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Prediction of Soil Pore Water Pressure Using Polynomial Kernel Support Vector Machine

Knowledge in soil pore water pressure is important in slope stability analysis. The fluctuation of soil pore water pressure is mainly affect by the rainfall intensity. The pore water pressure can cause effect on the soil strength. A few problems has been identified in obtaining the pore water pre...

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Main Author: Muhd Hasbi, Muhamad Alif
Format: Final Year Project
Language:English
Published: Universiti Teknologi PETRONAS 2017
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://utpedia.utp.edu.my/23027/1/FINAL%20DISSERTATION.pdf
http://utpedia.utp.edu.my/23027/
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spelling my-utp-utpedia.230272022-03-11T04:16:34Z http://utpedia.utp.edu.my/23027/ Prediction of Soil Pore Water Pressure Using Polynomial Kernel Support Vector Machine Muhd Hasbi, Muhamad Alif TA Engineering (General). Civil engineering (General) Knowledge in soil pore water pressure is important in slope stability analysis. The fluctuation of soil pore water pressure is mainly affect by the rainfall intensity. The pore water pressure can cause effect on the soil strength. A few problems has been identified in obtaining the pore water pressure reading which are time consuming and intensive labor work that are from field instrumentation. However, the development of soft-computing in nowadays has become focus as alternative technology to monitor the changes of pore water pressure in soil, and scope in this study is to use support vector machine. Then, a study on developing a model to predict the soil pore water using polynomial kernel support vector machine and to evaluate the model performance has been conducted. A considerable good correlation between observed and predicted pore water pressure has been found by the end of the studies with performance evaluation of R2 and RMSE of 0.93 and 0.60 respectively A slope in Universiti Teknologi PETRONAS, Perak has been chosen as study scope to predict the soil pore water pressure. Universiti Teknologi PETRONAS 2017-09 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/23027/1/FINAL%20DISSERTATION.pdf Muhd Hasbi, Muhamad Alif (2017) Prediction of Soil Pore Water Pressure Using Polynomial Kernel Support Vector Machine. Universiti Teknologi PETRONAS. (Submitted)
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)
Muhd Hasbi, Muhamad Alif
Prediction of Soil Pore Water Pressure Using Polynomial Kernel Support Vector Machine
description Knowledge in soil pore water pressure is important in slope stability analysis. The fluctuation of soil pore water pressure is mainly affect by the rainfall intensity. The pore water pressure can cause effect on the soil strength. A few problems has been identified in obtaining the pore water pressure reading which are time consuming and intensive labor work that are from field instrumentation. However, the development of soft-computing in nowadays has become focus as alternative technology to monitor the changes of pore water pressure in soil, and scope in this study is to use support vector machine. Then, a study on developing a model to predict the soil pore water using polynomial kernel support vector machine and to evaluate the model performance has been conducted. A considerable good correlation between observed and predicted pore water pressure has been found by the end of the studies with performance evaluation of R2 and RMSE of 0.93 and 0.60 respectively A slope in Universiti Teknologi PETRONAS, Perak has been chosen as study scope to predict the soil pore water pressure.
format Final Year Project
author Muhd Hasbi, Muhamad Alif
author_facet Muhd Hasbi, Muhamad Alif
author_sort Muhd Hasbi, Muhamad Alif
title Prediction of Soil Pore Water Pressure Using Polynomial Kernel Support Vector Machine
title_short Prediction of Soil Pore Water Pressure Using Polynomial Kernel Support Vector Machine
title_full Prediction of Soil Pore Water Pressure Using Polynomial Kernel Support Vector Machine
title_fullStr Prediction of Soil Pore Water Pressure Using Polynomial Kernel Support Vector Machine
title_full_unstemmed Prediction of Soil Pore Water Pressure Using Polynomial Kernel Support Vector Machine
title_sort prediction of soil pore water pressure using polynomial kernel support vector machine
publisher Universiti Teknologi PETRONAS
publishDate 2017
url http://utpedia.utp.edu.my/23027/1/FINAL%20DISSERTATION.pdf
http://utpedia.utp.edu.my/23027/
_version_ 1739833021871161344
score 13.244413

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