Grey Correlation Analysis of Factors Influencing the Stability of Loess Strata in Shield Tunneling
- DOI
- 10.2991/978-94-6463-398-6_60How to use a DOI?
- Keywords
- Loess strata; Grey correlation analysis; Sensitivity analysis; Surrounding rock displacement; FLAC3D
- Abstract
In the context of shield tunneling through loess strata, this study utilizes a refined simulation model in FLAC3D to calculate a total of 30 parameters associated with five factors influencing the maximum displacement of the surrounding rock. Through grey correlation analysis, the impact of each factor on tunnel stability is assessed. The results indicate that the maximum displacement of the surrounding rock exhibits a decreasing trend with an increase in the silo pressure, grouting material strength, and soil deformability, while it shows an increasing trend with greater tunnel depth and soil density. Both tunnel depth and soil density exhibit grey correlation coefficients exceeding 0.9, establishing them as the predominant factors influencing tunnel stability. Silo pressure, grouting material strength, and soil deformability all demonstrate grey correlation coefficients of approximately 0.5, designating them as secondary factors in this analysis.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Haijun Zhao AU - Heyi Liu AU - Jiangrong Pei AU - Tiannan Chen PY - 2024 DA - 2024/04/24 TI - Grey Correlation Analysis of Factors Influencing the Stability of Loess Strata in Shield Tunneling BT - Proceedings of the 2023 5th International Conference on Hydraulic, Civil and Construction Engineering (HCCE 2023) PB - Atlantis Press SP - 609 EP - 620 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-398-6_60 DO - 10.2991/978-94-6463-398-6_60 ID - Zhao2024 ER -