4.7 Article

On the stiffness of surfaces with non-Gaussian height distribution

Journal

SCIENTIFIC REPORTS
Volume 11, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41598-021-81259-8

Keywords

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Funding

  1. Lulea University of Technology - Vetenskapradet [2019-04293]

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This study investigates the relationship between stiffness and load for self-affine fractal surfaces with non-Gaussian height distribution. Unlike Gaussian surfaces, a linear relation between stiffness and load is not found, while a power law relationship is a better descriptor. The stiffness curve is also dependent on the Hurst exponent in this case, unlike for Gaussian surfaces. The study carefully assesses possible convergence errors to ensure the conclusions are reliable.
In this work, the stiffness, i.e., the derivative of the load-separation curve, is studied for self-affine fractal surfaces with non-Gaussian height distribution. In particular, the heights of the surfaces are assumed to follow a Weibull distribution. We find that a linear relation between stiffness and load, well established for Gaussian surfaces, is not obtained in this case. Instead, a power law, which can be motivated by dimensionality analysis, is a better descriptor. Also unlike Gaussian surfaces, we find that the stiffness curve is no longer independent of the Hurst exponent in this case. We carefully asses the possible convergence errors to ensure that our conclusions are not affected by them.

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