VHM failure envelopes of spudcan foundations buried in natural clay: FELA and FPA-CatBoost optimization algorithms
Article
Article Title | VHM failure envelopes of spudcan foundations buried in natural clay: FELA and FPA-CatBoost optimization algorithms |
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ERA Journal ID | 4710 |
Article Category | Article |
Authors | Tran, Duy Tan, Shiau, Jim, Keawsawasvong, Suraparb and Jamsawang, Pitthaya |
Journal Title | Ocean Engineering |
Journal Citation | 325 |
Article Number | 120779 |
Number of Pages | 20 |
Year | 2025 |
Publisher | Elsevier |
Place of Publication | United Kingdom |
ISSN | 0029-8018 |
1873-5258 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.oceaneng.2025.120779 |
Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S0029801825004937 |
Abstract | This study provides a comprehensive analysis of the undrained failure envelope for spudcan foundations in anisotropic clays using the AUS failure criterion as the soil strength model. The influence of embedment depth (L/D) and anisotropic strength (re) on spudcan behaviour under combined loading conditions is investigated. Failure envelopes are derived through three-dimensional finite element limit analysis (3D FELA) in both (H/suTCA, M/suTCAD) and (V/Vult, H/suTCA, M/suTCAD) spaces. The study also illustrates spudcan foundation failure mechanisms, providing valuable insights for designing footings in anisotropic clays under combined loads (V, H, M). Additionally, an innovative soft-computing approach is introduced: a machine learning model that integrates categorical boosting (CatBoost) with the flower pollination algorithm (FPA) for optimized predictions of the spudcan failure envelope. The proposed FPA-CatBoost model is validated against numerical FELA results, demonstrating a strong correlation and offering engineers a reliable tool for determining spudcan foundation failure envelopes under varied loading conditions. |
Keywords | Failure envelope; Spudcan; Anisotropic clay; CatBoost; Machine learning |
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 | Thammasat University, Thailand |
Ho Chi Minh City University of Transport, Vietnam | |
School of Engineering | |
King Mongkut's Institute of Technology Ladkrabang (KMITL), Thailand |
https://research.usq.edu.au/item/zwv5q/vhm-failure-envelopes-of-spudcan-foundations-buried-in-natural-clay-fela-and-fpa-catboost-optimization-algorithms
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