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Evolution of Shear Surface Morphology of Jointed Rock Masses Based on Gaussian Filtering Method under Freeze-Thaw Cycles

This study aims to quantify the shear surface morphology of jointed rock and its evolution under shearing, cyclic freezing, and thawing using the Gaussian filtering method. Gaussian filtering method enables the construction of the (large-scale) waviness surface and the (small-scale) unevenness surfa...

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Autores principales: Lei, Daxing, Chen, Yifan, Lin, Hang, Zhang, Chunshun, Lu, Zhigang, Wang, Guangli, Zhang, Yaoping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9227056/
https://www.ncbi.nlm.nih.gov/pubmed/35744287
http://dx.doi.org/10.3390/ma15124228
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author Lei, Daxing
Chen, Yifan
Lin, Hang
Zhang, Chunshun
Lu, Zhigang
Wang, Guangli
Zhang, Yaoping
author_facet Lei, Daxing
Chen, Yifan
Lin, Hang
Zhang, Chunshun
Lu, Zhigang
Wang, Guangli
Zhang, Yaoping
author_sort Lei, Daxing
collection PubMed
description This study aims to quantify the shear surface morphology of jointed rock and its evolution under shearing, cyclic freezing, and thawing using the Gaussian filtering method. Gaussian filtering method enables the construction of the (large-scale) waviness surface and the (small-scale) unevenness surface of a digitized surface (created by laser scanning). Both waviness and unevenness surfaces are then quantified by roughness coefficient ratio (S) and degradation degrees of the waviness surface (D(w)) and unevenness surface (D(r)). These (microscopic) morphological parameters (S, D(w) and D(r)) are subsequently used to explain the development of the (macroscopic) shear strength of the jointed rocks on direct shear tests. The results indicate that compared with fresh jointed rocks, the freezing and thawing causes the potential shear surface asperities to be easier to damage and fail under shear load. Such damage is well represented by the significant decrease in D(w) and D(r). On the other hand, with the increase of the freeze-thaw cycle (N), D(w) increases while D(r) reaches the maximum at an early stage of the cycle, where D(r) > D(w). This difference reveals the underlying shear mechanism microscopically; that is, in the initial stage, the shear surface morphology is mainly dominated by the unevenness surface D(r), and then it is controlled by the waviness surface D(w) during the freeze-thaw cycle.
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spelling pubmed-92270562022-06-25 Evolution of Shear Surface Morphology of Jointed Rock Masses Based on Gaussian Filtering Method under Freeze-Thaw Cycles Lei, Daxing Chen, Yifan Lin, Hang Zhang, Chunshun Lu, Zhigang Wang, Guangli Zhang, Yaoping Materials (Basel) Article This study aims to quantify the shear surface morphology of jointed rock and its evolution under shearing, cyclic freezing, and thawing using the Gaussian filtering method. Gaussian filtering method enables the construction of the (large-scale) waviness surface and the (small-scale) unevenness surface of a digitized surface (created by laser scanning). Both waviness and unevenness surfaces are then quantified by roughness coefficient ratio (S) and degradation degrees of the waviness surface (D(w)) and unevenness surface (D(r)). These (microscopic) morphological parameters (S, D(w) and D(r)) are subsequently used to explain the development of the (macroscopic) shear strength of the jointed rocks on direct shear tests. The results indicate that compared with fresh jointed rocks, the freezing and thawing causes the potential shear surface asperities to be easier to damage and fail under shear load. Such damage is well represented by the significant decrease in D(w) and D(r). On the other hand, with the increase of the freeze-thaw cycle (N), D(w) increases while D(r) reaches the maximum at an early stage of the cycle, where D(r) > D(w). This difference reveals the underlying shear mechanism microscopically; that is, in the initial stage, the shear surface morphology is mainly dominated by the unevenness surface D(r), and then it is controlled by the waviness surface D(w) during the freeze-thaw cycle. MDPI 2022-06-15 /pmc/articles/PMC9227056/ /pubmed/35744287 http://dx.doi.org/10.3390/ma15124228 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lei, Daxing
Chen, Yifan
Lin, Hang
Zhang, Chunshun
Lu, Zhigang
Wang, Guangli
Zhang, Yaoping
Evolution of Shear Surface Morphology of Jointed Rock Masses Based on Gaussian Filtering Method under Freeze-Thaw Cycles
title Evolution of Shear Surface Morphology of Jointed Rock Masses Based on Gaussian Filtering Method under Freeze-Thaw Cycles
title_full Evolution of Shear Surface Morphology of Jointed Rock Masses Based on Gaussian Filtering Method under Freeze-Thaw Cycles
title_fullStr Evolution of Shear Surface Morphology of Jointed Rock Masses Based on Gaussian Filtering Method under Freeze-Thaw Cycles
title_full_unstemmed Evolution of Shear Surface Morphology of Jointed Rock Masses Based on Gaussian Filtering Method under Freeze-Thaw Cycles
title_short Evolution of Shear Surface Morphology of Jointed Rock Masses Based on Gaussian Filtering Method under Freeze-Thaw Cycles
title_sort evolution of shear surface morphology of jointed rock masses based on gaussian filtering method under freeze-thaw cycles
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9227056/
https://www.ncbi.nlm.nih.gov/pubmed/35744287
http://dx.doi.org/10.3390/ma15124228
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