Forecasting the Bearing Capacity of the Driven Piles Using Advanced Machine-Learning Techniques

Forecasting the Bearing Capacity of the Driven Piles Using Advanced Machine-Learning Techniques

Estimating the bearing capacity of piles is an essential point when seeking for safe and economic geotechnical structures. However, the traditional methods employed in this estimation are time-consuming and costly. The current study aims at elaborating a new alternative model for predicting the pile...

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Bibliographic Details
Main Authors: Mohammed Amin Benbouras, Alexandru-Ionuţ Petrişor, Hamma Zedira, Laala Ghelani, Lina Lefilef
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Applied Sciences
Subjects:
pile-bearing capacity
machine learning
deep neural network
<i>K</i>-fold cross-validation approach
sensitivity analysis
Online Access:https://www.mdpi.com/2076-3417/11/22/10908

Internet

https://www.mdpi.com/2076-3417/11/22/10908

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