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Safety Evaluation of Anchoring-Grouting Rock-Support Interaction in Deep Underground Excavation Based on Support Vector Machine Learning

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Iranian Journal of Science and Technology, Transactions of Civil Engineering Aims and scope Submit manuscript

Abstract

This paper aims to propose a probabilistic approach to evaluate tunnel safety considering anchoring-grouting effect and arch failure mechanism based on mechanical analysis, machine learning and reliability calculation. Cohesion and internal friction angle of rock mass influenced by grouting, bolt preload and bolt layout are deduced based on Mohr–Coulomb criterion. Test inversion analysis has achieved promising results. Hence, the coupling model of reinforced and unreinforced rock mass is constructed to obtain the ground reaction curve. The support characteristic curve of different kinds of supporting arches are investigated based on numerical simulation which highlights the influence of structural buckling. Thereafter, a case study based on a deep tunnel in loosening rock mass is investigated to study the rock-support interaction and to evaluate engineering reliability. The research results provide insights into the design of tunnel support schemes through the viewpoint of convergence-confinement method and statistical analysis, which provides basis for safety design in tunnel excavation.

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Acknowledgements

This work was supported by the China Scholarship Council (No. 202006220157), the Open Foundation by Anhui Province Engineering Technology Research Center of Urban Construction and Underground Space (APETRC-2020-2), the Doctoral Research Foundation of Shandong Jianzhu University (Grant/Award No.: XNBS20106) and the Foundation of China State Key Laboratory of High-speed Rail Technology (Grant/Award No.: 2020YJ109).

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Authors and Affiliations

  1. Research Center of Geotechnical and Structural Engineering, Shandong University, Jinan, 250061, China

    Wei Lu

  2. School of Civil Engineering, Ludong University, Yantai, 264025, China

    Lei Wang & Kezhi Song

  3. School of Transportation Engineering, Shandong Jianzhu University, Jinan, 250101, China

    Huibin Sun

  4. Yantai Jinjian Engineering Design Limited Company, Yantai, 264000, China

    Dongmei Chen

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  1. Wei Lu
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  2. Lei Wang
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  3. Kezhi Song
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  4. Huibin Sun
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  5. Dongmei Chen
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Correspondence to Lei Wang.

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Lu, W., Wang, L., Song, K. et al. Safety Evaluation of Anchoring-Grouting Rock-Support Interaction in Deep Underground Excavation Based on Support Vector Machine Learning. Iran J Sci Technol Trans Civ Eng 46, 3805–3817 (2022). https://doi.org/10.1007/s40996-021-00814-5

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  • DOI: https://doi.org/10.1007/s40996-021-00814-5

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