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EXTRACTING SUMMIT ROUGHNESS PARAMETERS FROM RANDOM GAUSSIAN SURFACES ACCOUNTING FOR ASYMMETRY OF THE SUMMIT HEIGHTS

机译:从峰高不对称的随机高斯曲面中提取峰粗糙度参数。

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摘要

The random Gaussian surface model proposed by Nayak is important to many statistical summit-based micro contact models. A Gaussian distribution is usually assumed for the summit heights as many surfaces have a Gaussian distribution of surface heights. In this work, based on Nayak's model, the skewness and kurtosis of the summit heights distribution are derived as a function of the bandwidth parameter α. The correctness of these two equations is verified using a numerical scheme that generates random Gaussian surfaces with various α values. Also, practical contact simulations are performed to demonstrate the significance of the proposed equations and also to show the error of using a Gaussian distribution versus a correct asymmetric distribution for the summit heights.
机译:纳亚克(Nayak)提出的随机高斯表面模型对于许多基于峰顶的统计微接触模型都很重要。由于许多表面都具有表面高度的高斯分布,因此通常假定高点分布为高斯分布。在这项工作中,基于Nayak模型,根据带宽参数α推导出山顶高度分布的偏度和峰度。这两个方程的正确性通过使用生成具有各种α值的随机高斯曲面的数值方案来验证。此外,进行了实际的接触模拟,以证明所提出的方程式的重要性,并还显示了对于高程高度使用高斯分布与正确的不对称分布的误差。

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