1987
DOI: 10.1029/gl014i001p00029
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Roughness of natural fault surfaces

Abstract: The roughness of fault surfaces is important in the mechanics of fault slip and could play a role in determining whether sliding occurs via earthquakes or fault creep. We have made preliminary measurements of the power spectral density of several fault surfaces over the wavelength range from 10 -5 to 1 m. using field and laboratory scale profilimeters.

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Cited by 356 publications
(226 citation statements)
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“…(ii) Power spectrum analysis of the fault surface suggests that heterogeneities are observed over a large range of scale lengths (see Power et al, 1987, in particular Fig. 4).…”
Section: Signatures Of Fractional-brownian-motion Nature Of Faulting mentioning
confidence: 99%
“…(ii) Power spectrum analysis of the fault surface suggests that heterogeneities are observed over a large range of scale lengths (see Power et al, 1987, in particular Fig. 4).…”
Section: Signatures Of Fractional-brownian-motion Nature Of Faulting mentioning
confidence: 99%
“…For comparison, we used α = 10°and α = 70°to represent end-members of the possible stress field predicted by Coulomb wedge theory [e.g., Wang and Hu, 2006]. Using appropriate values for~1 km depth of faulting, we assigned Young's modulus E = 3 GPa, Poisson's ratio v = 0.25, and roughness ratio A/L = 10 À3 [Power et al, 1987; …”
Section: Role Of Frictionmentioning
confidence: 99%
“…Our numerical calculation demonstrate that b-value satisfied the observation value when the Hurst (Roughness) exponent H nealy equals to observation value (H ∼ 0.8 [4]). Therefore, the self-affine roughness is one of the important factors of statistical properties of EQs.…”
Section: Resultsmentioning
confidence: 88%
“…In this study, therefore, we numerically investigate a 1-D BK model, considering inhomogeneous fault surfaces. Since the fault structure is self-affine fractal [4], the self-affine fault surface structure was considered. In order to estimate the degree of roughness of the self-affine structure, Hurst exponent H(0 < H < 1) is used.…”
Section: Introductionmentioning
confidence: 99%