Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2007-04-22
Phys. Rev. E 76, 025101(R) (2007)
Physics
Condensed Matter
Disordered Systems and Neural Networks
4 pages, 4 figures
Scientific paper
10.1103/PhysRevE.76.025101
The long-ranged elastic model, which is believed to describe the evolution of a self-affine rough crack-front, is analyzed to linear and non-linear orders. It is shown that the nonlinear terms, while important in changing the front dynamics, are not changing the scaling exponent which characterizes the roughness of the front. The scaling exponent thus predicted by the model is much smaller than the one observed experimentally. The inevitable conclusion is that the gap between the results of experiments and the model that is supposed to describe them is too large, and some new physics has to be invoked for another model.
Bouchbinder Eran
Bregman Michal
Procaccia Itamar
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