Three-dimensional mesoscale modelling of concrete composites by using random walking algorithm

Zhang, Z; Song, X; Liu, Y; Wu, D; Song, C

Three-dimensional mesoscale modelling of concrete composites by using random walking algorithm

Zhang, Z Song, X Liu, Y Wu, D

Song, C

Permalink

Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Composites Science and Technology, 2017, 149, pp. 235-245
Issue Date:: 2017-09-08

Closed Access

	Filename	Description	Size
	1-s2.0-S0266353816304390-main.pdf		2.17 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Zhang, Z
dc.contributor.author	Song, X
dc.contributor.author	Liu, Y
dc.contributor.author	Wu, D https://orcid.org/0000-0002-7284-5024
dc.contributor.author	Song, C
dc.date.accessioned	2022-08-29T04:03:54Z
dc.date.available	2022-08-29T04:03:54Z
dc.date.issued	2017-09-08
dc.identifier.citation	Composites Science and Technology, 2017, 149, pp. 235-245
dc.identifier.issn	0266-3538
dc.identifier.issn	1879-1050
dc.identifier.uri	http://hdl.handle.net/10453/161015
dc.description.abstract	The mechanical performance of concrete is primarily dominated by the characteristics and interrelation of its ingredients, especially the content, shape and grading of coarse aggregates. Consequently, constructing a realistic mesostructure of concrete is essential for adequate mesoscale studies on the corresponding mechanical properties. In this study, a novel three-dimensional coarse aggregate generation scheme, namely the random walking algorithm (RWA), is proposed for constructing physically feasible mesostructures of concrete. The proposed approach is able to generate a series of aggregates within an initial placing domain, and subsequently, move them into the target domain by both translation and rotation. Within the proposed analysis framework, the high compactness of mesostructures with an improved aggregate content can be robustly achieved by randomly shifting previously placed aggregates, such that the later generated ones can be ingeniously blended in. Typical samples of random aggregate structure (RAS) are generated under specified grading curves. Parameters relating to aggregate content and efficiency of modelling are critically evaluated. By thoroughly investigating practically motivated examples, it is evidently illustrated that the present method is capable of obtaining a relatively realistic and random distribution of coarse aggregates, and more importantly, the grading of the generated aggregate samples is in compliance with the Fuller's Curve.
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Composites Science and Technology
dc.relation.isbasedon	10.1016/j.compscitech.2017.06.015
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	09 Engineering
dc.subject.classification	Materials
dc.title	Three-dimensional mesoscale modelling of concrete composites by using random walking algorithm
dc.type	Journal Article
utslib.citation.volume	149
utslib.for	09 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
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-08-29T04:03:53Z
pubs.publication-status	Published
pubs.volume	149

Abstract:

The mechanical performance of concrete is primarily dominated by the characteristics and interrelation of its ingredients, especially the content, shape and grading of coarse aggregates. Consequently, constructing a realistic mesostructure of concrete is essential for adequate mesoscale studies on the corresponding mechanical properties. In this study, a novel three-dimensional coarse aggregate generation scheme, namely the random walking algorithm (RWA), is proposed for constructing physically feasible mesostructures of concrete. The proposed approach is able to generate a series of aggregates within an initial placing domain, and subsequently, move them into the target domain by both translation and rotation. Within the proposed analysis framework, the high compactness of mesostructures with an improved aggregate content can be robustly achieved by randomly shifting previously placed aggregates, such that the later generated ones can be ingeniously blended in. Typical samples of random aggregate structure (RAS) are generated under specified grading curves. Parameters relating to aggregate content and efficiency of modelling are critically evaluated. By thoroughly investigating practically motivated examples, it is evidently illustrated that the present method is capable of obtaining a relatively realistic and random distribution of coarse aggregates, and more importantly, the grading of the generated aggregate samples is in compliance with the Fuller's Curve.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/161015