Swarm-Based Extreme Gradient Boosting Models for Predicting the Undrained Stability Factor of Twin Circular Tunnels
Article
| Article Title | Swarm-Based Extreme Gradient Boosting Models for Predicting the Undrained Stability Factor of Twin Circular Tunnels |
|---|---|
| ERA Journal ID | 4202 |
| Article Category | Article |
| Authors | Duong, Nhat Tan, Shiau, Jim, Keawsawasvong, Suraparb and Lai, Van Qui |
| Journal Title | International Journal of Geomechanics |
| Journal Citation | 26 (1) |
| Article Number | 04025320 |
| Number of Pages | 17 |
| Year | 2025 |
| Publisher | American Society of Civil Engineers |
| Place of Publication | United States |
| ISSN | 1532-3641 |
| 1943-5622 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1061/IJGNAI.GMENG-11839 |
| Web Address (URL) | https://ascelibrary.org/doi/10.1061/IJGNAI.GMENG-11839 |
| Abstract | This study examines the undrained stability of twin circular tunnels in anisotropic and heterogeneous clays using three-dimensional adaptive finite-element limit analysis (3D-AFELA). Four design variables are considered in the study. They are the cover-depth ratio (C/D), the spacing ratio (S/D), the anisotropy ratio (re), and the undrained shear strength gradient ratio (ρD/suTC0). A detailed parametric study, utilizing various design charts and contour plots, is conducted to discuss the impacts of these variables on the stability factor (N) and the failure mechanism. Using the data set from 3D-AFELA, three hybrid machine-learning models are proposed for stability predictions: GWO-XGBoost, WOA-XGBoost, and SHO-XGBoost. These models combine nature-inspired optimization algorithms (gray wolf optimizer, whale optimization algorithm, and sea-horse optimizer) with Extreme Gradient Boosting (XGBoost). Compared to XGBoost's default settings, hybrid approaches can reduce the model's error by nearly 60%. Among these, the SHO-XGBoost model notably lowers computational costs. Additionally, permutation feature importance and the cosine amplitude method are applied in the sensitivity analysis, revealing that ρD/suTC0 is the most important variable. The findings from this study provide a comprehensive and practical approach to addressing the undrained stability of 3D twin circular tunnels in anisotropic and heterogeneous clays. |
| Keywords | Three-dimensional finite-element limit analysis (3D-FELA); Undrained stability; Anisotropy; Twin tunnels; Heterogeneity; Hybrid XGBoost |
| Contains Sensitive Content | Does not contain sensitive content |
| ANZSRC Field of Research 2020 | 400502. Civil geotechnical engineering |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Byline Affiliations | Ho Chi Minh City University of Technology, Vietnam |
| Vietnam National University, Vietnam | |
| School of Science, Engineering and Digital Technologies - Engineering | |
| Thammasat University, Thailand |
https://research.usq.edu.au/item/100w61/swarm-based-extreme-gradient-boosting-models-for-predicting-the-undrained-stability-factor-of-twin-circular-tunnels
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