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Rupture process of an earthquake with kilometric size fault inferred from the modeling of near-source records

Authors: Jean-Christophe Gariel; Ralph J. Archuleta; Michel Bouchon;

Rupture process of an earthquake with kilometric size fault inferred from the modeling of near-source records

Abstract

AbstractWe use the exceptional set of strong ground motion records obtained during one of the largest aftershocks (ML = 5.0) of the 1979 Imperial Valley earthquake to study the time history of rupture on a kilometric size fault. We apply single crack, composite cracks, and dislocation earthquake models to simulate the source and calculate the ground velocity and acceleration at the recording sites. The best fit to the data is obtained for a crack-like source where rupture is initiated at one edge and expands circularly over the fault. The stress drop inferred is 720 bars, and the fractured area has a diameter of about 1 km. The fault is vertical and strikes in the N320°E direction. This simple model explains surprisingly well the amplitudes and waveforms of the ground velocities and accelerations recorded in the near-source region during the event.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Average
Average
Top 10%
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