2016
DOI: 10.1098/rspa.2016.0524
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Characterization of the surface roughness of sand particles using an advanced fractal approach

Abstract: The surface roughness of soil grains affects the mechanical behaviour of soils, but the characterization of real soil grain roughness is still limited in both quantity and quality. A new method is proposed, which applies the power spectral density (PSD), typically used in tribology, to optical interferometry measurements of soil grain surfaces. The method was adapted to characterize the roughness of soil grains separately from their shape, allowing the scale of the roughness to be determined in the form of a w… Show more

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Cited by 51 publications
(56 citation statements)
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“…The SPM included a cantilever tip connected to a probe with the laser beam, which was used to measure the height difference at each point and at the standard level (mean height), in nanometers, finally acquiring a 3-dimensional surface image profile for the certain surface domain of a slab ( Figure 3). The information acquired from SPM analysis is useful not only for the surface image but also for more quantitative parameters to evaluate the roughness degree of the surface [50,51]. Several surface roughness parameters have been developed, and in this study, a surface roughness value (SR RMS ) was used to reduce all of the information in the 3-dimensional surface image to a single number representing the degree of the surface roughness [52,53].…”
Section: Figurementioning
confidence: 99%
“…The SPM included a cantilever tip connected to a probe with the laser beam, which was used to measure the height difference at each point and at the standard level (mean height), in nanometers, finally acquiring a 3-dimensional surface image profile for the certain surface domain of a slab ( Figure 3). The information acquired from SPM analysis is useful not only for the surface image but also for more quantitative parameters to evaluate the roughness degree of the surface [50,51]. Several surface roughness parameters have been developed, and in this study, a surface roughness value (SR RMS ) was used to reduce all of the information in the 3-dimensional surface image to a single number representing the degree of the surface roughness [52,53].…”
Section: Figurementioning
confidence: 99%
“…So far, a 3D analysis of surfaces has been made possible with the development of suitable testing apparatus, such as optical interferometry (e.g. [2,4,[20][21][22][23]) and X-ray micro Computed-Tomography (CT) [24]. However, all of these are limited to sand-sized particles.…”
Section: Three-dimensional (3d) Surface Measurements Have Been Prefermentioning
confidence: 99%
“…[25]). To enable the surface measurements to be compared at the two scales a new method is proposed whereby an open surface from digitized particles is defined and analyzed by fractal analysis using the power spectral density method [22].…”
Section: Three-dimensional (3d) Surface Measurements Have Been Prefermentioning
confidence: 99%
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