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Rupture speed and slip velocity: What can we learn from simulated earthquakes?
Language
English
Obiettivo Specifico
3.1. Fisica dei terremoti
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Title of the book
Issue/vol(year)
/317-318(2012)
ISSN
0012-821X
Electronic ISSN
1385-013X
Publisher
Elsevier Science Limited
Pages (printed)
196-204
Issued date
February 2012
Alternative Location
Keywords
Abstract
In this paper we consider a wide catalog of synthetic earthquakes, numerically
modeled as spontaneous, fully dynamic, 3-D ruptures on extended faults, governed
by different friction laws, including slip-dependent and rate- and state-dependent
equations.We analyze the spatial correlations between the peak of fault slip velocity
(v_peak) and the rupture speed (v_r) at which the earthquake spreads over the fault.
We found that vpeak positively correlates with vr and that the increase of v_peak
is roughly quadratic. We found that near the transition between sub- and supershear
regimes vpeak significantly diminishes and then starts to increase againwith the
square of v_r. This holds for all the governing models we consider and for both
homogeneous and heterogeneous configurations. Moreover, we found that, on average,
v_peak increases with the magnitude of the event (v_peak~M_0^0.18). Our
results can be incorporated as constraints in the inverse modeling of faults.
modeled as spontaneous, fully dynamic, 3-D ruptures on extended faults, governed
by different friction laws, including slip-dependent and rate- and state-dependent
equations.We analyze the spatial correlations between the peak of fault slip velocity
(v_peak) and the rupture speed (v_r) at which the earthquake spreads over the fault.
We found that vpeak positively correlates with vr and that the increase of v_peak
is roughly quadratic. We found that near the transition between sub- and supershear
regimes vpeak significantly diminishes and then starts to increase againwith the
square of v_r. This holds for all the governing models we consider and for both
homogeneous and heterogeneous configurations. Moreover, we found that, on average,
v_peak increases with the magnitude of the event (v_peak~M_0^0.18). Our
results can be incorporated as constraints in the inverse modeling of faults.
Type
article
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Paper 31 2.pdf
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