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Novel model for risk assessment of shield tunnelling in soil-rock mixed strata

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Abstract

Shield tunnelling presents numerous potential risks particularly in complex geological environments. In this study, we propose a novel fuzzy model for assessing the risk of tunnelling in soil-rock mixed strata. The proposed model incorporates the fuzzy setpair analysis (FSPA) method into fuzzy c-means (FCM) clustering to overcome the limitations of conventional data normalisation. Data pertaining to tunnelling machine, deformation, and vibration are employed to construct an index system using mutual information algorithms for feature selection. The intercriteria importance though intercriteria correlation is employed to weight the indicators, and the FSPA method is adopted to calculate the connection number. Subsequently, the results are classified by the FCM with a modified objective function that considers the importance of risk indicators to derive the risk level of each ring in real time. The proposed model is applied to a case study of a shield tunnelling project in Guangzhou, China. The analysis results indicate a higher risk level from Ring 1572 onwards, which necessitates a judicious regulation of the thrust force and earth pressure. This novel method provides a practical and reliable tool for guiding risk decisions during the tunnel construction.

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Acknowledgements

The research work was funded by “The Pearl River Talent Recruitment Program” in 2019 (Grant No. 2019CX01G338), Guangdong Province and the Scientific Research Initiation Grant of Shantou University for New Faculty Member (Grant No. NTF19024-2019). Additionally, the first author would like to thank the China Scholarship Council for providing a visiting PhD scholarship [Grant No. 202306230006] in Singapore. The source of the financial support is gratefully acknowledged.

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Authors and Affiliations

  1. Department of Civil Engineering, School of Naval Architecture, Ocean, and Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China

    **n-Hui Zhou

  2. MOE Key Laboratory of Intelligent Manufacturing Technology, Department of Civil Engineering and Smart Cites, College of Engineering, Shantou University, Shantou, 515063, Guangdong, China

    **n-Hui Zhou & Shui-Long Shen

  3. Discipline of Civil and Infrastructure Engineering, School of Engineering, Royal Melbourne Institute of Technology (RMIT), Victoria, 3001, Australia

    Annan Zhou

Authors
  1. **n-Hui Zhou
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Contributions

X-HZ: Writing—Original Draft, Investigation, Methodology, Software, Visualization. AZ: Methodology, Investigation, Writing—Reviewing and Editing. S-LS: Conceptualization, Supervision, Funding acquisition, Data curation.

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Correspondence to Shui-Long Shen.

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Zhou, XH., Zhou, A. & Shen, SL. Novel model for risk assessment of shield tunnelling in soil-rock mixed strata. Acta Geotech. (2024). https://doi.org/10.1007/s11440-023-02110-0

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