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Quantitative Characterization Method for Rock Surface Roughness with Different Scale Fluctuation
Yuhang Guo,Chuanqing Zhang,Hang Xiang,Guojian Cui,Fanzhen Meng,Hui Zhou 대한토목학회 2022 KSCE Journal of Civil Engineering Vol.26 No.4
Quantitative characterization of the surface roughness plays a vital role in the field of rock mechanics. The objectives of this study were to propose a new index that can describe the various morphological characteristics with different scale fluctuation. The power spectral density (PSD) parameters and conventional statistical parameters were used to analyze the roughness of meso-scale grind surfaces, intermediate-scale synthesis surfaces, and macro-scale shear surfaces. The results showed that the PSD parameters (slope k, intercept b, spectral moment λ0, and spectral shape parameters ω1 and ω2) and conventional statistical parameters(RMS and Z2) have evident uniqueness and uniformity in characterizing the roughness with different scale fluctuation. It is necessary to appropriately use the correct parameters for classifying and quantifying the roughness. For this purpose, a new characterization index SLAwas proposed based on the spectral shape parameter ω1, spectral moment λ0, slope k, and angle fractal index C.