Rock and Soil Mechanics ›› 2025, Vol. 46 ›› Issue (5): 1595-1604.doi: 10.16285/j.rsm.2024.0938

• Geotechnical Engineering • Previous Articles     Next Articles

Rapid estimation method for in-site rock mass mechanical parameters using tunnel boring machine tunneling parameters

SHE Lei1, ZHAO Yang1, LI Yan-long1, LI Dong-feng2, SONG Qing2, ZHENG Ji-guang2, CHEN Chen2   

  1. 1. State Key Laboratory of Water Engineering Ecology and Environment in Arid Area, Xi’an University of Technology, Xi’an, Shaanxi 710048, China; 2. Power China Sinohydro Bureau 3 Co., Ltd., Xi’an, Shaanxi 710024, China
  • Received:2024-07-29 Accepted:2024-10-18 Online:2025-05-06 Published:2025-05-07
  • Supported by:
    This work was supported by the Youth Fund of National Natural Science Foundation Projects (52309171), the Postdoctoral Fellowship Program of CPSF (GZB20230589) and and the Scientific Research Program Funded by Education Department of Shaanxi Provincial Government (23JK0560).

Abstract:

Uniaxial compressive strength σcm of rock mass is a crucial mechanical parameters affecting the excavation and support optimization of tunnel boring machine (TBM) surrounding rock. To rapidly and accurately evaluate in-situ rock mass mechanical parameters in TBM engineering, a comprehensive TBM database with 159 sets of rock mass characteristics, tunneling parameters, and technical indexes was developed from four typical long-distance hard rock tunnels in China. Additionally, the specific energy SETBM theoretical equation, suitable for the TBM cutterhead rock breaking system, was proposed and derived. The empirical model between SETBM and σcm was established, and its validity was verified and discussed. The results show that, compared to FPI, SETBM effectively eliminates the influence of varying TBM excavation parameters and technical indexes, serving as a new reliable index for accurately evaluating rock mass excavatability. The empirical relationship of uniaxial compressive strength of rock mass derived from four rock mass classification criteria demonstrates strong performance (coefficient of determination R2>0.84), with the prediction model based on rock mass integrity index Kv exhibiting the best performance. The new model’s average relative error for predicting uniaxial compressive strength of rock mass, modified by upper and lower limit equations, is 11.37%, indicating high overall prediction accuracy. Utilizing extensive TBM tunneling parameters offers a novel approach to quickly estimate the uniaxial compressive strength of in-situ rock mass.

Key words: tunnel boring machine, uniaxial compressive strength of rock mass, tunneling parameters, classification system of rock mass, specific energy

CLC Number: 

  • TU 470
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