Predicting the uplift capacity of circular anchors in frictional-cohesive soils using Kolmogorov-Arnold networks.

ABSTRACT: This study investigates the uplift capacity of circular anchors embedded in frictional-cohesive soils under surcharge. The analysis focuses on three critical stability factors F_c, F_q, and F_γ using Terzaghi's principle of superposition to evaluate ultimate bearing capacity. These factors are influenced by the soil's internal friction angle, the geometric ratio of anchor depth to diameter, and the interface roughness between the anchor and soil. Three predictive models for these stability factors are developed using advanced computational methods, including finite element limit analysis (FELA) with adaptive meshing and Kolmogorov-Arnold Networks (KAN). This research is the first to apply KAN in anchor behavior studies, demonstrating its enhanced ability to mo

SUBMITTER: Vu-Hoang T 

PROVIDER: S-EPMC12032257 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature