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Probability-based damage assessment for reinforced concrete bridge columns considering the corrosive and seismic hazards in Taiwan

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  • Chien-Kuo Chiu
  • Yue-Cong Lyu
  • Wen-Yu Jean

Abstract

In this paper, we consider the time at which earthquake events occur when analyzing seismic structural damage to a deteriorating RC bridge within a specified period. Because the uncertainty exists in the occurrence time of earthquake events, Monte Carlo simulation is applied. The proposed procedure for evaluating the exceedance probability, which corresponds to a specified limit state, is then applied to a case study of RC bridges in Taiwan to demonstrate its applicability. This study selects three typical RC bridges located in the Taipei Basin, Taiwan, to analyze exceedance probabilities of specified damage states during various specified periods and then discusses the cumulative damage effect on the exceedance probabilities of specified damage states. Additionally, for the chloride-induced deteriorating bridges at various distances to the sea in Suao, Taiwan, the effects of the deterioration and seismic structural damage on the exceedance probabilities of specified damage states are demonstrated and discussed. The proposed assessment procedure can help engineers understand whether the deterioration would accelerate the declining seismic performance of bridges and shorten their serviceability-related and safety-related service lives, as well as provide reference for repairing RC bridges and retrofitting their seismic performance. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Chien-Kuo Chiu & Yue-Cong Lyu & Wen-Yu Jean, 2014. "Probability-based damage assessment for reinforced concrete bridge columns considering the corrosive and seismic hazards in Taiwan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(3), pages 2143-2164, April.
    • Handle: RePEc:spr:nathaz:v:71:y:2014:i:3:p:2143-2164
    DOI: 10.1007/s11069-013-1002-6
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    Cited by:

    1. Zhongqi Shi & Rumian Zhong & Nan Jin, 2022. "Seismic Damage Identification of Composite Cable-Stayed Bridges Using Support Vector Machines and Wavelet Networks," Sustainability, MDPI, vol. 15(1), pages 1-17, December.

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