@inproceedings{dadab6fa4ae3414abc6316d0cfcffee1,
title = "Seismic hazard analysis based on fuzzy-probabilistic approach",
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.",
keywords = "Earthquakes, Fuzzy sets, Fuzzy-probability, Ground motion, Peak ground acceleration, Seismic Hazard analysis, Yunnan Province",
author = "Andri{\'c}, {Jelena M.} and Dagang Lu",
note = "Publisher Copyright: {\textcopyright} 2017 National Technical University of Athens. All rights reserved.; 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, COMPDYN 2017 ; Conference date: 15-06-2017 Through 17-06-2017",
year = "2017",
doi = "10.7712/120117.5739.17539",
language = "English",
series = "COMPDYN 2017 - Proceedings of the 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering",
publisher = "National Technical University of Athens",
pages = "4480--4495",
editor = "M. Papadrakakis and Michalis Fragiadakis",
booktitle = "COMPDYN 2017 - Proceedings of the 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering",
}
