On the Frequency Distribution of Rupture Lengths of Earthquakes Synthesized from a One-Dimensional Dynamical Lattice Model.

Wang, Jeen-Hwa

doi:10.4294/jpe1952.45.363

Cited by 9 publications

(12 citation statements)

References 49 publications

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“…Most specifically, numerical simulations in Wang et al (1995) and Wang (1997) clearly demonstrated the different distributions in the frequency versus rupture length of earthquakes for various stiffness ratios in the Burridge‐Knopoff model. Wang's simulations (e.g.…”

Section: Discussionmentioning

confidence: 98%

Accelerating seismicity of moderate-size earthquakes before the 1999 Chi-Chi, Taiwan, earthquake: Testing time-prediction of the self-organizing spinodal model of earthquakes

Chen¹

2003

Geophysical Journal International

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SUMMARY Seismic activation of moderate‐size earthquakes for the 1999 Chi‐Chi, Taiwan, earthquake has been found. A self‐organizing spinodal (SOS) model can explain some observations concerning seismic activation, but the equal time durations of the mid and precursory periods during an earthquake cycle conjectured in the original, published, SOS model have not been supported in this case. The Chi‐Chi test presented here shows unequal time durations of the mid and precursory periods of an earthquake cycle. This, in turn, makes the possibility of time prediction of a characteristic earthquake impossible in the context of the SOS model. In addition, comparisons with numerical simulations of the sliding‐block model suggest the change in the system's stiffness is a potential mechanism of seismic activation.

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Section: Discussionmentioning

confidence: 98%

Accelerating seismicity of moderate-size earthquakes before the 1999 Chi-Chi, Taiwan, earthquake: Testing time-prediction of the self-organizing spinodal model of earthquakes

Chen¹

2003

Geophysical Journal International

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“…The more heterogeneous the slip distributions for moderate earthquakes might be related to the variations in breaking strength over the fault plane as suggested by Wang and Lee (1997); while the more homogenous slip distribution for larger earthquakes (M w > 7.0) might suggest more significant influence from dynamic rupture process, e.g., thermal pressurization or melting (Kanamori and Brodsky 2004;Ma et al 2006). Discrepancies in source scaling for earthquakes have been observed and discussed previously (Shimazaki 1986;Wang 1997;Wang and Ou 1998;Hanks andBakun 2002, 2008;Manighetti et al 2007;Shaw and Wesnousky 2008). Wang and Ou (1998) analyzed the scaling relation among seismic moment, average displacement, rupture width and rupture length of earthquake fault models.…”

Section: Discussionmentioning

confidence: 94%

Heterogeneous Slip Distribution Self-Similarity on a Fault Surface

Lee

Fong²,

Yen

2016

Terr. Atmos. Ocean. Sci.

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The earthquake slip distribution self-similarity is investigated in this study. We complied finite fault slip models for earthquakes in the Taiwan orogenic belt and global earthquakes to determine the slip distribution self-similarity. Forty-one earthquakes (19 Taiwan earthquakes and 22 global earthquakes) in the M w = 4.6 -8.9 magnitude range were examined. The fault slip exhibited self-similar scaling between the rupture slip and area. The average area ratio (R s ) and slip ratio (R d ) follows a scaling of R 10 ( ) s a n Rd = -. Slip self-similarity implies that a fault rupture exhibits fractal behavior. The scaling exponent can be considered as a measure for the roughness degree of the slip distribution on the fault surface. This study suggests that the slip distribution for large earthquakes (M w > 7.0) tends to have a more homogeneous slip. Scaling exponents can provide insight into earthquake rupture mechanics and the scaling of heterogeneous slips on the fault surface provides a basis for ground motion simulation for a finite fault for an earthquake scenario, particularly for near-fault motion.

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“…An example of simulated FL distribution is shown in Fig. 9 [L was denoted by ∆ in Wang (1997b)]. His results show that the fractal dimension, D, of the distribution and the maximum value of the breaking strengths is a minor parameter affecting the FL distribution, especially for small and intermediate-size events.…”

Section: Frequency Distribution Of Rupture Lengthmentioning

confidence: 97%

“…Based on the 1-D BK model, Wang (1997b) simulated the population of earthquake faults. An example of simulated FL distribution is shown in Fig.…”

Section: Frequency Distribution Of Rupture Lengthmentioning

confidence: 99%

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One-Dimensional Dynamical Modeling of Earthquakes: A Review

Wang

2008

Terr. Atmos. Ocean. Sci.

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3. This relation is commonly considered to hold up for a wide range of events (Hanks 1977). However, for Japanese earthquakes, Shimazaki (1986) AbstrActStudies of the power-law relations of seismicity and earthquake source parameters based on the one-dimensional (1-D) Burridge-Knopoff's (BK) dynamical lattice model, especially those studies conducted by Taiwan's scientists, are reviewed in this article. In general, velocity-and/or state-dependent friction is considered to control faulting. A uniform distribution of breaking strengths (i.e., the static friction strength) is taken into account in some studies, and inhomogeneous distributions in others. The scaling relations in these studies include: Omori's law, the magnitude-frequency or energy-frequency relation, the relation between source duration time and seismic moment, the relation between rupture length and seismic moment, the frequency-length relation, and the source power spectra. The main parameters of the one-dimensional (1-D) Burridge-Knopoff's (BK) dynamical lattice model include: the decreasing rate (r) of dynamic friction strength with sliding velocity; the type and degree of heterogeneous distribution of the breaking strengths, the stiffness ratio (i.e., the ratio between the stiffness of the coil spring connecting two mass elements and that of the leaf spring linking a mass element and the moving plate); the frictional drop ratio of the minimum dynamic friction strength to the breaking strength; and the maximum breaking strength. For some authors, the distribution of the breaking strengths was considered to be a fractal function. Hence, the fractal dimension of such a distribution is also a significant parameter. Comparison between observed scaling laws and simulation results shows that the 1-D BK dynamical lattice model acceptably approaches fault dynamics.

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On the Frequency Distribution of Rupture Lengths of Earthquakes Synthesized from a One-Dimensional Dynamical Lattice Model.

Cited by 9 publications

References 49 publications

Accelerating seismicity of moderate-size earthquakes before the 1999 Chi-Chi, Taiwan, earthquake: Testing time-prediction of the self-organizing spinodal model of earthquakes

Accelerating seismicity of moderate-size earthquakes before the 1999 Chi-Chi, Taiwan, earthquake: Testing time-prediction of the self-organizing spinodal model of earthquakes

Heterogeneous Slip Distribution Self-Similarity on a Fault Surface

One-Dimensional Dynamical Modeling of Earthquakes: A Review

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