Technical Papers
Mar 28, 2022

In Situ Stress Field along the Axis of Deeply Buried Tunnel in Southwest China Employing the Segmented Single-Borehole Inversion Method

Publication: International Journal of Geomechanics
Volume 22, Issue 6

Abstract

Investigating the in situ stress field is one of the primary tasks of the tunnel disaster prevention and design stage in a high geostress environment with a strength–stress ratio lower than four. Due to the limited measured data, inversion is the most mainstream method to obtain the in situ stress field in engineering areas. After discussing the influence of the tunnel longitudinal dimension effect on the inversion accuracy, this paper proposed a segmented single-borehole inversion (SSBI) method that uses multiple regression models to characterize the in situ stress field of the tunnel. This method was applied to four deep-buried (467–1,780 m) and super-long (7.2–16.3 km) tunnels in Southwestern China, and the distribution characteristics of the in situ stress field along the tunnel axis in the fault stratum and intrusive rock stratum were analyzed. The results showed that the SSBI method with several regression models had a higher inversion accuracy than the traditional multiple-boreholes inversion (MBI) method with one regression model, e.g., the inversion error decreased from 12.7% to 6.0% in the Muzhailing tunnel, and the inversion error decreased from 30.7% to 6.3% in the Lanjiayan tunnel. Furthermore, the average relative error between the calculated values and the measured values not involved in the inversion was 11.0%, verifying the reliability of the proposed method. The inversion of the in situ stress field in two tunnels with special strata showed that the magnitude and orientation of the in situ stress at the boundaries of the intrusive rock and the fault had changed drastically, and its distribution characteristics had a certain regularity.

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Acknowledgments

This research was supported by the National Natural Science Foundation of China (Grant No. 52008351), the Sichuan Science and Technology Program (Grant No. 2021YJ0539), the project funded by the China Postdoctoral Science Foundation (Project No. 2020TQ0250), and the Fundamental Research Funds for the Central Universities (Grant No. 2682021CX013).

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Go to International Journal of Geomechanics
International Journal of Geomechanics
Volume 22Issue 6June 2022

History

Received: Jun 9, 2021
Accepted: Jan 3, 2022
Published online: Mar 28, 2022
Published in print: Jun 1, 2022
Discussion open until: Aug 28, 2022

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Ph.D. Student, Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong Univ., Chengdu, Sichuan 610031, China. Email: [email protected]
Senior Lecturer, Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong Univ., Chengdu, Sichuan 610031, China (corresponding author). ORCID: https://orcid.org/0000-0002-8652-7561. Email: [email protected]
Chuan He, M.ASCE [email protected]
Professor, Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong Univ., Chengdu, Sichuan 610031, China. Email: [email protected]
Ph.D. Student, Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong Univ., Chengdu, Sichuan 610031, China. Email: [email protected]
Ph.D. Student, Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong Univ., Chengdu, Sichuan 610031, China. Email: [email protected]
Ph.D. Student, Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong Univ., Chengdu, Sichuan 610031, China. Email: [email protected]
Senior Lecturer, Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong Univ., Chengdu, Sichuan 610031, China. Email: [email protected]

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Cited by

  • In situ stress distribution law of fault zone in tunnel site area based on the inversion method with optimized fitting conditions, Frontiers in Earth Science, 10.3389/feart.2022.1031985, 10, (2023).
  • An optimized modeling for in-situ stresses based on Rhino accurate modeling and large-scale transverse isotropic theory, Scientific Reports, 10.1038/s41598-023-28039-8, 13, 1, (2023).

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