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Tunnel collapse risk assessment based on improved quantitative theory III and EW-AHP coupling weight

It is a multi-criteria decision issue to conduct a risk assessment of the tunnel. In this paper, a tunnel collapse risk assessment model based on the improved theory of quantification III and the fuzzy comprehensive evaluation method is proposed. According to the geological conditions and the constr...

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Autores principales: Li, Li, Ni, Bo, Zhang, Shixin, Qiang, Yue, Zhang, Zhongxu, Zhou, Ling, Liu, Gang, Cheng, Longfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9513073/
https://www.ncbi.nlm.nih.gov/pubmed/36163228
http://dx.doi.org/10.1038/s41598-022-19718-z
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author Li, Li
Ni, Bo
Zhang, Shixin
Qiang, Yue
Zhang, Zhongxu
Zhou, Ling
Liu, Gang
Cheng, Longfei
author_facet Li, Li
Ni, Bo
Zhang, Shixin
Qiang, Yue
Zhang, Zhongxu
Zhou, Ling
Liu, Gang
Cheng, Longfei
author_sort Li, Li
collection PubMed
description It is a multi-criteria decision issue to conduct a risk assessment of the tunnel. In this paper, a tunnel collapse risk assessment model based on the improved theory of quantification III and the fuzzy comprehensive evaluation method is proposed. According to the geological conditions and the construction disturbance classification method, the evaluation factors are selected, and the tunnel collapse risk level is divided into 5 levels according to the principle of maximum membership degree. The three groups of scores with the largest correlation ratio are calculated by the theory of quantification III to form the X, Y, and Z axes of the spatial coordinate system, The spatial distance of each evaluation factor is optimized by the Kendall correlation coefficient combined with the empirical formula, so that it can be used to judge the probability of the occurrence of the evaluation factor; taking the coupling of the objective entropy weight method (EW) and the subjective analytic hierarchy process (AHP) as the weight. Finally, the fuzzy comprehensive evaluation method is used to determine the possibility classification of tunnel collapse. Taking the Ka-Shuang water diversion tunnel as a case study, the comparison between the evaluation results of 10 tunnel samples and the status quo of the actual engineering area verifies the reliability of the method.
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spelling pubmed-95130732022-09-28 Tunnel collapse risk assessment based on improved quantitative theory III and EW-AHP coupling weight Li, Li Ni, Bo Zhang, Shixin Qiang, Yue Zhang, Zhongxu Zhou, Ling Liu, Gang Cheng, Longfei Sci Rep Article It is a multi-criteria decision issue to conduct a risk assessment of the tunnel. In this paper, a tunnel collapse risk assessment model based on the improved theory of quantification III and the fuzzy comprehensive evaluation method is proposed. According to the geological conditions and the construction disturbance classification method, the evaluation factors are selected, and the tunnel collapse risk level is divided into 5 levels according to the principle of maximum membership degree. The three groups of scores with the largest correlation ratio are calculated by the theory of quantification III to form the X, Y, and Z axes of the spatial coordinate system, The spatial distance of each evaluation factor is optimized by the Kendall correlation coefficient combined with the empirical formula, so that it can be used to judge the probability of the occurrence of the evaluation factor; taking the coupling of the objective entropy weight method (EW) and the subjective analytic hierarchy process (AHP) as the weight. Finally, the fuzzy comprehensive evaluation method is used to determine the possibility classification of tunnel collapse. Taking the Ka-Shuang water diversion tunnel as a case study, the comparison between the evaluation results of 10 tunnel samples and the status quo of the actual engineering area verifies the reliability of the method. Nature Publishing Group UK 2022-09-26 /pmc/articles/PMC9513073/ /pubmed/36163228 http://dx.doi.org/10.1038/s41598-022-19718-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Li, Li
Ni, Bo
Zhang, Shixin
Qiang, Yue
Zhang, Zhongxu
Zhou, Ling
Liu, Gang
Cheng, Longfei
Tunnel collapse risk assessment based on improved quantitative theory III and EW-AHP coupling weight
title Tunnel collapse risk assessment based on improved quantitative theory III and EW-AHP coupling weight
title_full Tunnel collapse risk assessment based on improved quantitative theory III and EW-AHP coupling weight
title_fullStr Tunnel collapse risk assessment based on improved quantitative theory III and EW-AHP coupling weight
title_full_unstemmed Tunnel collapse risk assessment based on improved quantitative theory III and EW-AHP coupling weight
title_short Tunnel collapse risk assessment based on improved quantitative theory III and EW-AHP coupling weight
title_sort tunnel collapse risk assessment based on improved quantitative theory iii and ew-ahp coupling weight
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9513073/
https://www.ncbi.nlm.nih.gov/pubmed/36163228
http://dx.doi.org/10.1038/s41598-022-19718-z
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