A Framework for Earthquake Risk Engineering
| Autor: | Alin Radu |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
021110 strategic
defence & security studies Earthquake engineering Engineering Operations research business.industry Heuristic Structural system Seismic loading 0211 other engineering and technologies 020101 civil engineering 02 engineering and technology General Medicine dynamic analysis Induced seismicity Field (computer science) 0201 civil engineering Reliability engineering catastrophe-risk engineering Set (abstract data type) performance-based engineering earthquake engineering business Risk management |
| Zdroj: | Radu, A 2017, ' A Framework for Earthquake Risk Engineering ', Procedia Engineering, vol. 199, pp. 3576-3581 . https://doi.org/10.1016/j.proeng.2017.09.523 |
| ISSN: | 1877-7058 |
| DOI: | 10.1016/j.proeng.2017.09.523 |
| Popis: | Catastrophe risk engineering (CRE) is the field of engineering that quantifies the risk of individual assets exposed to natural catastrophes, such as earthquakes or hurricanes, for the purpose of finding risk management solutions. An accurate estimation of the risk is essential for decision makers, such as risk managers or insurance brokers, who seek to either reduce or transfer the risk of the high-valuable assets in their portfolios. Current practices in CRE use either oversimplifications of the structural systems and/or perform incremental dynamic analyses on limited number of ground motion records for the analyses selected by arbitrary heuristic methods. This paper proposes a novel framework for earthquake CRE. An accurate assessment of the earthquake risk requires a detailed analysis of the structural performance under site-specific seismic loading. Dynamic analyses of structures may be computationally expensive for complex structures, which are often overcome by simplifying assumptions at the expense of accuracy and rigor. The proposed framework uses a set of simulated ground-motion records consistent with the local-site seismicity. An efficient method based on stochastic reduced-order models is then used for running detailed dynamic analyses for the structural system. The methodology proposed is validated for linear and non-linear systems located in a highly-seismic zone. Comparisons between the newly proposed and the traditional CRE frameworks are conducted. |
| Databáze: | OpenAIRE |
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