SpringerLink
Log in

Instability Prediction Model of the Shield Tunnel Face Based on the Normal Cloud-PSM

  • UNDERGROUND STRUCTURES
  • Published:
Soil Mechanics and Foundation Engineering Aims and scope

Considering the characteristics of fuzziness and randomness of shield tunnel face instability, normal cloud theory is introduced to establish an instability prediction model of the shield tunnel face based on the normal cloud-PSM (Product Scale Method). Geological, environmental, and tunnel influence factors are selected to set up a comprehensive evaluation index system. A three-dimensional numerical model is brought to determine the grading degree of each quantitative index. Then, the determination degree of the corresponding evaluation grade under each influencing factor is calculated using the normal cloud model. Finally, the product scale method is used to determine the index weight, calculate the comprehensive determination degree, and ascertain the instability risk level of the shield tunnel face according to the maximum membership degree principle. The prediction model is applied to predict the stability of the tunnel face of Chengdu Metro Line 18. The results of the instability prediction model of the shield tunnel face are essentially consistent with those of the fuzzy evaluation method and neural network method. The prediction results are also in good agreement with the real-world results. The prediction model should provide a new approach to the stability prediction of the shield tunnel face in the future.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Germany)

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Reference

  1. Q. Pan and D. Dias, “Three dimensional face stability of a tunnel in weak rock masses subjected to seepage forces,” Tunn. Undergr. Sp. Tech., 71, 555-566 (2018).

    Article  Google Scholar 

  2. X. **a, H. Li, Y. Liu, et al., “A case study on the cavity effect of a water tunnel on the ground vibrations induced by excavating blasts,” Tunn. Undergr. Sp. Tech., 71, 292-297 (2018).

    Article  Google Scholar 

  3. Z. H. Xu, J. Wu, S. C. Li, et al., “Semianalytical solution to determine minimum safety thickness of rock resisting water inrush from filling-type karst caves,” Int. J. of Geomech., 18(2), (2018).

  4. S. Senent and R. Jimenez, “A tunnel face failure mechanism for layered ground, considering the possibility of partial collapse,” Tunn. Undergr. Sp. Tech., 47, 182-192 (2015).

    Article  Google Scholar 

  5. R. Chen, X. S. Yin, and L. Tang, “Centrifugal model tests of tunneling face failure under seepage flow,” Rock & Soil Mech., 36(03), 225-229 (2015).

    Google Scholar 

  6. J. Y. Zheng, X. L. Lv, and F. D. Li, “Numerical simulation for stability of excavated surface of shield tunnels under water level condition,” Tech. Highw. Transp., 86-89 (2014).

  7. H. Chakeri and B. Unver, “A new equation for estimating the maximum surface settlement above tunnels excavated in soft ground,” Environ. Earth. Sci., 71(7), 3195-3210 (2014).

    Article  Google Scholar 

  8. Y. X. Bai, T. Y. Qi, Y. D. Li, et al., “Study on factors influencing face stability in shallow shield tunneling in sandy cobble strata,” Journal of Railw., 35(03), 115-121 (2013).

    Google Scholar 

  9. L. Tang, R. Chen, and X. S. Yin, “Centrifugal model tests on face stability of shield tunnels in dense sand,” Chin. J. of Geotech. Eng., 35(10), 1830-1838 (2013).

    Google Scholar 

  10. W. Zhu, J. S. Qin, and T. H. Lu, “Numerical study on face movement and collapse around shield tunnels in sand,” Chin. J. of Geotech. Eng., 27(8), 897-902 (2005).

    Google Scholar 

  11. M. N. Wang, L. H. Wei, J. F. Lu, et al., “Study of face stability of cobble-soil shield tunnelling at Chengdu metro,” Rock and Soil Mech., 32(01), 99-105 (2011).

    Google Scholar 

  12. Y. Zhou, C. He, Z. Wang, et al., “Study on instability mechanism and control for face of soft rock tunnel,” Aasri Conference on Artificial Intelligence And Industry Application, 407-410 (2011).

  13. A. Delisio and J. Zhao, “Review of the TBM performance in blocky rocks with potential face stability issues,” Underground - the Way To the Future, 1179-1186 (2013).

  14. W. T. Hu, X. L. Lv, and M. S. Huang, “Three-dimensional limit equilibrium solution of the support pressure on the shield face,” Chin. J. of Undergr. Sp. Eng., 07(05), 853-866 (2011).

    Google Scholar 

  15. X. L. Lv, F. D. Li, and M. S. Huang, “Three-dimensional numerical and analytical solutions of limit support pressure at shield tunnel face,” J. of Tongji. Univ. (Natural Sci.), 40(10), 1469-1473 (2012).

    Google Scholar 

  16. L. F. Shen, Z. L. Wang, G. Wei, et al., “Three-dimensional analytical solution for passive limit support pressure during shield tunnelling,” Modern. Tunn. Tech., 51(06), 35-40 (2014).

    Google Scholar 

  17. Z. L. Wang, L. F. Shen, and J. B. **e, “Three-dimensional upper bound solution of limit support pressure during shield tunnelling,” J. of Disas. Preven. Mitiga. Eng., 35(3), 348-353 (2015).

    Google Scholar 

  18. H. Chen, J. B. Zhou, J. J. Wang, X. W. Li, et al., “Safety evaluation indexes and method for traffic environment highway tunnels,” J. of Chang’an Univ. (Natural. Sci. Ed.), 33(04), 54-61 (2013).

  19. J. J. Chen, F. Zhou, J. S. Yang, et al., “Fuzzy analytic hierarchy process for risk evaluation of collapse during construction of mountain tunnel,” Rock and Soil Mech., 33(04), 54-61 (2013).

    Google Scholar 

  20. C. X. Wang, “Calculation of evacuation time by the Monte Carlo method,” Modern. Tunn. Tech., 54(02), 144-148 (2017).

    Google Scholar 

  21. Y. Wang and H. W. Huang, “Hierarchical-fuzzy comprehensive evaluation method for safety assessment of metro tunnels,” Chin. J. of Undergr. Sp. Eng., 24(3), 19-23 (2004).

    Google Scholar 

  22. J. K. Zhou and J. Wu, “Fault tree analysis of the collapse risk in rock Highway Tunnel,” Chin. J. of Undergr. Sp. Eng., 4(6), 991-998 (2008).

    Google Scholar 

  23. H. H. Einstein, “Risk and risk analysis in rock engineering,” Tunn. Undergr. Sp. Tech., No. 2, 141-155 (1996).

  24. J. J. Zheng, C. F. Lin, D. A. Zhao, et al., “Risk assessment of shield tunnel construction cost using fuzzy fault tree,” Chin. J. of Geotech. Eng., No. 4, 501-508 (2011).

  25. Z. H. Chen, J. J. Chen, and J. H. Yang, “Risk analysis of tunnel shield machine driving in construction process based on fuzzy AHP,” Chin. J. of Undergr. Sp. Eng., 9(6), 1427-1432 (2013).

    Google Scholar 

  26. Z. Huang, H. L. Fu, J. B. Zhang, et al., “Comprehensive evaluation model of shield tunnel construction risk based on cloud theory,” J. of Railw. Sci. Eng., 15(11), 298-306 (2018).

    Google Scholar 

  27. H. L. Fu, Z. Huang, H. W. Huang, et al., “Health diagnosis method of shield tunnel structure based on cloud theory,” Chin. J. of Eng., No. 5, 155-162 (2017).

  28. J. P. He, Z. Z. Li, and Y. Q. Shi, “Weight question about comprehensive evaluating dam safety monitoring behavior,” Eng. J. of Wuhan. Univ., 34(3), 13-17 (2001).

    Google Scholar 

  29. D. Y. Li, “Knowledge representation in KDD based on linguistic atoms,” J. of Comput. Sci. Tech-Ch, 12(6), 481-496 (1997).

    Article  Google Scholar 

  30. D. Y. Li, “Knowledge representation and discovery based on linguistic atoms,” Knowledge Based Sys., 15(10), 431-440 (1998).

    Article  Google Scholar 

  31. Y. Y. Zhang, R. J. Liao, L. J. Yang, et al., “An assessment method for insulation condition of power transformer based upon cloud model,” Transac. Chin. Electrotech. Soci., 27(5), 13-20 (2012).

    Google Scholar 

  32. B. Xu, H. L. Wang, and C. C. **a, “Study on comprehensive evaluation of shield tunnel structural defections,” Chin. J. of Undergr. Sp. Eng., 6(1), 201-207 (2010).

    Google Scholar 

  33. L. T. Yang, Q. B. Peng, and F. Li, “The risk assessment of mountain tunnel collapse carried out by fuzzy comprehensive evaluation method,” J. Highw. Transp. Resear. Develop., No. 10, 236-238 (2017).

  34. X. Zhao and B. N. Gu, “Statistical analysis of urban rail transit lines in 2018 China,” Urban Mass Transit., 22(01), 7-13 (2019).

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Geoscience and Technology, Southwest Petroleum University, Chengdu, China

    Junwei Zhang, Congzhou Gao & **nmiao Huang

Authors
  1. Junwei Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Congzhou Gao
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. **nmiao Huang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Junwei Zhang.

Additional information

Translated from Osnovaniya, Fundamenty i Mekhanika Gruntov, No. 5, September-October, 2023.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, J., Gao, C. & Huang, X. Instability Prediction Model of the Shield Tunnel Face Based on the Normal Cloud-PSM. Soil Mech Found Eng 60, 472–484 (2023). https://doi.org/10.1007/s11204-023-09917-9

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11204-023-09917-9

Search

Navigation