Seismic hazard analysis based on fuzzy-probabilistic approach

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

2 Citations (Scopus)

Abstract

China is a country prone to frequent earthquakes due to geography and climate complexity. The task of seismic hazard analysis is to estimate the potential level of ground motion parameters that would be produced by future earthquakes. In this paper, a novel method for seismic hazard analysis is proposed based on the fuzzy probabilistic approach. The earthquake magnitude and source-to-site distance are defined as fuzzy-random variables. Further, Cornell model is applied to evaluate the ground motion and the fuzzy-probability of exceedance of the peak ground acceleration level. The advantage of the fuzzy probabilistic seismic hazard analysis model over the traditional deterministic and probabilistic seismic hazard models is that it considers two types of uncertainties, aleatory and epistemic. The proposed model investigates the seismic hazard of Kunming, the capital of Yunnan province in China.

Original languageEnglish
Title of host publicationCOMPDYN 2017 - Proceedings of the 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering
EditorsM. Papadrakakis, Michalis Fragiadakis
PublisherNational Technical University of Athens
Pages4480-4495
Number of pages16
ISBN (Electronic)9786188284425
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, COMPDYN 2017 - Rhodes Island, Greece
Duration: 15 Jun 201717 Jun 2017

Publication series

NameCOMPDYN 2017 - Proceedings of the 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering
Volume2

Conference

Conference6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, COMPDYN 2017
Country/TerritoryGreece
CityRhodes Island
Period15/06/1717/06/17

Keywords

  • Earthquakes
  • Fuzzy sets
  • Fuzzy-probability
  • Ground motion
  • Peak ground acceleration
  • Seismic Hazard analysis
  • Yunnan Province

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