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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,...

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Autores principales: Liu, Jun, Zhang, Qingsong, Liu, An, Chen, Guanghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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