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A New Advance Classification Method for Surrounding Rock in Tunnels Based on the Set-Pair Analysis and Tunnel Seismic Prediction System

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Abstract

An advance optimized classification method is proposed to accurately predict the surrounding rock classification based on set pair analysis (SPA) and tunnel seismic prediction (TSP). Several factors that greatly affect rock mass classification are selected as evaluation indices of SPA based on analysis of TSP data. Evaluation indices are divided into five grades according to its response characteristics of seismic wave field, and their membership functions are proposed by using frequency statistical method. Entropy weight method is adopted to determine the weights of evaluation indices, and a SPA model is established for optimized classification of surrounding rock. Engineering application of Shimenya Tunnel of Yi-Ba Highway is taken as a case study, and proved that the evaluation indices are easy to obtain and the evaluation results are accurate and reliable. The SPA–TSP method can be further used for other tunnel engineering.

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Acknowledgements

This work was supported by National Natural Science Foundation of China (No. 51609129, No. 51709159, No. 51679131), Shandong Postdoctoral Innovation Project Special Foundation (No. 201502025), China Postdoctoral Science Foundation (No. 2017T100492, No. 2017M612273), The State Key Laboratory for GeoMechanics and Deep Underground Engineering, China University of Mining & Technology (SKLGDUEK1702),The Fundamental Research Funds of Shandong University (Grant No. 2015GN029), Foundation of State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and the Ministry of Science and Technology (Grant No. MDPC201707).

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Authors and Affiliations

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

    Lin Bu, Shu-cai Li, Shao-shuai Shi, Xiao-kun Xie, Li-ping Li & Zong-qing Zhou

  2. State Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou, 221116, China

    Shao-shuai Shi & Zong-qing Zhou

  3. State Key Laboratory of Mining Disaster Prevention and Control, Shandong University of Science and Technology, Qingdao, 266590, China

    Shao-shuai Shi & Zhi-jie Wen

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  1. Lin Bu
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  2. Shu-cai Li
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  3. Shao-shuai Shi
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  4. Xiao-kun Xie
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  5. Li-ping Li
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  6. Zong-qing Zhou
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  7. Zhi-jie Wen
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Correspondence to Shao-shuai Shi.

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Bu, L., Li, Sc., Shi, Ss. et al. A New Advance Classification Method for Surrounding Rock in Tunnels Based on the Set-Pair Analysis and Tunnel Seismic Prediction System. Geotech Geol Eng 36, 2403–2413 (2018). https://doi.org/10.1007/s10706-018-0471-5

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