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New model for simulating random synthetic stochastic earthquake scenarios

Khansefid, A ; Sharif University of Technology | 2022

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  1. Type of Document: Article
  2. DOI: 10.1080/13632469.2019.1699207
  3. Publisher: Taylor and Francis Ltd , 2022
  4. Abstract:
  5. This research attempts to propose a new simulating model capable of generating synthetic stochastic earthquake scenario including both seismological, and acceleration signal properties. The Iranian plateau is selected as a mainland for developing the model due to the existence of high-quality earthquake databases. This model is composed of two sub-models. The first one generates random seismic event scenarios including mainshocks and aftershocks. The second one procreates 3-dimensional synthetic stochastic accelerograms for each of the previously simulated events. This scenario-based predictive model offers a powerful tool to the risk modelers interested in lifetime seismic risk assessment through more realistic earthquake scenarios. © 2019 Taylor & Francis Group, LLC
  6. Keywords:
  7. Accelerogram ; Pulse-like signal ; Graphic methods ; Predictive analytics ; Risk assessment ; Risk perception ; Stochastic models ; Stochastic systems ; Accelerograms ; Aftershock ; Earthquake scenario ; Mainshock ; Pulse-like ; Earthquakes
  8. Source: Journal of Earthquake Engineering ; Volume 26, Issue 2 , 2022 , Pages 1072-1089 ; 13632469 (ISSN)
  9. URL: https://www.tandfonline.com/doi/abs/10.1080/13632469.2019.1699207