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Nonlinear Strength Reduction Method of Rock Mass in Slope Stability Evaluation
As the strength parameters of rock mass degrade differently during slope instability, different factors should be considered in the strength reduction method. Previous nonlinear reduction methods were essentially implemented based on the Mohr–Coulomb criterion, which was reported not to reflect the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10095804/ https://www.ncbi.nlm.nih.gov/pubmed/37049087 http://dx.doi.org/10.3390/ma16072793 |
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author | Chen, Yifan Chen, Yizhou Lin, Hang Hu, Huihua |
author_facet | Chen, Yifan Chen, Yizhou Lin, Hang Hu, Huihua |
author_sort | Chen, Yifan |
collection | PubMed |
description | As the strength parameters of rock mass degrade differently during slope instability, different factors should be considered in the strength reduction method. Previous nonlinear reduction methods were essentially implemented based on the Mohr–Coulomb criterion, which was reported not to reflect the nonlinear performance of rock mass. To address this deficiency, in this study, the Hoek–Brown criterion was combined with a nonlinear reduction technique for slope stability evaluation. Firstly, based on the classical definition of safety factors, the relationships that should be satisfied by each parameter of the critical slope were derived. The critical curve of the slope regarding the Hoek–Brown constant m(b) and the uniaxial compressive strength of rock mass σ(cmass) was then obtained. On the assumption that the slope parameter deterioration conforms to the shortest path theory, the reduction ratio of σ(cmass) to m(b) was determined. The more objective k-means algorithm was employed to automatically search the potential sliding surface, on which the slope safety factor was calculated as the ratio of sliding resistance to sliding force. Finally, the slopes in published literature were adopted for verification, and the calculated safety factors were compared with those by other methods, which showed better efficacy. |
format | Online Article Text |
id | pubmed-10095804 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100958042023-04-13 Nonlinear Strength Reduction Method of Rock Mass in Slope Stability Evaluation Chen, Yifan Chen, Yizhou Lin, Hang Hu, Huihua Materials (Basel) Article As the strength parameters of rock mass degrade differently during slope instability, different factors should be considered in the strength reduction method. Previous nonlinear reduction methods were essentially implemented based on the Mohr–Coulomb criterion, which was reported not to reflect the nonlinear performance of rock mass. To address this deficiency, in this study, the Hoek–Brown criterion was combined with a nonlinear reduction technique for slope stability evaluation. Firstly, based on the classical definition of safety factors, the relationships that should be satisfied by each parameter of the critical slope were derived. The critical curve of the slope regarding the Hoek–Brown constant m(b) and the uniaxial compressive strength of rock mass σ(cmass) was then obtained. On the assumption that the slope parameter deterioration conforms to the shortest path theory, the reduction ratio of σ(cmass) to m(b) was determined. The more objective k-means algorithm was employed to automatically search the potential sliding surface, on which the slope safety factor was calculated as the ratio of sliding resistance to sliding force. Finally, the slopes in published literature were adopted for verification, and the calculated safety factors were compared with those by other methods, which showed better efficacy. MDPI 2023-03-31 /pmc/articles/PMC10095804/ /pubmed/37049087 http://dx.doi.org/10.3390/ma16072793 Text en © 2023 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 Chen, Yifan Chen, Yizhou Lin, Hang Hu, Huihua Nonlinear Strength Reduction Method of Rock Mass in Slope Stability Evaluation |
title | Nonlinear Strength Reduction Method of Rock Mass in Slope Stability Evaluation |
title_full | Nonlinear Strength Reduction Method of Rock Mass in Slope Stability Evaluation |
title_fullStr | Nonlinear Strength Reduction Method of Rock Mass in Slope Stability Evaluation |
title_full_unstemmed | Nonlinear Strength Reduction Method of Rock Mass in Slope Stability Evaluation |
title_short | Nonlinear Strength Reduction Method of Rock Mass in Slope Stability Evaluation |
title_sort | nonlinear strength reduction method of rock mass in slope stability evaluation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10095804/ https://www.ncbi.nlm.nih.gov/pubmed/37049087 http://dx.doi.org/10.3390/ma16072793 |
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