Physical and numerical modelling of the inherent variability of shear strength in soil mechanics

Chenari, RJ; Fatahi, B; Ghoreishi, M; Taleb, A

Physical and numerical modelling of the inherent variability of shear strength in soil mechanics

Chenari, RJ Fatahi, B

Ghoreishi, M Taleb, A

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Publisher:: TECHNO-PRESS
Publication Type:: Journal Article
Citation:: Geomechanics and Engineering, 2019, 17, (1), pp. 31-45
Issue Date:: 2019-01-20

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Field	Value	Language
dc.contributor.author	Chenari, RJ
dc.contributor.author	Fatahi, B https://orcid.org/0000-0002-7920-6946
dc.contributor.author	Ghoreishi, M
dc.contributor.author	Taleb, A
dc.date.accessioned	2020-05-11T22:44:22Z
dc.date.available	2020-05-11T22:44:22Z
dc.date.issued	2019-01-20
dc.identifier.citation	Geomechanics and Engineering, 2019, 17, (1), pp. 31-45
dc.identifier.issn	2005-307X
dc.identifier.issn	2092-6219
dc.identifier.uri	http://hdl.handle.net/10453/140643
dc.description.abstract	© 2019 Techno-Press, Ltd. In this study the spatial variability of soils is substantiated physically and numerically by using random field theory. Heterogeneous samples are fabricated by combining nine homogeneous soil clusters that are assumed to be elements of an adopted random field. Homogeneous soils are prepared by mixing different percentages of kaolin and bentonite at water contents equivalent to their respective liquid limits. Comprehensive characteristic laboratory tests were carried out before embarking on direct shear experiments to deduce the basic correlations and properties of nine homogeneous soil clusters that serve to reconstitute the heterogeneous samples. The tests consist of Atterberg limits, and Oedometric and unconfined compression tests. The undrained shear strength of nine soil clusters were measured by the unconfined compression test data, and then correlations were made between the water content and the strength and stiffness of soil samples with different consistency limits. The direct shear strength of heterogeneous samples of different stochastic properties was then evaluated by physical and numerical modelling using FISH code programming in finite difference software of FLAC 3D . The results of the experimental and stochastic numerical analyses were then compared. The deviation of numerical simulations from direct shear load-displacement profiles taken from different sources were discussed, potential sources of error was introduced and elaborated. This study was primarily to explain the mathematical and physical procedures of sample preparation in stochastic soil mechanics. It can be extended to different problems and applications in geotechnical engineering discipline to take in to account the variability of strength and deformation parameters.
dc.language	English
dc.publisher	TECHNO-PRESS
dc.relation.ispartof	Geomechanics and Engineering
dc.relation.isbasedon	10.12989/gae.2019.17.1.031
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.subject	0905 Civil Engineering
dc.title	Physical and numerical modelling of the inherent variability of shear strength in soil mechanics
dc.type	Journal Article
utslib.citation.volume	17
utslib.for	0905 Civil Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2020-05-11T22:44:20Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	17
utslib.start-page	31
utslib.citation.issue	1

Abstract:

© 2019 Techno-Press, Ltd. In this study the spatial variability of soils is substantiated physically and numerically by using random field theory. Heterogeneous samples are fabricated by combining nine homogeneous soil clusters that are assumed to be elements of an adopted random field. Homogeneous soils are prepared by mixing different percentages of kaolin and bentonite at water contents equivalent to their respective liquid limits. Comprehensive characteristic laboratory tests were carried out before embarking on direct shear experiments to deduce the basic correlations and properties of nine homogeneous soil clusters that serve to reconstitute the heterogeneous samples. The tests consist of Atterberg limits, and Oedometric and unconfined compression tests. The undrained shear strength of nine soil clusters were measured by the unconfined compression test data, and then correlations were made between the water content and the strength and stiffness of soil samples with different consistency limits. The direct shear strength of heterogeneous samples of different stochastic properties was then evaluated by physical and numerical modelling using FISH code programming in finite difference software of FLAC 3D . The results of the experimental and stochastic numerical analyses were then compared. The deviation of numerical simulations from direct shear load-displacement profiles taken from different sources were discussed, potential sources of error was introduced and elaborated. This study was primarily to explain the mathematical and physical procedures of sample preparation in stochastic soil mechanics. It can be extended to different problems and applications in geotechnical engineering discipline to take in to account the variability of strength and deformation parameters.

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http://hdl.handle.net/10453/140643