method for bridge priority ranking
Author(s) Wang, Ying
Ou, Jinping
Conference name Australasian Structural Engineering. Conference (2012 : Perth, Western Australia)
Conference location Perth, Western Australia
Conference dates 11-13 Jul. 2012
Title of proceedings ASEC 2012 : Past, Present and Future of Structural Engineering : Proceedings of the Australasian Structural Engineering Conference
Editor(s) [Unknown]
Publication date 2012
Conference series Australasian Structural Engineering Conference
Start page 1
End page 8
Total pages 8
Publisher Engineers Australia
Place of publication Melbourne, Vic.
Keyword(s) priority ranking
synthetic evaluation
economic analysis
improved entropy method
Summary In order to maintain the transportation operation, proper monitoring systems should be established on road structures, especially bridges. Since these systems need enormous investments, only a part of bridges should be equipped. Thus, the priorities of the bridges should be ranked. In this paper, a method based on two-level synthetic evaluation is proposed. First, the importance of each bridge is analyzed through the economic analysis. Six factors are considered for the bridges in a network, including construction cost, service duration, length, location importance coefficient, traffic volume, and reconstruction time. Second, the safety condition of the bridge is evaluated by using improved entropy method (IEM) which combines subjective weight with objective entropy weight. Five indices are incorporated in this step, i.e., design and construction condition, technical condition, level of overloading, hazard of wind and earthquake and environmental factors. Finally, the priorities of all the bridge in one network can be ranked and classified through a judge matrix. To demonstrate the effectiveness of the proposed method, a main highway including 16 bridges is taken as an illustrative example. The results show that the bridges can be ranked and classified quickly by using the proposed method.
Language eng
Field of Research 090506 Structural Engineering
Socio Economic Objective 880106 Road Infrastructure and Networks
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2012, Engineers Australia
Persistent URL http://hdl.handle.net/10536/DRO/DU:30051765

Document type: Conference Paper
Collection: School of Engineering
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