A Framework for Earthquake Risk Engineering

Alin Radu

Research output: Contribution to journalArticle (Academic Journal)peer-review

3 Citations (Scopus)
319 Downloads (Pure)


Abstract 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.
Original languageEnglish
Pages (from-to)3576-3581
Number of pages6
JournalProcedia Engineering
Early online date12 Sept 2017
Publication statusPublished - 2017
EventX International Conference on Structural Dynamics, EURODYN 2017 - Rome, Italy
Duration: 10 Sept 201713 Sept 2017
Conference number: 10


  • earthquake engineering
  • performance-based engineering
  • dynamic analysis
  • catastrophe-risk engineering


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