Disaster risk modeling and assessment towards enhanced infrastructure resilience under extreme events
High-impact, low-frequency (HILF) events such as tsunamis, floods, and earthquakes cause inevitable damages to the built environments. Those extreme events are hard to predict as they depend on a complex mixture of variables. Alternative efforts to control disaster risk have been paid to rapid asses...
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| 格式: | Thesis-Doctor of Philosophy |
| 語言: | English |
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Nanyang Technological University
2024
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/175523 |
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