2005
DOI: 10.1007/s00024-004-2660-9
|View full text |Cite
|
Sign up to set email alerts
|

The Role of Heterogeneities as a Tuning Parameter of Earthquake Dynamics

Abstract: We investigate the influence of spatial heterogeneities on various aspects of brittle failure and seismicity in a model of a large strike-slip fault. The model dynamics is governed by realistic boundary conditions consisting of constant velocity motion of regions around the fault, static/kinetic friction laws, creep with depth-dependent coefficients, and 3-D elastic stress transfer. The dynamic rupture is approximated on a continuous time scale using a finite stress propagation velocity (''quasidynamic model''… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
26
0

Year Published

2006
2006
2022
2022

Publication Types

Select...
5
1
1
1

Relationship

1
7

Authors

Journals

citations
Cited by 42 publications
(28 citation statements)
references
References 33 publications
2
26
0
Order By: Relevance
“…The corresponding frequency‐moment statistics have the same form as , obtained by Vere‐Jones [1976] for a critical stochastic branching and Main and Burton [1984] on the basis of maximum entropy considerations. Similar differences in the character of various response functions are produced in simulations with narrow versus wide ROSS [ Zöller et al , 2005a].…”
Section: Seismicity Patterns On Individual Fault Zones With Differentmentioning
confidence: 60%
See 1 more Smart Citation
“…The corresponding frequency‐moment statistics have the same form as , obtained by Vere‐Jones [1976] for a critical stochastic branching and Main and Burton [1984] on the basis of maximum entropy considerations. Similar differences in the character of various response functions are produced in simulations with narrow versus wide ROSS [ Zöller et al , 2005a].…”
Section: Seismicity Patterns On Individual Fault Zones With Differentmentioning
confidence: 60%
“…On a finite fault in elastic solid a corresponding regime of ROSS does not exist, since the ROSS can increase only to a maximum value related to the system size. As the density of strong barriers increases beyond the level where they start to coalesce, the barriers and regular fault patches interchange their roles, and the dynamics moves back to the characteristic earthquake behavior with stress drops and recurrence times associated with properties of the barriers [ Zöller et al , 2005a]. The strength change parameter ɛ D has a fuller correspondence to the temperature in the context of phase diagrams, including the regime above T c .…”
Section: Seismicity Patterns On Individual Fault Zones With Differentmentioning
confidence: 99%
“…The distribution of the constitutive parameters is uniform along strike and varies either linearly or stepwise with depth. Thus the system investigated here is far less complex than the highly disordered systems studied by some investigators [e.g., Ben‐Zion , 1996; Zöller et al , 2005a, 2005b]. …”
Section: A Case Study Catalogmentioning
confidence: 95%
“…Models adopting static/kinetic friction are not capable of producing aftershock sequences that decay according to the modified Omori law. Aftershocks in models that incorporate static/kinetic friction and creep laws arise solely from the relaxation of stresses in the creeping regions [e.g., Zöller et al , 2005a, 2005b]. In such models aftershocks are concentrated near the edges of creeping segments.…”
Section: Comparison With Models Employing Static/kinetic Frictionmentioning
confidence: 99%
“…In contrast the latter class provides less realistic simulations; these models, however, allow for robust statistics, because a large number of events may be generated. Models of this type, generally labeled as "earthquake simulators" [3,8,11,13,17,18,20,21], become increasingly popular for seismic hazard calculations, since they overcome the problem of small data sets (earthquake catalogs), at least to some degree. The tightrope walk is now to find the most relevant mechanisms that govern the dynamics of the earthquake process and to keep the model as simple as possible, simultaneously.…”
Section: Introductionmentioning
confidence: 99%