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Prediction of Pile Capacity using Artificial Neural Network

Nasrul Izzad B Ideris, Nasrul Izzad (2010) Prediction of Pile Capacity using Artificial Neural Network. Universiti Teknologi Petronas, Seri Iskandar, Tronoh ,Perak. (Unpublished)

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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.

Item Type: Final Year Project
Subject: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Engineering > Civil
Depositing User: Users 5 not found.
Date Deposited: 11 Jan 2012 12:23
Last Modified: 25 Jan 2017 09:43
URI: http://utpedia.utp.edu.my/id/eprint/1011

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