Pile bearing capacity

This paper is aimed to apply hybrid machine learning model namely GA-ANFIS, which is a combination of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Genetic Algorithm (GA), for the prediction of total bearing capability of driven piles.

8p viengfa 28-10-2024 3 2   Download

This paper presents the results of applying the Artificial Neural Network (ANN) model in determining pile bearing capacity. The traditional methods used to calculate the bearing capacity of piles still have many disadvantages that need to be overcome such as high cost, complicated calculation, time-consuming.

8p viengfa 28-10-2024 2 2   Download

The article establishes a correlation function between the load-bearing capacity of traditional steel pipe piles enhanced with two helical plates and the distance of those plates. This analysis focuses on the performance of piles in coral gravelly sand conditions, addressing a significant practical issue with considerable scientific value.

12p viyamanaka 06-02-2025 3 1   Download

This study introduces a practical and efficient methodology to improve the estimation of the ultimate axial bearing capacity of Pre-bored Grouted Planted Nodular (PGPN) piles, addressing a critical need in geotechnical engineering.

25p viyamanaka 06-02-2025 3 2   Download