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A Recursive Division Stochastic Strike-Slip Seismic Source Algorithm Using Insights from Laboratory Earthquakes

Siriki, H. and Rosakis, A. J. and Krishnan, S. and Bhat, H. S. and Lu, X. (2012) A Recursive Division Stochastic Strike-Slip Seismic Source Algorithm Using Insights from Laboratory Earthquakes. In: 15th World Conference on Earthquake Engineering. International Association for Earthquake Engineering , pp. 1-10. http://resolver.caltech.edu/CaltechAUTHORS:20130305-152759959

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Abstract

There are a sparse number of credible source models available from past earthquakes and a stochastic source model generation algorithm thus becomes necessary for robust risk quantification using scenario earthquakes. We present an algorithm that combines the physics of fault rupture as imaged in laboratory earthquakes with stress estimates on the fault constrained by field observations to generate probability distributions of rise-time and rupture-speed for strike-slip earthquakes. The algorithm is validated through a statistical comparison of peak ground velocity at 636 sites in Southern California from synthetic ground motion histories simulated for 10 rupture scenarios using a stochastically generated source model against that generated using a kinematic source model from a finite source inversion. This model, selected from a set of 5 stochastically generated source models, produces ground shaking intensities in Southern California with a median that is closest to the median intensity of shaking from all 5 source models (and 10 rupture scenarios per model).


Item Type:Book Section
Related URLs:
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http://krishnan.caltech.edu/krishnan/papers/15wcee_hemanth.pdfAuthorUNSPECIFIED
Additional Information:This work is funded in part by NSF: CMMI Award No. 0926962. We thank Thomas Heaton (Caltech), Jean Paul Ampuero (Caltech), Dimitri Komatitsch (University of Pau, France), Martin Mai (KAUST), Rob Graves (USGS), and Chen Ji (UCSB) for offering valuable insights into various aspects of source physics and seismic wave propagation.
Group:GALCIT
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Funding AgencyGrant Number
NSF CMMI Award0926962
Subject Keywords:seismic risk quantification, source model generation algorithm, laboratory earthquakes
Record Number:CaltechAUTHORS:20130305-152759959
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20130305-152759959
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:37328
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:28 Jun 2013 20:52
Last Modified:20 Sep 2016 23:13

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