Duy Tan Tran , Jim Shiau , Suraparb Keawsawasvong , Pitthaya Jamsawang
{"title":"埋在天然粘土中的地埋桩基础的VHM失效包络:FELA和FPA-CatBoost优化算法","authors":"Duy Tan Tran , Jim Shiau , Suraparb Keawsawasvong , Pitthaya Jamsawang","doi":"10.1016/j.oceaneng.2025.120779","DOIUrl":null,"url":null,"abstract":"<div><div>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 (<em>L/D</em>) and anisotropic strength (<em>r</em><sub><em>e</em></sub>) on spudcan behaviour under combined loading conditions is investigated. Failure envelopes are derived through three-dimensional finite element limit analysis (3D FELA) in both (<em>H/s</em><sub><em>uTC</em></sub><em>A</em>, <em>M/s</em><sub><em>uTC</em></sub><em>AD</em>) and (<em>V/V</em><sub><em>ult</em></sub>, <em>H/s</em><sub><em>uTC</em></sub><em>A</em>, <em>M/s</em><sub><em>uTC</em></sub><em>AD</em>) spaces. The study also illustrates spudcan foundation failure mechanisms, providing valuable insights for designing footings in anisotropic clays under combined loads (<em>V</em>, <em>H</em>, <em>M</em>). 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.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"325 ","pages":"Article 120779"},"PeriodicalIF":5.5000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"VHM failure envelopes of spudcan foundations buried in natural clay: FELA and FPA-CatBoost optimization algorithms\",\"authors\":\"Duy Tan Tran , Jim Shiau , Suraparb Keawsawasvong , Pitthaya Jamsawang\",\"doi\":\"10.1016/j.oceaneng.2025.120779\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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 (<em>L/D</em>) and anisotropic strength (<em>r</em><sub><em>e</em></sub>) on spudcan behaviour under combined loading conditions is investigated. Failure envelopes are derived through three-dimensional finite element limit analysis (3D FELA) in both (<em>H/s</em><sub><em>uTC</em></sub><em>A</em>, <em>M/s</em><sub><em>uTC</em></sub><em>AD</em>) and (<em>V/V</em><sub><em>ult</em></sub>, <em>H/s</em><sub><em>uTC</em></sub><em>A</em>, <em>M/s</em><sub><em>uTC</em></sub><em>AD</em>) spaces. The study also illustrates spudcan foundation failure mechanisms, providing valuable insights for designing footings in anisotropic clays under combined loads (<em>V</em>, <em>H</em>, <em>M</em>). 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.</div></div>\",\"PeriodicalId\":19403,\"journal\":{\"name\":\"Ocean Engineering\",\"volume\":\"325 \",\"pages\":\"Article 120779\"},\"PeriodicalIF\":5.5000,\"publicationDate\":\"2025-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ocean Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0029801825004937\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ocean Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0029801825004937","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
VHM failure envelopes of spudcan foundations buried in natural clay: FELA and FPA-CatBoost optimization algorithms
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.
期刊介绍:
Ocean Engineering provides a medium for the publication of original research and development work in the field of ocean engineering. Ocean Engineering seeks papers in the following topics.