Characterization Of Soil Shear Strength Model From Electrical Resistivity And Seismic Refraction Methods

For a robust and detailed subsurface characterization, the present study characterizes soil cohesion and friction angle models from post inversions of electrical resistivity and seismic refraction tomographic datasets, and geotechnical data using shear strength test and multiple linear regression (M...

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Main Author: Bala, Balarabe
Format: Thesis
Language:English
Published: 2022
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Online Access:http://eprints.usm.my/59564/1/BALARABE%20BALA%20-%20TESIS%20cut.pdf
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spelling my-usm-ep.595642023-10-30T04:21:19Z Characterization Of Soil Shear Strength Model From Electrical Resistivity And Seismic Refraction Methods 2022-07 Bala, Balarabe QC1 Physics (General) For a robust and detailed subsurface characterization, the present study characterizes soil cohesion and friction angle models from post inversions of electrical resistivity and seismic refraction tomographic datasets, and geotechnical data using shear strength test and multiple linear regression (MLR) methods. It further correlates the subsurface at various sites from geotechnical and geophysical perspectives using the developed models and validates the reliability and efficacy of the models at different locations. Three models were therefore built; firstly, simple linear models were achieved between shear strength and moisture parameters with only resistivity parameter. Secondly, resistivity and seismic refraction velocity parameters with the shear strength and moisture parameters were determined as the MLR models. Two of the MLR models, soil cohesion and friction angle, were accepted based on the strong relationships among the parameters, such as coefficient of determination (R2), 0.777 and p-values, <0.050, while the other rejected. The obtained coefficients of the accepted models were transferred and applied for the estimations of 2D soil cohesion and internal angle of friction models for validation at Minden_USM, Batu Uban, Cahaya Gemilang and Bukit Gambir areas. The developed models demonstrated good performance, based on the accuracy assessments; < 5%, and < 10% for the root mean square error (RMSE) and mean absolute percentage error (MAPE) respectively. The approach generated, new geotechnical models, rebuilding of subsurface geometries in two-space. 2022-07 Thesis http://eprints.usm.my/59564/ http://eprints.usm.my/59564/1/BALARABE%20BALA%20-%20TESIS%20cut.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Fizik
institution Universiti Sains Malaysia
collection USM Institutional Repository
language English
topic QC1 Physics (General)
spellingShingle QC1 Physics (General)
Bala, Balarabe
Characterization Of Soil Shear Strength Model From Electrical Resistivity And Seismic Refraction Methods
description For a robust and detailed subsurface characterization, the present study characterizes soil cohesion and friction angle models from post inversions of electrical resistivity and seismic refraction tomographic datasets, and geotechnical data using shear strength test and multiple linear regression (MLR) methods. It further correlates the subsurface at various sites from geotechnical and geophysical perspectives using the developed models and validates the reliability and efficacy of the models at different locations. Three models were therefore built; firstly, simple linear models were achieved between shear strength and moisture parameters with only resistivity parameter. Secondly, resistivity and seismic refraction velocity parameters with the shear strength and moisture parameters were determined as the MLR models. Two of the MLR models, soil cohesion and friction angle, were accepted based on the strong relationships among the parameters, such as coefficient of determination (R2), 0.777 and p-values, <0.050, while the other rejected. The obtained coefficients of the accepted models were transferred and applied for the estimations of 2D soil cohesion and internal angle of friction models for validation at Minden_USM, Batu Uban, Cahaya Gemilang and Bukit Gambir areas. The developed models demonstrated good performance, based on the accuracy assessments; < 5%, and < 10% for the root mean square error (RMSE) and mean absolute percentage error (MAPE) respectively. The approach generated, new geotechnical models, rebuilding of subsurface geometries in two-space.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Bala, Balarabe
author_facet Bala, Balarabe
author_sort Bala, Balarabe
title Characterization Of Soil Shear Strength Model From Electrical Resistivity And Seismic Refraction Methods
title_short Characterization Of Soil Shear Strength Model From Electrical Resistivity And Seismic Refraction Methods
title_full Characterization Of Soil Shear Strength Model From Electrical Resistivity And Seismic Refraction Methods
title_fullStr Characterization Of Soil Shear Strength Model From Electrical Resistivity And Seismic Refraction Methods
title_full_unstemmed Characterization Of Soil Shear Strength Model From Electrical Resistivity And Seismic Refraction Methods
title_sort characterization of soil shear strength model from electrical resistivity and seismic refraction methods
granting_institution Universiti Sains Malaysia
granting_department Pusat Pengajian Sains Fizik
publishDate 2022
url http://eprints.usm.my/59564/1/BALARABE%20BALA%20-%20TESIS%20cut.pdf
_version_ 1783729579523833856