Monte Carlo simulation model for waste soil settlement based on soil mechanics

Research output: Contribution to journalArticle

Abstract

Waste soil settlement at open dumping area is analyzed based on Soil Mechanics Based Model. Monte Carlo Simulations method is used to simulate the algorithm from 50 numbers of iterations to 5000 numbers of iterations. The Monte Carlo Simulation is done using Risk Amp software to generate the standard deviation, mean value and settlement of the area. The simulations help in increasing the effectiveness of total settlement calculations. Validation of the Monte Carlo Simulation method has been done by comparing the Monte Carlo Simulations with Excel Spreadsheet for 50 numbers of iterations. In terms of the standard deviation values by comparison, Case 1 and Case 2 show that the percentage of differences in standard deviation values approximately 45% and 6% respectively. Later, the comparison in terms of settlement (ΔH) shows that in Case 1 and Case 2 the percentage of difference is 92% and 52% respectively. The results of Monte Carlo show that the difference are not much when the analysis is done manually and automatically using Monte Carlo simulation tools. But the difference in 50% to 90% in accuracy of the data could be improved if the Monte Carlo simulation method is used. The ΔH from Monte Carlo simulations for Soil Mechanics Based Model is in the range of 0.0896 meters to 0.0914 meters which was more than 0.05 meters of allowable settlement for Case 1. Moreover, as reported in Case 2, ΔH is in the range of 10.9 meters to 20.7 meters which was more than allowable settlement. Thus by combining with both analyses, the total settlement could be concluded to be 24.2 meters for foundation design consideration.

Original languageEnglish
Pages (from-to)1793-1805
Number of pages13
JournalElectronic Journal of Geotechnical Engineering
Volume17 L
Publication statusPublished - 03 Jul 2012

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Soil mechanics
soil mechanics
Soils
simulation
soil
Spreadsheets
Monte Carlo simulation
spreadsheet
software

All Science Journal Classification (ASJC) codes

  • Geotechnical Engineering and Engineering Geology

Cite this

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title = "Monte Carlo simulation model for waste soil settlement based on soil mechanics",
abstract = "Waste soil settlement at open dumping area is analyzed based on Soil Mechanics Based Model. Monte Carlo Simulations method is used to simulate the algorithm from 50 numbers of iterations to 5000 numbers of iterations. The Monte Carlo Simulation is done using Risk Amp software to generate the standard deviation, mean value and settlement of the area. The simulations help in increasing the effectiveness of total settlement calculations. Validation of the Monte Carlo Simulation method has been done by comparing the Monte Carlo Simulations with Excel Spreadsheet for 50 numbers of iterations. In terms of the standard deviation values by comparison, Case 1 and Case 2 show that the percentage of differences in standard deviation values approximately 45{\%} and 6{\%} respectively. Later, the comparison in terms of settlement (ΔH) shows that in Case 1 and Case 2 the percentage of difference is 92{\%} and 52{\%} respectively. The results of Monte Carlo show that the difference are not much when the analysis is done manually and automatically using Monte Carlo simulation tools. But the difference in 50{\%} to 90{\%} in accuracy of the data could be improved if the Monte Carlo simulation method is used. The ΔH from Monte Carlo simulations for Soil Mechanics Based Model is in the range of 0.0896 meters to 0.0914 meters which was more than 0.05 meters of allowable settlement for Case 1. Moreover, as reported in Case 2, ΔH is in the range of 10.9 meters to 20.7 meters which was more than allowable settlement. Thus by combining with both analyses, the total settlement could be concluded to be 24.2 meters for foundation design consideration.",
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Monte Carlo simulation model for waste soil settlement based on soil mechanics. / Mohd Pauzi, Nur Irfah.

In: Electronic Journal of Geotechnical Engineering, Vol. 17 L, 03.07.2012, p. 1793-1805.

Research output: Contribution to journalArticle

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