Texture synthesis: A novel method for generating digital models with heterogeneous diversity of rock materials and its CGM verification

Xiao, H; He, L; Li, X; Zhang, Q; Li, W

Texture synthesis: A novel method for generating digital models with heterogeneous diversity of rock materials and its CGM verification

Xiao, H He, L Li, X Zhang, Q Li, W

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Computers and Geotechnics, 2021, 130, pp. 1-14
Issue Date:: 2021-02-01

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Field	Value	Language
dc.contributor.author	Xiao, H
dc.contributor.author	He, L
dc.contributor.author	Li, X
dc.contributor.author	Zhang, Q
dc.contributor.author	Li, W https://orcid.org/0000-0002-4651-1215
dc.date.accessioned	2022-05-31T03:31:57Z
dc.date.available	2022-05-31T03:31:57Z
dc.date.issued	2021-02-01
dc.identifier.citation	Computers and Geotechnics, 2021, 130, pp. 1-14
dc.identifier.issn	0266-352X
dc.identifier.issn	1873-7633
dc.identifier.uri	http://hdl.handle.net/10453/157839
dc.description.abstract	The interaction of meso-structures determines the macro-mechanical properties of rock material. Therefore, reliable description of heterogeneous diversity in rock is of great significance for studying its mechanical response and fracturing process. Based on the Markov random field theory, the texture synthesis method is optimized in terms of input exemplar and its best matching neighborhood size by using the mean shift clustering algorithm and the color histogram statistics. The optimized method can generate many parallel images of rock materials which have the function of feature replication and the characteristics of diverse heterogeneity. The reliability of the heterogeneous diversity models generated by the texture synthesis method is verified from three fundamental levels, including the CIELab color space, the geometric parameters of particles, and the numerical mechanical properties (CGM). The stress–strain curves and damage evolution processes of synthetic digital models under uniaxial compression have a strong characterization ability. Therefore, this new digital modeling method that represents the structural details and heterogeneous diversity of rock material can be utilized for evaluating the composition similarity and heterogeneous geometric features, and provide abundant materials for subsequent numerical mechanical analysis. This method provides a new idea for studying the meso-mechanical properties and failure mechanism of rock materials.
dc.language	English
dc.publisher	Elsevier
dc.relation.ispartof	Computers and Geotechnics
dc.relation.isbasedon	10.1016/j.compgeo.2020.103895
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0905 Civil Engineering, 0914 Resources Engineering and Extractive Metallurgy, 0915 Interdisciplinary Engineering
dc.subject.classification	Geological & Geomatics Engineering
dc.title	Texture synthesis: A novel method for generating digital models with heterogeneous diversity of rock materials and its CGM verification
dc.type	Journal Article
utslib.citation.volume	130
utslib.for	0905 Civil Engineering
utslib.for	0914 Resources Engineering and Extractive Metallurgy
utslib.for	0915 Interdisciplinary Engineering
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
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-05-31T03:31:50Z
pubs.publication-status	Published
pubs.volume	130

Abstract:

The interaction of meso-structures determines the macro-mechanical properties of rock material. Therefore, reliable description of heterogeneous diversity in rock is of great significance for studying its mechanical response and fracturing process. Based on the Markov random field theory, the texture synthesis method is optimized in terms of input exemplar and its best matching neighborhood size by using the mean shift clustering algorithm and the color histogram statistics. The optimized method can generate many parallel images of rock materials which have the function of feature replication and the characteristics of diverse heterogeneity. The reliability of the heterogeneous diversity models generated by the texture synthesis method is verified from three fundamental levels, including the CIELab color space, the geometric parameters of particles, and the numerical mechanical properties (CGM). The stress–strain curves and damage evolution processes of synthetic digital models under uniaxial compression have a strong characterization ability. Therefore, this new digital modeling method that represents the structural details and heterogeneous diversity of rock material can be utilized for evaluating the composition similarity and heterogeneous geometric features, and provide abundant materials for subsequent numerical mechanical analysis. This method provides a new idea for studying the meso-mechanical properties and failure mechanism of rock materials.

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http://hdl.handle.net/10453/157839