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Stability Analysis of the Horseshoe Tunnel Face in Rock Masses
Accurately estimating the stability of horseshoe tunnel faces remains a challenge, especially when excavating in rock masses. This study aims to propose an analytical model to analyze the stability of the horseshoe tunnel face in rock masses. Based on discretization and “point-by-point” techniques,...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229045/ https://www.ncbi.nlm.nih.gov/pubmed/35744365 http://dx.doi.org/10.3390/ma15124306 |
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author | Liu, Jun Zhang, Qingsong Liu, An Chen, Guanghui |
author_facet | Liu, Jun Zhang, Qingsong Liu, An Chen, Guanghui |
author_sort | Liu, Jun |
collection | PubMed |
description | Accurately estimating the stability of horseshoe tunnel faces remains a challenge, especially when excavating in rock masses. This study aims to propose an analytical model to analyze the stability of the horseshoe tunnel face in rock masses. Based on discretization and “point-by-point” techniques, a rotational failure model for horseshoe tunnel faces is first proposed. Based on the proposed failure model, the upper-bound limit analysis method is then adopted to determine the limit support pressure of the tunnel face under the nonlinear Hoek–Brown failure criterion, and the calculated results are validated by comparisons with the numerical results. Finally, the effects of the rock properties on the limit support pressure and the 3D failure surface are discussed. The results show that (1) compared with the numerical simulation method, the proposed method is an efficient and accurate approach to evaluating the face stability of the horseshoe tunnel; (2) from the parametric analysis, it can be seen that the normalized limit support pressure of the tunnel face decreases with the increasing of geological strength index, GSI, Hoek–Brown coefficient, m(i), and uniaxial compressive strength, σ(ci), and with the decreasing of the disturbance coefficient of rock, D(i); and (3) a larger 3D failure surface is associated with a high value of the normalized limit support pressure. |
format | Online Article Text |
id | pubmed-9229045 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92290452022-06-25 Stability Analysis of the Horseshoe Tunnel Face in Rock Masses Liu, Jun Zhang, Qingsong Liu, An Chen, Guanghui Materials (Basel) Article Accurately estimating the stability of horseshoe tunnel faces remains a challenge, especially when excavating in rock masses. This study aims to propose an analytical model to analyze the stability of the horseshoe tunnel face in rock masses. Based on discretization and “point-by-point” techniques, a rotational failure model for horseshoe tunnel faces is first proposed. Based on the proposed failure model, the upper-bound limit analysis method is then adopted to determine the limit support pressure of the tunnel face under the nonlinear Hoek–Brown failure criterion, and the calculated results are validated by comparisons with the numerical results. Finally, the effects of the rock properties on the limit support pressure and the 3D failure surface are discussed. The results show that (1) compared with the numerical simulation method, the proposed method is an efficient and accurate approach to evaluating the face stability of the horseshoe tunnel; (2) from the parametric analysis, it can be seen that the normalized limit support pressure of the tunnel face decreases with the increasing of geological strength index, GSI, Hoek–Brown coefficient, m(i), and uniaxial compressive strength, σ(ci), and with the decreasing of the disturbance coefficient of rock, D(i); and (3) a larger 3D failure surface is associated with a high value of the normalized limit support pressure. MDPI 2022-06-17 /pmc/articles/PMC9229045/ /pubmed/35744365 http://dx.doi.org/10.3390/ma15124306 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 Liu, Jun Zhang, Qingsong Liu, An Chen, Guanghui Stability Analysis of the Horseshoe Tunnel Face in Rock Masses |
title | Stability Analysis of the Horseshoe Tunnel Face in Rock Masses |
title_full | Stability Analysis of the Horseshoe Tunnel Face in Rock Masses |
title_fullStr | Stability Analysis of the Horseshoe Tunnel Face in Rock Masses |
title_full_unstemmed | Stability Analysis of the Horseshoe Tunnel Face in Rock Masses |
title_short | Stability Analysis of the Horseshoe Tunnel Face in Rock Masses |
title_sort | stability analysis of the horseshoe tunnel face in rock masses |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229045/ https://www.ncbi.nlm.nih.gov/pubmed/35744365 http://dx.doi.org/10.3390/ma15124306 |
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