Enhancing the Accuracy in Predicting the Maximum Bearing Capacity of Bored Piles Using Derivative Analysis and FEM Simulation

This study focuses on determining the maximum load-bearing capacity of bored piles under complex geological conditions through a combination of numerical simulations and experimental data analysis. Current evaluation methods often show significant errors when compared to the results from on-site static load tests, especially in densely populated urban areas where construction space is limited, and costs are high. To address these limitations, the study employs the Finite Element Analysis (FEM) method along with cubic regression analysis and second-order derivatives to accurately predict the load-bearing capacity of bored piles. Concurrently, field experiments are conducted to validate and supplement the numerical simulation data. The research methodology includes conducting on-site static load tests in combination with numerical simulations to assess the load-bearing capacity of bored piles with a diameter of 1 m, using grade B35 concrete, in geological conditions characterized by thick sand layers and stable groundwater levels. The results from the FEM model are compared with the experimental data collected to verify accuracy and reliability. The study demonstrates that the FEM model can accurately predict stress distribution and deformation within the soil-pile system with minimal error and shows a high correlation between the simulation and experimental results. These findings confirm that the FEM model, combined with cubic regression analysis, is an effective tool for predicting the load-bearing capacity of bored piles, providing a reliable alternative to traditional field methods. This approach helps optimize design, reduce costs, and minimize risks during construction.