Browse

Stochastic Sampling for Efficient Seismic Risk Assessment of Transportation Network

Cited 0 time in Web of Science Cited 0 time in Scopus
Authors
Wang, Zhenqiang; Jia, Gaofeng
Issue Date
2019-05-26
Citation
13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13), Seoul, South Korea, May 26-30, 2019
Abstract
For accurate seismic risk assessment of transportation network under probabilistic seismic hazard, the uncertainty in the seismic hazard, the damage states of links/bridges in the network, and network performance need to be quantified. Stochastic simulation is well suited for this task. However, it typically requires large number of model evaluations, which entails significant computational effort, especially for large network. To address the above challenges, an efficient stochastic sampling-based approach is proposed. It relies on generating one set of samples for earthquake magnitude and carrying out analysis for the corresponding set of networks. This set of evaluations are used for seismic risk assessment under different risk measures, different probabilistic seismic hazards (e.g., with or without considering spatial correlation), and also for risk-based importance ranking of all bridges/links in the network for risk mitigation purpose. No additional evaluation of the network model is needed. The proposed approach is applied to seismic risk assessment and mitigation of the transportation network of Los Angeles and Orange countries. The impact of spatial correlation in seismic hazard on the seismic risk assessment and mitigation is investigated.
Language
English
URI
http://hdl.handle.net/10371/153446
DOI
https://doi.org/10.22725/ICASP13.282
Files in This Item:
Appears in Collections:
College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Civil & Environmental Engineering (건설환경공학부)ICASP13
  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse