非高斯随机粗糙表面计算机仿真的研究

在摩擦学、光学等工程领域中,对于表面粗糙度的研究,总是以生成的随机粗糙表面为研究对象,且大多数研究都是建立在高斯随机表面的基础上,而实际的工程表面大多是非高斯随机表面.为此提出了一种基于快速傅里叶变换(FFT)、Johnson转换系统和自相关函数等理论仿真生成非高斯随机粗糙表面的方法,它可以生成具有给定偏斜度和峰度的随机粗糙表面.为了说明该方法的可行性和正确性,给出了不同偏斜度、峰度和自相关长度下的计算机仿真结果.结果表明:在一定的条件下用该方法仿真生成的非高斯随机粗糙表面,其输入的随机表面的统计参数与输出的统计参数吻合较好.

Computer Simulation of Non-Gaussian Random Rough Surfaces

The random rough surfaces are always used as research object of surface morphology in many engineering fields, such as tribology and optical surface. Most researches are based on Gaussian random rough surface, but the exact engineering surfaces are always non-Gaussian random rough surfaces. A new method based on Fast Fourier Transform (FFT), Johnson translator system and autocorrelation function was presented to simulate non-Gaussian rough random surfaces with given skewness and kurtosis. In order to demons...