Modelling the Shear Behaviour of Clean Rock Discontinuities Using Artificial Neural Networks

Dantas Neto, SA; Indraratna, B; Oliveira, DAF; de Assis, AP

Modelling the Shear Behaviour of Clean Rock Discontinuities Using Artificial Neural Networks

Dantas Neto, SA Indraratna, B

Oliveira, DAF de Assis, AP

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Publisher:: Springer
Publication Type:: Journal Article
Citation:: Rock Mechanics and Rock Engineering, 2017, 50, (7), pp. 1817-1831
Issue Date:: 2017-07-01

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Field	Value	Language
dc.contributor.author	Dantas Neto, SA
dc.contributor.author	Indraratna, B https://orcid.org/0000-0002-9057-1514
dc.contributor.author	Oliveira, DAF
dc.contributor.author	de Assis, AP
dc.date.accessioned	2022-09-01T04:54:25Z
dc.date.available	2022-09-01T04:54:25Z
dc.date.issued	2017-07-01
dc.identifier.citation	Rock Mechanics and Rock Engineering, 2017, 50, (7), pp. 1817-1831
dc.identifier.issn	0723-2632
dc.identifier.issn	1434-453X
dc.identifier.uri	http://hdl.handle.net/10453/161183
dc.description.abstract	Since the mechanical behaviour of rock masses is influenced by the shear behaviour of their discontinuities, analytical models are being developed to describe the shear behaviour of rock discontinuities. The aim of this paper is to present a model to predict the shear behaviour of clean rock discontinuities developed by using artificial neural networks (ANN), as an alternative to the existing analytical models which sometimes require certain parameters obtained from large-scale laboratory tests which are not always available. Results from direct shear tests on different boundary conditions and types of discontinuities have been used to develop this ANN model, whose input parameters contain the boundary normal stiffness, the initial normal stress, the joint roughness coefficient, the compressive strength of the intact rock, the basic friction angle and the horizontal displacement of a joint. This proposed ANN model fits the experimental data better than some existing analytical models, and it can satisfactorily describe how governing parameters influence the shear behaviour of clean rock discontinuities. This paper also presents a practical application where the proposed ANN model is used to analyse the stability of a rock slope.
dc.language	English
dc.publisher	Springer
dc.relation.ispartof	Rock Mechanics and Rock Engineering
dc.relation.isbasedon	10.1007/s00603-017-1197-z
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0905 Civil Engineering, 0914 Resources Engineering and Extractive Metallurgy
dc.subject.classification	Geological & Geomatics Engineering
dc.title	Modelling the Shear Behaviour of Clean Rock Discontinuities Using Artificial Neural Networks
dc.type	Journal Article
utslib.citation.volume	50
utslib.for	0905 Civil Engineering
utslib.for	0914 Resources Engineering and Extractive Metallurgy
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-09-01T04:54:24Z
pubs.issue	7
pubs.publication-status	Published
pubs.volume	50
utslib.citation.issue	7

Abstract:

Since the mechanical behaviour of rock masses is influenced by the shear behaviour of their discontinuities, analytical models are being developed to describe the shear behaviour of rock discontinuities. The aim of this paper is to present a model to predict the shear behaviour of clean rock discontinuities developed by using artificial neural networks (ANN), as an alternative to the existing analytical models which sometimes require certain parameters obtained from large-scale laboratory tests which are not always available. Results from direct shear tests on different boundary conditions and types of discontinuities have been used to develop this ANN model, whose input parameters contain the boundary normal stiffness, the initial normal stress, the joint roughness coefficient, the compressive strength of the intact rock, the basic friction angle and the horizontal displacement of a joint. This proposed ANN model fits the experimental data better than some existing analytical models, and it can satisfactorily describe how governing parameters influence the shear behaviour of clean rock discontinuities. This paper also presents a practical application where the proposed ANN model is used to analyse the stability of a rock slope.

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http://hdl.handle.net/10453/161183