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Post-earthquake restoration of water distribution network: A resilience framework
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Liu, Wei | - |
dc.contributor.author | Song, Zhaoyang | - |
dc.date.accessioned | 2019-05-14T03:00:22Z | - |
dc.date.available | 2019-05-14T03:00:22Z | - |
dc.date.issued | 2019-05-26 | - |
dc.identifier.citation | 13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13), Seoul, South Korea, May 26-30, 2019 | - |
dc.identifier.isbn | 979-11-967125-0-1 | - |
dc.identifier.other | ICASP13-031 | - |
dc.identifier.uri | https://hdl.handle.net/10371/153262 | - |
dc.description.abstract | A demand-based seismic resilience analysis framework is proposed in this paper. Four pipe recovery strategies, including random, experienced, static importance-based and dynamic importance-based strategies, are introduced and simulated using two cases to compare their effects on improving resilience level. Based on simulation analysis, the importance-based strategies perform more efficiently in improving resilience than traditional practice prioritizing pipes nearby the water factory. In addition, although the dynamic-based strategy, the best one among the four, is not globally optimal, which is verified by exhaustion and genetic algorithms, it is still a near-optimal solution due to the limited error and high computation efficiency. | - |
dc.language.iso | en | - |
dc.title | Post-earthquake restoration of water distribution network: A resilience framework | - |
dc.type | Conference Paper | - |
dc.identifier.doi | 10.22725/ICASP13.031 | - |
dc.sortNo | 969 | - |
dc.citation.pages | 80-86 | - |
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