Gaussian Statistics of Fracture Surfaces
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We analyse the statistical distribution function for the height fluctuations of brittle fracture surfaces using extensive experimental data sampled on widely different materials and geometries. We compare a direct measurement of the distribution to a new analysis based on the structure functions. For length scales $\delta$ larger than a characteristic scale $\delta^*$, we find that the distribution of the height increments $\Delta h = h(x+ \delta) -h(x)$ is Gaussian. Self-affinity enters through the scaling of the standard deviation $\sigma$, which is proportional to $\delta^\zeta$ with a unique roughness exponent. Below the scale $\delta^*$ we observe an effective multi-affine behavior of the height fluctuations and a deviation from a Gaussian distribution which is related to the discreteness of the measurement or of the material.
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