Ahmed Elsawwaf, Hany El Naggar, Farrukh A. Choksi, Habib Amin
{"title":"无粘性土中长阶梯锥桩和直桩侧阻力的创新FE-AI模型","authors":"Ahmed Elsawwaf, Hany El Naggar, Farrukh A. Choksi, Habib Amin","doi":"10.1016/j.trgeo.2025.101700","DOIUrl":null,"url":null,"abstract":"<div><div>Step-tapered piles provide a cost-effective alternative to large-diameter piles for supporting transportation infrastructure subjected to significant lateral forces. However, the literature currently lacks a straightforward method for estimating the lateral bearing capacity of these specialized piles. The present study aims to equip designers with practical and reliable predictive models for the lateral capacity of long step-tapered piles in cohesionless soils. To this end, a comprehensive 3D finite element (FE) analysis was conducted to investigate the parameters influencing the performance of long step-tapered piles and to generate an extensive database suitable for evolutionary polynomial regression (EPR) modelling. The FE results indicated that the optimal design of step-tapered piles involves enlarging the cross-section over a length (<span><math><msub><mtext>L</mtext><mtext>emb</mtext></msub></math></span>) corresponding to the depth of the apparent plastic hinge, i.e., the location of the maximum bending moment. Based on the parametric study encompassing 870 cases, two robust predictive models were developed, one for straight piles and one for step-tapered piles, using multi-objective genetic algorithm-based evolutionary polynomial regression (EPR-MOGA). The proposed models incorporate factors related to pile geometry, bending stiffness, and the complex behaviour of soil under lateral loading. Their effectiveness was validated against field measurements for straight piles and FE results for step-tapered piles.</div></div>","PeriodicalId":56013,"journal":{"name":"Transportation Geotechnics","volume":"55 ","pages":"Article 101700"},"PeriodicalIF":5.5000,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Innovative FE-AI modelling of lateral resistance of long step-tapered and straight piles in cohesionless soils\",\"authors\":\"Ahmed Elsawwaf, Hany El Naggar, Farrukh A. Choksi, Habib Amin\",\"doi\":\"10.1016/j.trgeo.2025.101700\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Step-tapered piles provide a cost-effective alternative to large-diameter piles for supporting transportation infrastructure subjected to significant lateral forces. However, the literature currently lacks a straightforward method for estimating the lateral bearing capacity of these specialized piles. The present study aims to equip designers with practical and reliable predictive models for the lateral capacity of long step-tapered piles in cohesionless soils. To this end, a comprehensive 3D finite element (FE) analysis was conducted to investigate the parameters influencing the performance of long step-tapered piles and to generate an extensive database suitable for evolutionary polynomial regression (EPR) modelling. The FE results indicated that the optimal design of step-tapered piles involves enlarging the cross-section over a length (<span><math><msub><mtext>L</mtext><mtext>emb</mtext></msub></math></span>) corresponding to the depth of the apparent plastic hinge, i.e., the location of the maximum bending moment. Based on the parametric study encompassing 870 cases, two robust predictive models were developed, one for straight piles and one for step-tapered piles, using multi-objective genetic algorithm-based evolutionary polynomial regression (EPR-MOGA). The proposed models incorporate factors related to pile geometry, bending stiffness, and the complex behaviour of soil under lateral loading. Their effectiveness was validated against field measurements for straight piles and FE results for step-tapered piles.</div></div>\",\"PeriodicalId\":56013,\"journal\":{\"name\":\"Transportation Geotechnics\",\"volume\":\"55 \",\"pages\":\"Article 101700\"},\"PeriodicalIF\":5.5000,\"publicationDate\":\"2025-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Geotechnics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2214391225002193\",\"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":"Transportation Geotechnics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214391225002193","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}
Innovative FE-AI modelling of lateral resistance of long step-tapered and straight piles in cohesionless soils
Step-tapered piles provide a cost-effective alternative to large-diameter piles for supporting transportation infrastructure subjected to significant lateral forces. However, the literature currently lacks a straightforward method for estimating the lateral bearing capacity of these specialized piles. The present study aims to equip designers with practical and reliable predictive models for the lateral capacity of long step-tapered piles in cohesionless soils. To this end, a comprehensive 3D finite element (FE) analysis was conducted to investigate the parameters influencing the performance of long step-tapered piles and to generate an extensive database suitable for evolutionary polynomial regression (EPR) modelling. The FE results indicated that the optimal design of step-tapered piles involves enlarging the cross-section over a length () corresponding to the depth of the apparent plastic hinge, i.e., the location of the maximum bending moment. Based on the parametric study encompassing 870 cases, two robust predictive models were developed, one for straight piles and one for step-tapered piles, using multi-objective genetic algorithm-based evolutionary polynomial regression (EPR-MOGA). The proposed models incorporate factors related to pile geometry, bending stiffness, and the complex behaviour of soil under lateral loading. Their effectiveness was validated against field measurements for straight piles and FE results for step-tapered piles.
期刊介绍:
Transportation Geotechnics is a journal dedicated to publishing high-quality, theoretical, and applied papers that cover all facets of geotechnics for transportation infrastructure such as roads, highways, railways, underground railways, airfields, and waterways. The journal places a special emphasis on case studies that present original work relevant to the sustainable construction of transportation infrastructure. The scope of topics it addresses includes the geotechnical properties of geomaterials for sustainable and rational design and construction, the behavior of compacted and stabilized geomaterials, the use of geosynthetics and reinforcement in constructed layers and interlayers, ground improvement and slope stability for transportation infrastructures, compaction technology and management, maintenance technology, the impact of climate, embankments for highways and high-speed trains, transition zones, dredging, underwater geotechnics for infrastructure purposes, and the modeling of multi-layered structures and supporting ground under dynamic and repeated loads.