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Stability Analysis and Construction Parameter Optimization of Tunnels in the Fractured Zone of Faults

In order to improve the construction method of highway tunnel fault, improve the excavation level, improve the construction efficiency, reduce the project cost, and shorten the construction period, so as to find a specific road, this paper puts forward the research method of tunnel stability analysi...

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Detalles Bibliográficos
Autores principales: Huang, Banma, Chen, Haibo, Duan, Chenglong, Li, Wenhu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453103/
https://www.ncbi.nlm.nih.gov/pubmed/36090807
http://dx.doi.org/10.1155/2022/2211499
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author Huang, Banma
Chen, Haibo
Duan, Chenglong
Li, Wenhu
author_facet Huang, Banma
Chen, Haibo
Duan, Chenglong
Li, Wenhu
author_sort Huang, Banma
collection PubMed
description In order to improve the construction method of highway tunnel fault, improve the excavation level, improve the construction efficiency, reduce the project cost, and shorten the construction period, so as to find a specific road, this paper puts forward the research method of tunnel stability analysis and construction parameter optimization in the fault fracture zone. First, this paper analyzes the specific geographical and geological environment of the construction site. Second, this paper compares and analyzes the effects of the drilling and blasting method and full-face tunnel boring machine (TBM) in construction and further analyzes the surrounding rock deformation, over excavation, and under excavation, as well as the range of loose circles when the surrounding rock is stable. Then, this paper discusses the minimum smooth blasting parameters under these conditions. Finally, the actual blasting effect of tunnel construction is tested and the optimization algorithm model of tunnel fault drilling and blasting parameters is established. The results show that the proposed optimization model of drilling and blasting construction parameters for highway tunnel faults based on the Support Vector Regression (SVR) algorithm combined with a genetic algorithm (GA) has a short calculation time and high parameter optimization accuracy. It is very feasible to optimize the construction parameters of the fault drilling and blasting method, which can greatly improve the construction efficiency, carry out the detailed simulation, reduce the cost, and increase safety. In summary, it has a certain reference significance for the optimization of highway tunnel construction and future research by drilling and blasting method under complex geological conditions in my country.
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spelling pubmed-94531032022-09-09 Stability Analysis and Construction Parameter Optimization of Tunnels in the Fractured Zone of Faults Huang, Banma Chen, Haibo Duan, Chenglong Li, Wenhu Int J Anal Chem Research Article In order to improve the construction method of highway tunnel fault, improve the excavation level, improve the construction efficiency, reduce the project cost, and shorten the construction period, so as to find a specific road, this paper puts forward the research method of tunnel stability analysis and construction parameter optimization in the fault fracture zone. First, this paper analyzes the specific geographical and geological environment of the construction site. Second, this paper compares and analyzes the effects of the drilling and blasting method and full-face tunnel boring machine (TBM) in construction and further analyzes the surrounding rock deformation, over excavation, and under excavation, as well as the range of loose circles when the surrounding rock is stable. Then, this paper discusses the minimum smooth blasting parameters under these conditions. Finally, the actual blasting effect of tunnel construction is tested and the optimization algorithm model of tunnel fault drilling and blasting parameters is established. The results show that the proposed optimization model of drilling and blasting construction parameters for highway tunnel faults based on the Support Vector Regression (SVR) algorithm combined with a genetic algorithm (GA) has a short calculation time and high parameter optimization accuracy. It is very feasible to optimize the construction parameters of the fault drilling and blasting method, which can greatly improve the construction efficiency, carry out the detailed simulation, reduce the cost, and increase safety. In summary, it has a certain reference significance for the optimization of highway tunnel construction and future research by drilling and blasting method under complex geological conditions in my country. Hindawi 2022-08-31 /pmc/articles/PMC9453103/ /pubmed/36090807 http://dx.doi.org/10.1155/2022/2211499 Text en Copyright © 2022 Banma Huang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Huang, Banma
Chen, Haibo
Duan, Chenglong
Li, Wenhu
Stability Analysis and Construction Parameter Optimization of Tunnels in the Fractured Zone of Faults
title Stability Analysis and Construction Parameter Optimization of Tunnels in the Fractured Zone of Faults
title_full Stability Analysis and Construction Parameter Optimization of Tunnels in the Fractured Zone of Faults
title_fullStr Stability Analysis and Construction Parameter Optimization of Tunnels in the Fractured Zone of Faults
title_full_unstemmed Stability Analysis and Construction Parameter Optimization of Tunnels in the Fractured Zone of Faults
title_short Stability Analysis and Construction Parameter Optimization of Tunnels in the Fractured Zone of Faults
title_sort stability analysis and construction parameter optimization of tunnels in the fractured zone of faults
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453103/
https://www.ncbi.nlm.nih.gov/pubmed/36090807
http://dx.doi.org/10.1155/2022/2211499
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