Prediction of axial capacity of piles driven in non-cohesive soils based on neural networks approach

Prediction of axial capacity of piles driven in non-cohesive soils based on neural networks approach

This paper presents an application of two advanced approaches, Artificial Neural Networks (ANN) and Princi­pal Component Analysis (PCA) in predicting the axial pile capacity. The combination of these two approaches allowed the development of an ANN model that provides more accurate axial capacity pr...

Full description

Bibliographic Details
Main Authors: Amel Benali, Bakhta Boukhatem, Mahmoud N. Hussien, Ammar Nechnech, Mourad Karray
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2017-03-01
Series:Journal of Civil Engineering and Management
Subjects:
neural networks
principal components analysis
failure zone
ultimate capacity
pile load tests
FE
Online Access:http://journals.vgtu.lt/index.php/JCEM/article/view/975

Internet

http://journals.vgtu.lt/index.php/JCEM/article/view/975

Similar Items