2012
DOI: 10.1785/0120110111
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Pseudodynamic Source Characterization for Strike-Slip Faulting Including Stress Heterogeneity and Super-Shear Ruptures

Abstract: Reliable ground-motion prediction for future earthquakes depends on the ability to simulate realistic earthquake source models. Though dynamic rupture calculations have recently become more popular, they are still computationally demanding. An alternative is to invoke the framework of pseudodynamic (PD) source characterizations that use simple relationships between kinematic and dynamic source parameters to build physically self-consistent kinematic models. Based on the PD approach of Guatteri et al. (2004), w… Show more

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Cited by 37 publications
(21 citation statements)
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“…Consequently, the fraction of supershear rupture increases with both the initial background shear stress 0 and the roughness . The increasing likelihood of supershear transients at larger 0 supports the results of Mena et al [2012] that supershear ruptures prevail in dynamic simulations with longer rupture length, which occurs more commonly in our simulations at larger background shear stresses. Also worth noticing is that the peak in the supershear velocity distribution is at approximately 0.9c P .…”
Section: Quantitative Analysis Of Supershear Rupturessupporting
confidence: 88%
“…Consequently, the fraction of supershear rupture increases with both the initial background shear stress 0 and the roughness . The increasing likelihood of supershear transients at larger 0 supports the results of Mena et al [2012] that supershear ruptures prevail in dynamic simulations with longer rupture length, which occurs more commonly in our simulations at larger background shear stresses. Also worth noticing is that the peak in the supershear velocity distribution is at approximately 0.9c P .…”
Section: Quantitative Analysis Of Supershear Rupturessupporting
confidence: 88%
“…The spatial heterogeneity introduced in this study originates only from the fault geometry, which principally controls the macroscopic parameters such as the final magnitude and the rupture directivity. Further heterogeneities at smaller scales could be considered (1) deterministically, if we know the spatial distribution of heterogeneity such as fault asperity (Ide and Aochi, 2013), seismic coupling (Schmittbuhl et al, 2014), and other geochemical factors (Tryon et al, 2010), or (2) stochastically, as this is often developed in pseudodynamic modelings (e.g., Mena et al, 2012;Schmedes et al, 2012;Song and Dalguer, 2013;Trugman and Dunham, 2014). Such heterogeneities may make the triggering of multiple fault segments difficult (Kase, 2010).…”
Section: Resultsmentioning
confidence: 99%
“…Such an approach is used by pseudodynamic stochastic rupture model generators (e.g., Song and Somerville, 2010;Mena et al, 2012;Song et al, 2014;Trugman and Dunham, 2014). They typically represent final slip, rupture speed, and slip rate as spatial random fields that are statistically characterized (and/or correlated) by synthetic data from dynamic rupture simulations.…”
Section: Discussionmentioning
confidence: 99%