Prediction of Pile Capacity using Artificial Neural Network

Soil is unpredictable and pile design usually depends on results of Soil Investigation(S.I) and Standard Penetration Test(S.P.T) Basically the main problem is how to derive the parameters from the early stages of construction in order to maximise benefits. Besides from load test results,parameters f...

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Main Author:	Nasrul Izzad B Ideris, Nasrul Izzad
Format:	Final Year Project
Language:	English
Published:	Universiti Teknologi Petronas 2010
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://utpedia.utp.edu.my/1011/1/0001.pdf http://utpedia.utp.edu.my/1011/
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Institution:	Universiti Teknologi Petronas
Language:	English

id	my-utp-utpedia.1011
record_format	eprints
spelling	my-utp-utpedia.10112017-01-25T09:43:37Z http://utpedia.utp.edu.my/1011/ Prediction of Pile Capacity using Artificial Neural Network Nasrul Izzad B Ideris, Nasrul Izzad TA Engineering (General). Civil engineering (General) Soil is unpredictable and pile design usually depends on results of Soil Investigation(S.I) and Standard Penetration Test(S.P.T) Basically the main problem is how to derive the parameters from the early stages of construction in order to maximise benefits. Besides from load test results,parameters from the actual on-site results can be obtained. Therefore,this study is to evaluate and perform an analysis to determine the reliability of soil properties toward pile bearing capacity and skin friction capacity. This project start by collecting and summarized all soil data pertaining the site and all pile load test results. Universiti Teknologi Petronas 2010 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/1011/1/0001.pdf Nasrul Izzad B Ideris, Nasrul Izzad (2010) Prediction of Pile Capacity using Artificial Neural Network. Universiti Teknologi Petronas, Seri Iskandar, Tronoh ,Perak. (Unpublished)
institution	Universiti Teknologi Petronas
building	UTP Resource Centre
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Petronas
content_source	UTP Electronic and Digitized Intellectual Asset
url_provider	http://utpedia.utp.edu.my/
language	English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Nasrul Izzad B Ideris, Nasrul Izzad Prediction of Pile Capacity using Artificial Neural Network
description	Soil is unpredictable and pile design usually depends on results of Soil Investigation(S.I) and Standard Penetration Test(S.P.T) Basically the main problem is how to derive the parameters from the early stages of construction in order to maximise benefits. Besides from load test results,parameters from the actual on-site results can be obtained. Therefore,this study is to evaluate and perform an analysis to determine the reliability of soil properties toward pile bearing capacity and skin friction capacity. This project start by collecting and summarized all soil data pertaining the site and all pile load test results.
format	Final Year Project
author	Nasrul Izzad B Ideris, Nasrul Izzad
author_facet	Nasrul Izzad B Ideris, Nasrul Izzad
author_sort	Nasrul Izzad B Ideris, Nasrul Izzad
title	Prediction of Pile Capacity using Artificial Neural Network
title_short	Prediction of Pile Capacity using Artificial Neural Network
title_full	Prediction of Pile Capacity using Artificial Neural Network
title_fullStr	Prediction of Pile Capacity using Artificial Neural Network
title_full_unstemmed	Prediction of Pile Capacity using Artificial Neural Network
title_sort	prediction of pile capacity using artificial neural network
publisher	Universiti Teknologi Petronas
publishDate	2010
url	http://utpedia.utp.edu.my/1011/1/0001.pdf http://utpedia.utp.edu.my/1011/
_version_	1739830719237062656

Prediction of Pile Capacity using Artificial Neural Network

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