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 1 1   Download

In the scope of the paper studying the pile group effect in case of multilayered foundation, especially the effect of porous, medium-tight sand layers in the foundation on the load bearing capacity and subsidence of friction piles, the following issues are clarified: (i) coefficient of pile group in multi-layered foundation, with sand and clayey soil layer; (ii) distribution of forces along the pile shaft; (iii) effect of pile group on settlement of the pile group.

8p vifilm 24-09-2024 4 1   Download

In this study, construction sequence and prediction of axial bearing capacity of M-pile on cohesive soil were introduced. M-pile analysis used with outer diameter of 318.5 mm and thickness of 12.7 mm. The analysis results show that the ultimate bearing capacity prediction of M-pilein soft clay soil considerably increase compared with bored and cast-in-place piles with the same diameter and depth thanks to multiple blades welded along the pile shaft.

8p vifaye 20-09-2024 1 1   Download