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Addressing the epistemic uncertainty in seismic hazard analysis as a basis for seismic design by emphasizing the knowledge aspects and utilizing imprecise probabilities

Ghods, B ; Sharif University of Technology | 2022

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  1. Type of Document: Article
  2. DOI: 10.1007/s10518-021-01252-4
  3. Publisher: Springer Science and Business Media B.V , 2022
  4. Abstract:
  5. Epistemic uncertainty in seismic hazard analysis is traditionally addressed by utilizing a logic-tree structure with subjective probabilities for branches. However, many studies have argued that probability is not a suitable choice for addressing epistemic uncertainties; in particular in addressing the background knowledge supporting the probabilities. In this regard, the application of imprecise probability (IP) is investigated. It is discussed that IP could provide a flexible tool for a more objective presentation of experts' knowledge. Moreover, the importance of addressing the strength of knowledge and surprises relative to knowledge in seismic hazard analysis along with methods to do so, are discussed. Then, a method is proposed for providing seismic hazard curves with consideration of IPs for logic-tree branches and addressing the knowledge dimension. It is suggested to consider the worst possible combination of branch probabilities for the expected intensity measures at all return-periods in order to construct the seismic hazard curve. A process is also suggested to demonstrate how the proposed seismic hazard analysis method could be properly used in the seismic design of buildings. The performance of the suggested method was investigated on Uniform California Earthquake Rupture Forecast, Version 2 (UCERF2) logic-tree for two sites in Los Angeles and Oakland, California, US. The results indicate that even with a similar logic-tree, the effects of imprecision in logic-tree weights could be different at different sites. © 2021, The Author(s), under exclusive licence to Springer Nature B.V
  6. Keywords:
  7. Epistemic uncertainty ; Imprecise probability ; Knowledge ; Logic-tree ; Seismic hazard analysis ; Strength of knowledge ; Computer circuits ; Hazards ; Seismic response ; Trees (mathematics) ; Uncertainty analysis ; California ; Epistemic uncertainties ; Hazard curves ; Imprecise probabilities ; Logic tree ; Seismic hazard analysis ; Seismic hazards ; Tree structures ; Seismic design ; Geographical knowledge ; Probability ; Seismic hazard ; Los Angeles [California] ; Oakland ; United States
  8. Source: Bulletin of Earthquake Engineering ; Volume 20, Issue 2 , 2022 , Pages 741-764 ; 1570761X (ISSN)
  9. URL: https://link.springer.com/article/10.1007/s10518-021-01252-4