Gaussian Statistics of Fracture Surfaces
arXiv:cond-mat/0607372 · doi:10.1103/PhysRevE.75.016104
Abstract
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 larger than a characteristic scale , we find that the distribution of the height increments is Gaussian. Self-affinity enters through the scaling of the standard deviation , which is proportional to with a unique roughness exponent. Below the scale 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.
References in corpus (3)
Cited by in corpus (12)
- Algorithm to estimate the Hurst exponent of high-dimensional fractals
- Failure mechanisms and surface roughness statistics of fractured Fontainebleau sandstone
- Local dynamics of a randomly pinned crack front during creep and forced propagation: An experimental study
- Turbulent fracture surfaces: A footprint of damage percolation?
- Multiscaling analysis of ferroelectric domain wall roughness
- Discrepancy between sub-critical and fast rupture roughness: a cumulant analysis
- Slow crack growth : models and experiments
- Crack Roughness in the 2D Random Threshold Beam Model
- Effect of the porosity on the fracture surface roughness of sintered materials: From anisotropic to isotropic self-affine scaling
- Super-Rough Glassy Phase of the Random Field XY Model in Two Dimensions
- Effect of Disorder and Notches on Crack Roughness
- Crossover from rotational to stochastic sandpile universality in the random rotational sandpile model