Landslide risk assessment analysis using Monte Carlo simulation

Most slope analyse are based on traditional method approach which adopts average valued design parameter are adopted. Consequently, the method yields the single valued estimate of slope stability. The factor of safety approach cannot quantify the probabilities of the failure or level risk associated...

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Main Author:	Ikhwan Zulkefly, Mohd. Kamal
Format:	Thesis
Language:	English
Published:	2012
Subjects:	TA Engineering (General) Civil engineering (General)
Online Access:	http://eprints.utm.my/id/eprint/36558/1/MohdKamalIkhwanZulkeflyMFKA2012.pdf
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id	my-utm-ep.36558
record_format	uketd_dc
spelling	my-utm-ep.365582018-04-27T01:30:43Z Landslide risk assessment analysis using Monte Carlo simulation 2012-08 Ikhwan Zulkefly, Mohd. Kamal TA Engineering (General). Civil engineering (General) Most slope analyse are based on traditional method approach which adopts average valued design parameter are adopted. Consequently, the method yields the single valued estimate of slope stability. The factor of safety approach cannot quantify the probabilities of the failure or level risk associated with a particular design situation because due to the uncertainty exist in the soil. The analysis of the slope stability can be more accurately evaluated through the use of the probabilistic analysis. The analytical method uses the information about the probability distribution of the slope characteristic to determine the probability distribution of the output of the analysis. The objective of the research is to determine the probabilities of slope failure based on a given field study and study effect of statistical parameters in result calculation of failure. Monte Carlo simulation is useful for modelling an attribute that cannot be sampled or measured directly, but can be expressed as a mathematical function of properties that can be sampled. Factor of safety also fits this situation. The methodology of this research is based on the previous relevant papers and journals. The data is collected from the case study of the slope at Majlis Peperiksaan Malaysia, Selayang, Selangor based on the lab report and simulated with SLOPE/W software program. The result deterministic method is 1.184, while for the probability of the slope failure is equal to 9.49%. This is due to low uncertainty in the soil properties. The study also found that the higher the uncertainty of the soil properties of the soil, the higher chance the slope to fail. 2012-08 Thesis http://eprints.utm.my/id/eprint/36558/ http://eprints.utm.my/id/eprint/36558/1/MohdKamalIkhwanZulkeflyMFKA2012.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Civil Engineering Faculty of Civil Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TA Engineering (General) Civil engineering (General)
spellingShingle	TA Engineering (General) Civil engineering (General) Ikhwan Zulkefly, Mohd. Kamal Landslide risk assessment analysis using Monte Carlo simulation
description	Most slope analyse are based on traditional method approach which adopts average valued design parameter are adopted. Consequently, the method yields the single valued estimate of slope stability. The factor of safety approach cannot quantify the probabilities of the failure or level risk associated with a particular design situation because due to the uncertainty exist in the soil. The analysis of the slope stability can be more accurately evaluated through the use of the probabilistic analysis. The analytical method uses the information about the probability distribution of the slope characteristic to determine the probability distribution of the output of the analysis. The objective of the research is to determine the probabilities of slope failure based on a given field study and study effect of statistical parameters in result calculation of failure. Monte Carlo simulation is useful for modelling an attribute that cannot be sampled or measured directly, but can be expressed as a mathematical function of properties that can be sampled. Factor of safety also fits this situation. The methodology of this research is based on the previous relevant papers and journals. The data is collected from the case study of the slope at Majlis Peperiksaan Malaysia, Selayang, Selangor based on the lab report and simulated with SLOPE/W software program. The result deterministic method is 1.184, while for the probability of the slope failure is equal to 9.49%. This is due to low uncertainty in the soil properties. The study also found that the higher the uncertainty of the soil properties of the soil, the higher chance the slope to fail.
format	Thesis
qualification_level	Master's degree
author	Ikhwan Zulkefly, Mohd. Kamal
author_facet	Ikhwan Zulkefly, Mohd. Kamal
author_sort	Ikhwan Zulkefly, Mohd. Kamal
title	Landslide risk assessment analysis using Monte Carlo simulation
title_short	Landslide risk assessment analysis using Monte Carlo simulation
title_full	Landslide risk assessment analysis using Monte Carlo simulation
title_fullStr	Landslide risk assessment analysis using Monte Carlo simulation
title_full_unstemmed	Landslide risk assessment analysis using Monte Carlo simulation
title_sort	landslide risk assessment analysis using monte carlo simulation
granting_institution	Universiti Teknologi Malaysia, Faculty of Civil Engineering
granting_department	Faculty of Civil Engineering
publishDate	2012
url	http://eprints.utm.my/id/eprint/36558/1/MohdKamalIkhwanZulkeflyMFKA2012.pdf
_version_	1747816433591517184

Landslide risk assessment analysis using Monte Carlo simulation

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