TY - GEN
T1 - Time-varying seismic reliability analysis of representative US west coast bridge transportation networks
AU - Kurtz, N.
AU - Song, J.
AU - Gardoni, P.
PY - 2013
Y1 - 2013
N2 - Proper post-hazard performance of lifeline infrastructure networks, e.g. bridge networks, is essential for the optimal functioning of the society and economy. A useful measure of the network resilience against hazards is the network disconnection probability. One challenge in such a network reliability analysis is to develop a "realistic" network model that can allow for efficient and accurate analysis.To this end, a methodology has been created to model a realistic bridge network in the Southwest of the US using a clustering algorithm for identifying representative bridges from a database, cutting-edge fragility models for the representative bridges, and an efficient network reliability analysis method called the selective recursive decomposition algorithm. In particular, the fragility models are time-variant, which enables time-varying seismic reliability analysis that accounts for impact of structural deterioration of bridges on the network-level performance.The effects of retrofit and deterioration on the network reliability are investigated under various scenarios. The relative importance of each bridge with regard to the disconnection probability is also quantified using the conditional probability importance measure.
AB - Proper post-hazard performance of lifeline infrastructure networks, e.g. bridge networks, is essential for the optimal functioning of the society and economy. A useful measure of the network resilience against hazards is the network disconnection probability. One challenge in such a network reliability analysis is to develop a "realistic" network model that can allow for efficient and accurate analysis.To this end, a methodology has been created to model a realistic bridge network in the Southwest of the US using a clustering algorithm for identifying representative bridges from a database, cutting-edge fragility models for the representative bridges, and an efficient network reliability analysis method called the selective recursive decomposition algorithm. In particular, the fragility models are time-variant, which enables time-varying seismic reliability analysis that accounts for impact of structural deterioration of bridges on the network-level performance.The effects of retrofit and deterioration on the network reliability are investigated under various scenarios. The relative importance of each bridge with regard to the disconnection probability is also quantified using the conditional probability importance measure.
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M3 - Conference contribution
AN - SCOPUS:84892403989
SN - 9781138000865
T3 - Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013
SP - 655
EP - 662
BT - Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013
T2 - 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013
Y2 - 16 June 2013 through 20 June 2013
ER -