Predicting friction capacity of driven piles using new combinations of neural networks and metaheuristic optimization algorithms

Predicting friction capacity of driven piles using new combinations of neural networks and metaheuristic optimization algorithms

Friction capacity is a principal characteristic in designing driven piles. Considering the complexities in analyzing the behavior of piles, many studies have recommended the use of machine learning for this purpose. However, the used methodologies need to be updated and improved with respect to rece...

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Bibliographic Details
Main Authors: Liu Jie, Parisa Sahraeian, Kseniya I. Zykova, Majid Mirahmadi, Moncef L. Nehdi
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Case Studies in Construction Materials
Subjects:
Driven piles
Friction capacity
Neural simulation
Metaheuristic schemes
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509523006447

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