2013
DOI: 10.1193/1.4000094
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Life-Cycle Risk Assessment of Spatially Distributed Aging Bridges under Seismic and Traffic Hazards

Abstract: This paper presents a rational framework for the quantitative assessment of life-cycle risk of bridges within a transportation network. Bridge vulnerability is evaluated with respect to seismic and abnormal traffic hazards. The effects induced by seismic hazard are investigated by means of fragility analysis. Random earthquakes are generated using Latin Hypercube sampling technique, and probabilities of exceeding specific structural damage states are computed for each specific seismic scenario. Traffic hazard … Show more

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Cited by 80 publications
(28 citation statements)
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“…Previous research efforts have effectively performed risk analyses in a qualitative [2,3] and quantitative manner [4][5][6][7][8][9] under a multitude of hazards for various structures. In general, structural components that are under relatively high risk should receive priority for maintenance interventions.…”
Section: Introductionmentioning
confidence: 99%
“…Previous research efforts have effectively performed risk analyses in a qualitative [2,3] and quantitative manner [4][5][6][7][8][9] under a multitude of hazards for various structures. In general, structural components that are under relatively high risk should receive priority for maintenance interventions.…”
Section: Introductionmentioning
confidence: 99%
“…• Further research on life-cycle performance of single bridges and bridge networks under seismic and other hazards, including reliability, risk, resilience and sustainability has to be performed along the lines reported in [24][25][26][27][28][29][30][31][32].…”
Section: Discussionmentioning
confidence: 99%
“…Although such simplistic assumptions may aid in the ease of deterioration modeling and subsequent fragility analysis using finite element bridge models, it may lead to significant under-predictions of aging bridge failure probabilities. These underestimation of seismic fragility at bridge level are also likely to be propagated during life-cycle analysis of deteriorating bridges [17,67] as well as in reliability estimation of aging bridge transportation networks [40,59].…”
Section: Introductionmentioning
confidence: 97%