156943

Prediction of Pile Bearing Capacity Using Artificial Neural Networks.

Article

Last updated: 04 Jan 2025

Subjects

-

Tags

Civil Engineering

Abstract

It is well known that the human brain has the advantage of handling disperse and parallel distributed data efficiently. On the basis of this fact, artificial neural networks theory was developed and has been applied to various fields of science successfully. In this study, error back propagation neural networks were utilized to predict the working bearing capacity of piles. The data of performed pile load   tests are used to verify the applicability of the presented neural network procedure. The results showed that the maximum error of prediction did not exceed 25%. Thus, the use of Neural Networks to predict pile capacity seems to be feasible for practical purpose. 

DOI

10.21608/bfemu.2021.156943

Authors

First Name

A.

Last Name

Elgamal

MiddleName

-

Affiliation

Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

Email

-

City

Mansoura

Orcid

-

First Name

A.

Last Name

Elnimr

MiddleName

-

Affiliation

Professor of Structural Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

Email

-

City

Mansoura

Orcid

-

First Name

Adel

Last Name

Ahmed Dif

MiddleName

-

Affiliation

Professor of Structural Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

Email

-

City

Mansoura

Orcid

-

First Name

A.

Last Name

Gabr

MiddleName

-

Affiliation

Assistant Professor of Geotechnical Structural Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura.,Egypt.

Email

-

City

Mansoura

Orcid

-

Volume

37

Article Issue

3

Related Issue

17852

Issue Date

2012-09-01

Receive Date

2012-07-11

Publish Date

2021-03-16

Page Start

1

Page End

14

Print ISSN

1110-0923

Online ISSN

2735-4202

Link

https://bfemu.journals.ekb.eg/article_156943.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=156943

Order

4

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

Prediction of Pile Bearing Capacity Using Artificial Neural Networks.

Details

Type

Article

Created At

22 Jan 2023