TECHNICAL PAPERS
Jun 15, 2009

Vulnerability Assessment of Cable-Stayed Bridges in Probabilistic Domain

Publication: Journal of Bridge Engineering
Volume 14, Issue 4

Abstract

Vulnerability of a structure under terrorist attack can be regarded as the study of its behavior against blast-induced loads. A structure is vulnerable if a small damage can trigger a disproportionately large consequence and lead to a cascade of failure events or even collapse. The performance of structural vulnerability depends upon factors such as external loading condition and structural properties. As many of these factors are random in nature, it is necessary to develop a vulnerability assessment technique in the probabilistic domain. In this study, one such assessment framework is proposed for cable-stayed bridges. The framework consists of two stages of analysis: determining the probability of direct damage due to blast loads and assessing the subsequent probability of collapse due to component damage. In the first stage assessment, damage of the bridge component is defined as the exceedance of a predefined limit state such as displacement or yielding. The damage probability is obtained through a stochastic finite-element analysis and the first-order second-moment reliability method. The second stage assessment further calculates the probability of collapse due to direct damage of some component via an event tree approach. The proposed assessment methods are illustrated on a hypothetical single-tower cable-stayed bridge. It is seen that the proposed methods provide a quantitative tool for analyzing the vulnerability performance of cable-stayed bridges under terrorist attack.

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Acknowledgments

This study is supported by the Hong Kong Research Grants Council Competitive Earmarked Research Grant No. UNSPECIFIED611405. This support is gratefully acknowledged.

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Information

Published In

Go to Journal of Bridge Engineering
Journal of Bridge Engineering
Volume 14Issue 4July 2009
Pages: 270 - 278

History

Received: Mar 6, 2008
Accepted: Nov 14, 2008
Published online: Jun 15, 2009
Published in print: Jul 2009

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Authors

Affiliations

D. Yan
Ph.D. Student, Dept. of Civil and Environmental Engineering, Hong Kong Univ. of Science and Technology, Clear Water Bay, Kowloon, Hong Kong. E-mail: [email protected]
C. C. Chang
Professor, Dept. of Civil and Environmental Engineering, Hong Kong Univ. of Science and Technology, Clear Water Bay, Kowloon, Hong Kong (corresponding author). E-mail: [email protected]

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