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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Autores principales: Mohammed Amin Benbouras, Alexandru-Ionuţ Petrişor, Hamma Zedira, Laala Ghelani, Lina Lefilef
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
pile-bearing capacity
machine learning
deep neural network
<i>K</i>-fold cross-validation approach
sensitivity analysis
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Acceso en línea:https://doaj.org/article/87b2eb427c144d3aaf2d2b429c5d7c07
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https://doaj.org/article/87b2eb427c144d3aaf2d2b429c5d7c07

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