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Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.101 P.297~308


Condition assessment of long span cable-stayed bridge

Author(s):  Wu Hua-Cheng, Xiang Yi-Qiang, Wang Jin-Feng

Affiliation(s):  Institute of Architecture and Civil Engineering, Zhejiang University, Hangzhou 310027, China; more

Corresponding email(s):   wuhuacheng0@163.com, Xiangyiq0@sina.com

Key Words:  Cable-stayed bridge, Cable tension, Optimization, Analytic hierarchy process, Condition assessment, Correlation of slope coefficient, Balanced coefficient

Wu Hua-Cheng, Xiang Yi-Qiang, Wang Jin-Feng. Condition assessment of long span cable-stayed bridge[J]. Journal of Zhejiang University Science A, 2006, 7(101): 297~308.

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journal="Journal of Zhejiang University Science A",
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%A Wu Hua-Cheng
%A Xiang Yi-Qiang
%A Wang Jin-Feng
%J Journal of Zhejiang University SCIENCE A
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%I Zhejiang University Press & Springer
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T1 - Condition assessment of long span cable-stayed bridge
A1 - Wu Hua-Cheng
A1 - Xiang Yi-Qiang
A1 - Wang Jin-Feng
J0 - Journal of Zhejiang University Science A
VL - 7
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SP - 297
EP - 308
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Y1 - 2006
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2006.AS0297

A condition assessment model for cable-stayed bridge was proposed, and a cable tension, elevation and frequency condition assessment model was then applied. With the optimized cable tensions as criterion, upper and lower bounds were then introduced. With the elevation of bridge completion as benchmark, and with the allowable vertical displacement of control points to interpolate to generate the upper and lower bounds of elevation, algorithm of condition assessment was programmed. Using moderate index model to interpolate linearly, and with the application of variable weight synthesizing principle (VWSP) and correlation of slope coefficient, according to a set of inspection and monitoring data, performance condition of cable tension, elevation and frequency were calculated. Results showed that with the decrease of balanced coefficient α, the assessment result is a process of degradation. The more divergent the variable weight is, the more severe is the degradation of the bridge component, and the larger is the curvature of curve α-V. Eventually, the model predicted that, for those bridge components whose grade of single survey point is exactly the same, the curvature of curve α-V is constant zero, i.e. there is no correlation between the assessment result and the balanced coefficient α. Numerical simulation showed that it agrees quite well with the expectation.

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