A Pseudo-Dynamic Approximation to Dynamic Rupture Models for Strong Ground Motion Prediction

Guatteri, M.

doi:10.1785/0120040037

Cited by 130 publications

(86 citation statements)

References 42 publications

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“…namic modeling as proposed by Guatteri et al (2004) is an intermediate approach that tries to improve the kinematic models by incorporating the most basic lessons learned from dynamic modeling.…”

Section: Discussionmentioning

confidence: 99%

Variability of Near-Field Ground Motion from Dynamic Earthquake Rupture Simulations

Ripperger¹,

M²,

Ampuero³

2008

Bulletin of the Seismological Society of America

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This study investigates near-field ground-motion variability due to dynamic rupture models with heterogeneity in the initial shear stress. Ground velocity seismograms are synthesized by convolving the time histories of slip velocity obtained from spontaneous dynamic rupture models with Green's functions of the medium calculated with a discrete wavenumber/finite-element method. Peak ground velocity (PGV) estimated on the synthetics generally matches well with an empirically derived attenuation relation, whereas spectral acceleration (SA) shows only an acceptable match at periods longer than 1 sec. Using the geometric mean to average the two orthogonal components leads to a systematic bias for the synthetics, in particular at the stations closest to the fault. This bias is avoided by using measures of ground motion that are independent of the sensor orientation.The contribution from stress heterogeneity to the overall ground-motion variability is found to be strongest close to the fault and in the backward directivity region of unilaterally propagating ruptures. In general, the intraevent variability originating from the radiation pattern and the effect of directivity is on the same order or larger than the interevent variability. The interevent ground-motion variability itself is dominated by the hypocenter-station configuration and is influenced only to a lesser extent by the differences in the dynamic rupture process due to the stress heterogeneity. In our modeling approach the hypocenter location is not picked arbitrarily but is determined to be mechanically consistent with the stress heterogeneity through a procedure emulating tectonic stress loading of the fault and nucleation. Compared to the peak ground motion recorded during the 2004 Parkfield, California, earthquake our simulated seismograms show enhanced spatial correlation that may be attributed to the simplicity of the assumed crustal model or to an incomplete representation of the spatial heterogeneity of dynamic rupture parameters. Nevertheless, the intraevent PGV variability in the near-fault region determined for the Parkfield dataset is of the same order of magnitude as for our simulations.

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Section: Discussionmentioning

confidence: 99%

Variability of Near-Field Ground Motion from Dynamic Earthquake Rupture Simulations

Ripperger¹,

M²,

Ampuero³

2008

Bulletin of the Seismological Society of America

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“…There are several proposals of slip-velocity time functions (e.g., DAY, 1982;NAKAMURA and MIYATAKE, 2000;GUATTERI et al, 2004;TINTI et al, 2005, LIU et al, 2006. We adopted the formulation of NAKAM- URA and MIYATAKE (2000).…”

Section: Step 9: Parameterization Of Slip-velocity Time Functionsmentioning

confidence: 99%

Recipe for Predicting Strong Ground Motion from Crustal Earthquake Scenarios

Irikura

Miyake

2010

Pure Appl. Geophys.

186

111

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Abstract-We developed a recipe for predicting strong ground motions based on a characterization of the source model for future crustal earthquakes. From recent developments of waveform inversion of strong motion data used to estimate the rupture process, we have inferred that strong ground motion is primarily related to the slip heterogeneity inside the source rather than average slip in the entire rupture area. Asperities are characterized as regions that have large slip relative to the average slip on the rupture area. The asperity areas, as well as the total rupture area, scale with seismic moment. We determined that the areas of strong motion generation approximately coincide with the asperity areas. Based on the scaling relationships, the deductive source model for the prediction of strong ground motions is characterized by three kinds of parameters: outer, inner, and extra fault parameters. The outer fault parameters are defined as entire rupture area and total seismic moment. The inner fault parameters are defined as slip heterogeneity inside the source, area of asperities, and stress drop on each asperity based on the multipleasperity model. The pattern of rupture nucleation and termination are the extra fault parameters that are related to geomorphology of active faults. We have examined the validity of the earthquake sources constructed by our recipe by comparing simulated and observed ground motions from recent inland crustal earthquakes, such as the 1995 Kobe and 2005 Fukuoka earthquakes.

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“…Pseudo-dynamic source modelling methods have been developed to produce a number of rupture scenarios for simulating ground motions for future events (e.g. Guatteri et al 2004;Schmedes et al 2010;Song & Somerville 2010;Mena et al 2012;Song & Dalguer 2013;Trugman & Dunham 2014). This approach aims to derive simple relationships between kinematic source parameters obtained from physics-based dynamic rupture models.…”

Section: Future Direction: Pseudo-dynamic Source Inversionmentioning

confidence: 99%

Evaluating the effect of network density and geometric distribution on kinematic source inversion models

Zhang

Dalguer

Song

et al. 2014

Geophysical Journal International

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S U M M A R YThe effect of network density and geometric distribution on kinematic non-linear source inversion is investigated by inverting synthetic ground motions from a buried strike-slip fault (M w 6.5), that have been generated by dynamic spontaneous rupture modelling. For the inversion, we use a physics-based regularized Yoffe function as slip velocity function. We test three different cases of station network geometry: (i) single station, varying azimuth and epicentral distance; (ii) multistation circular configurations, that is stations at similar distances from the fault, and regularly spaced around the fault; (iii) irregular multistation configurations using different numbers of stations. Our results show: (1) single station tests suggest that it may be possible to obtain a relatively good source model even using a single station. The best source model using a single station is obtained with stations at which amplitude ratios between three components are not large. We infer that both azimuthal angle and source-tostation distance play an important role in the design of optimal seismic network for source inversion. (2) Multistation tests show that the quality of the inverted source systematically correlates neither with the number of stations, nor with waveform misfit. (3) Waveform misfit has a direct correlation with the number of stations, resulting in overfitting the observed data without any systematic improvement of the source. It suggests that the best source model is not necessarily derived from the model with minimum waveform misfit. (4) A seismic network with a small number of well-spaced stations around the fault may be sufficient to obtain acceptable source inversion.

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A Pseudo-Dynamic Approximation to Dynamic Rupture Models for Strong Ground Motion Prediction

Cited by 130 publications

References 42 publications

Variability of Near-Field Ground Motion from Dynamic Earthquake Rupture Simulations

Variability of Near-Field Ground Motion from Dynamic Earthquake Rupture Simulations

Recipe for Predicting Strong Ground Motion from Crustal Earthquake Scenarios

Evaluating the effect of network density and geometric distribution on kinematic source inversion models

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