Regression Analysis and Inversion Methods for Ground Stress Field Modeling in Underground Engineering

DOI

10.2991/978-94-6463-726-7_10How to use a DOI?

Keywords

ground stress field inversion; regression analysis; underground engineering; modeling

Abstract

Accurate ground stress field modeling is essential for the design and construction of underground engineering projects. This paper presents a regression-based method for ground stress field inversion, employing least squares fitting to enhance precision and efficiency in stress field modeling. By selecting appropriate linear and nonlinear stress functions, this approach allows for adaptable modeling depending on geological complexity. A detailed case study is presented to demonstrate the application and effectiveness of this method, verifying its feasibility in underground engineering.

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.

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TY  - CONF
AU  - Liang-ze-nan Wang
PY  - 2025
DA  - 2025/06/13
TI  - Regression Analysis and Inversion Methods for Ground Stress Field Modeling in Underground Engineering
BT  - Proceedings of the 2024 6th International Conference on Hydraulic, Civil and Construction Engineering (HCCE 2024)
PB  - Atlantis Press
SP  - 98
EP  - 103
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-726-7_10
DO  - 10.2991/978-94-6463-726-7_10
ID  - Wang2025
ER  -