Research on Deformation and Force Prediction of Karst Tunnel Excavation
- DOI
- 10.2991/978-94-6463-856-1_34How to use a DOI?
- Keywords
- Pier; Karst tunnel; Construction Response; Polar Analysis; Multiple Linear Regression
- Abstract
This study investigates a 60-meter-long karst tunnel through a finite difference model developed in FLAC3D, incorporating pore water seepage effects. An orthogonal experimental design was adopted, constructing a standard L64.8.9 orthogonal array (nine factors at eight levels, 64 test cases) to evaluate parameter sensitivities. Range analysis revealed that the elastic modulus of surrounding rock, dry unit weight, and burial depth exerted dominant influences on crown settlement and invert heave, while internal friction angle, cohesion, Poisson’s ratio, and thickness of the initial shotcrete support predominantly governed maximum tensile stresses at the crown and invert. Multiple linear regression models were established to quantify relationships between four deformation/stress indices and nine influencing factors, demonstrating high fitting accuracy. These empirical formulations provide actionable insights for predicting and mitigating tunnel deformations in analogous karst geology.
- Copyright
- © 2025 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 - Jiangshuai Huang PY - 2025 DA - 2025/09/22 TI - Research on Deformation and Force Prediction of Karst Tunnel Excavation BT - Proceedings of the 2025 International Conference on Resilient City and Safety Engineering (ICRCSE 2025) PB - Atlantis Press SP - 361 EP - 377 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-856-1_34 DO - 10.2991/978-94-6463-856-1_34 ID - Huang2025 ER -