Development Of An Expert System For The Evaluation Of Potential Instability Analysis Of Cut Slopes
Expert System for Potential Instability Slope Analysis codename ExPISA was developed to generate the computerized stereonet, hence to predict the mode of potential failure of cut slope. It will be used for slope monitoring and maintenance during early stage of construction of the slope. The syste...
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my-upm-ir.121972011-07-14T08:15:43Z Development Of An Expert System For The Evaluation Of Potential Instability Analysis Of Cut Slopes 2003-05 Khalit, Saipul Iskandar Expert System for Potential Instability Slope Analysis codename ExPISA was developed to generate the computerized stereonet, hence to predict the mode of potential failure of cut slope. It will be used for slope monitoring and maintenance during early stage of construction of the slope. The system was developed through consultations of field expertise and field studies. The purpose of the domain expert was to determine suitable geological discontinuities parameters which are involved in the development of the Expert System. The discontinuity data were obtained and analysed using computerized stereonet. The database *. * sgp file developed in sequential file format which can be updated and referred through the ExPISA itself. The Expert System was able to predict potential slope instability as wedge failure, planar failure or wedge and planar failure. The Expert System was validated and verified using twenty case studies from two different location and assumption of 'IFTHEN- ELSE' programming technique. 2003-05 Thesis http://psasir.upm.edu.my/id/eprint/12197/ http://psasir.upm.edu.my/id/eprint/12197/1/FK_2003_42_A.pdf application/pdf en public masters Universiti Putra Malaysia Faculty of Engineering English |
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Universiti Putra Malaysia |
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PSAS Institutional Repository |
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English English |
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Khalit, Saipul Iskandar Development Of An Expert System For The Evaluation Of Potential Instability Analysis Of Cut Slopes |
description |
Expert System for Potential Instability Slope Analysis codename ExPISA was
developed to generate the computerized stereonet, hence to predict the mode of
potential failure of cut slope. It will be used for slope monitoring and maintenance
during early stage of construction of the slope. The system was developed through
consultations of field expertise and field studies. The purpose of the domain expert
was to determine suitable geological discontinuities parameters which are involved in
the development of the Expert System. The discontinuity data were obtained and
analysed using computerized stereonet. The database *. * sgp file developed in
sequential file format which can be updated and referred through the ExPISA itself.
The Expert System was able to predict potential slope instability as wedge failure,
planar failure or wedge and planar failure. The Expert System was validated and
verified using twenty case studies from two different location and assumption of 'IFTHEN-
ELSE' programming technique. |
format |
Thesis |
qualification_level |
Master's degree |
author |
Khalit, Saipul Iskandar |
author_facet |
Khalit, Saipul Iskandar |
author_sort |
Khalit, Saipul Iskandar |
title |
Development Of An Expert System For The Evaluation Of Potential Instability Analysis Of Cut Slopes
|
title_short |
Development Of An Expert System For The Evaluation Of Potential Instability Analysis Of Cut Slopes
|
title_full |
Development Of An Expert System For The Evaluation Of Potential Instability Analysis Of Cut Slopes
|
title_fullStr |
Development Of An Expert System For The Evaluation Of Potential Instability Analysis Of Cut Slopes
|
title_full_unstemmed |
Development Of An Expert System For The Evaluation Of Potential Instability Analysis Of Cut Slopes
|
title_sort |
development of an expert system for the evaluation of potential instability analysis of cut slopes |
granting_institution |
Universiti Putra Malaysia |
granting_department |
Faculty of Engineering |
publishDate |
2003 |
url |
http://psasir.upm.edu.my/id/eprint/12197/1/FK_2003_42_A.pdf |
_version_ |
1747811326740135936 |