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A platform for research: civil engineering, architecture and urbanism
Quantitative Characterization Method for Rock Surface Roughness with Different Scale Fluctuation
https://orcid.org/http://orcid.org/0000-0002-7484-3225
https://orcid.org/http://orcid.org/0000-0001-8668-5511
https://orcid.org/http://orcid.org/0000-0002-4955-1749
https://orcid.org/http://orcid.org/0000-0002-1401-1654
https://orcid.org/http://orcid.org/0000-0002-9255-0178
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 SLA was proposed based on the spectral shape parameter ω1, spectral moment λ0, slope k, and angle fractal index C.
Quantitative Characterization Method for Rock Surface Roughness with Different Scale Fluctuation
https://orcid.org/http://orcid.org/0000-0002-7484-3225
https://orcid.org/http://orcid.org/0000-0001-8668-5511
https://orcid.org/http://orcid.org/0000-0002-4955-1749
https://orcid.org/http://orcid.org/0000-0002-1401-1654
https://orcid.org/http://orcid.org/0000-0002-9255-0178
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 SLA was proposed based on the spectral shape parameter ω1, spectral moment λ0, slope k, and angle fractal index C.
Quantitative Characterization Method for Rock Surface Roughness with Different Scale Fluctuation
https://orcid.org/http://orcid.org/0000-0002-7484-3225
https://orcid.org/http://orcid.org/0000-0001-8668-5511
https://orcid.org/http://orcid.org/0000-0002-4955-1749
https://orcid.org/http://orcid.org/0000-0002-1401-1654
https://orcid.org/http://orcid.org/0000-0002-9255-0178
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 SLA was proposed based on the spectral shape parameter ω1, spectral moment λ0, slope k, and angle fractal index C.
Quantitative Characterization Method for Rock Surface Roughness with Different Scale Fluctuation
KSCE J Civ Eng
Guo, Yuhang (author) / Zhang, Chuanqing (author) / Xiang, Hang (author) / Cui, Guojian (author) / Meng, Fanzhen (author) / Zhou, Hui (author)
KSCE Journal of Civil Engineering ; 26 ; 1695-1711
2022-04-01
17 pages
Article (Journal)
Electronic Resource
English
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