Bayesian inference of earthquake rupture models using polynomial chaos expansion

Autor: H. Cruz-Jiménez, G. Li, P. M. Mai, I. Hoteit, O. M. Knio
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Geoscientific Model Development, Vol 11, Pp 3071-3088 (2018)
Druh dokumentu: article
ISSN: 1991-959X
1991-9603
DOI: 10.5194/gmd-11-3071-2018
Popis: In this paper, we employed polynomial chaos (PC) expansions to understand earthquake rupture model responses to random fault plane properties. A sensitivity analysis based on our PC surrogate model suggests that the hypocenter location plays a dominant role in peak ground velocity (PGV) responses, while elliptical patch properties only show secondary impact. In addition, the PC surrogate model is utilized for Bayesian inference of the most likely underlying fault plane configuration in light of a set of PGV observations from a ground-motion prediction equation (GMPE). A restricted sampling approach is also developed to incorporate additional physical constraints on the fault plane configuration and to increase the sampling efficiency.
Databáze: Directory of Open Access Journals
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