Earthquake rupture model and rupture criterion

1990 ◽  
Vol 17 ◽  
pp. 55-61
Author(s):  
Li Shiyu
2018 ◽  
Vol 11 (7) ◽  
pp. 3071-3088 ◽  
Author(s):  
Hugo Cruz-Jiménez ◽  
Guotu Li ◽  
Paul Martin Mai ◽  
Ibrahim Hoteit ◽  
Omar M. Knio

Abstract. 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.


2011 ◽  
Vol 27 (2) ◽  
pp. 293-313 ◽  
Author(s):  
Rui Chen ◽  
Mark D. Petersen

We apply a probabilistic method to develop fault displacement hazard maps and profiles for the southern San Andreas Fault. Two slip models are applied: (1) scenario slip, defined by the ShakeOut rupture model, and (2) empirical slip, calculated using regression equations relating global slip to earthquake magnitude and distance along the fault. The hazard is assessed using a range of magnitudes defined by the Uniform California Earthquake Rupture Forecast and the ShakeOut. For hazard mapping we develop a methodology to partition displacement among multiple fault branches based on geological observations. Estimated displacement hazard extends a few kilometers wide in areas of multiple mapped fault branches and poor mapping accuracy. Scenario and empirical displacement hazard differs by a factor of two or three, particularly along the southernmost section of the San Andreas Fault. We recommend the empirical slip model with site-specific geological data to constrain uncertainties for engineering applications.


2018 ◽  
Author(s):  
Hugo Cruz-Jiménez ◽  
Guotu Li ◽  
Paul Martin Mai ◽  
Ibrahim Hoteit ◽  
Omar M. Knio

Abstract. 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.


2016 ◽  
Author(s):  
Christie D. Rowe ◽  
◽  
W. Ashley Griffith ◽  
Catherine Ross ◽  
Benjamin Melosh ◽  
...  
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2021 ◽  
Vol 261 ◽  
pp. 106922
Author(s):  
Alan R. Nelson ◽  
Christopher B. DuRoss ◽  
Robert C. Witter ◽  
Harvey M. Kelsey ◽  
Simon E. Engelhart ◽  
...  

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