Mesoscale analysis on ultra-high performance steel fibre reinforced concrete slabs under contact explosions

Peng, Y; Wu, C; Li, J; Liu, J; Liang, X

Mesoscale analysis on ultra-high performance steel fibre reinforced concrete slabs under contact explosions

Peng, Y Wu, C

Li, J

Liu, J Liang, X

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Publication Type:: Journal Article
Citation:: Composite Structures, 2019, 228
Issue Date:: 2019-11-15

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Field	Value	Language
dc.contributor.author	Peng, Y	en_US
dc.contributor.author	Wu, C https://orcid.org/0000-0001-6786-7934	en_US
dc.contributor.author	Li, J https://orcid.org/0000-0003-2457-1994	en_US
dc.contributor.author	Liu, J	en_US
dc.contributor.author	Liang, X https://orcid.org/0000-0002-6400-003X	en_US
dc.date.issued	2019-11-15	en_US
dc.identifier.citation	Composite Structures, 2019, 228	en_US
dc.identifier.issn	0263-8223	en_US
dc.identifier.uri	http://hdl.handle.net/10453/137794
dc.description.abstract	© 2019 Elsevier Ltd This paper develops a more efficient and applicable three-dimensional mesoscale model to simulate ultra-high performance steel fibre reinforced concrete (UHP-SFRC) slabs under contact explosions. In the proposed mesoscale model, UHP-SFRC consists of two components involving concrete matrix and steel fibres. The straight steel fibres are randomly distributed and orientated in the concrete matrix using the self-coding program. The proposed mesoscale model is firstly validated with a series of static and dynamic tests, and then it is adopted in the numerical simulation of contact explosions. With the verified mesoscale model, parametric studies are conducted to investigate the effects of slab thickness and TNT charge weight on the crater damage of UHP-SFRC slabs under contact explosions. Based on the results of parametric studies, a damage identification multi-classifier is constructed to recognize and predict the damage of UHP-SFRC slabs under contact explosions by using the support vector machine (SVM).	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP160104661
dc.relation.ispartof	Composite Structures	en_US
dc.relation.isbasedon	10.1016/j.compstruct.2019.111322	en_US
dc.subject.classification	Materials	en_US
dc.title	Mesoscale analysis on ultra-high performance steel fibre reinforced concrete slabs under contact explosions	en_US
dc.type	Journal Article
utslib.citation.volume	228	en_US
utslib.for	0905 Civil Engineering	en_US
utslib.for	0912 Materials Engineering	en_US
utslib.for	09 Engineering	en_US
pubs.embargo.period	Not known	en_US
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
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	228	en_US

Abstract:

© 2019 Elsevier Ltd This paper develops a more efficient and applicable three-dimensional mesoscale model to simulate ultra-high performance steel fibre reinforced concrete (UHP-SFRC) slabs under contact explosions. In the proposed mesoscale model, UHP-SFRC consists of two components involving concrete matrix and steel fibres. The straight steel fibres are randomly distributed and orientated in the concrete matrix using the self-coding program. The proposed mesoscale model is firstly validated with a series of static and dynamic tests, and then it is adopted in the numerical simulation of contact explosions. With the verified mesoscale model, parametric studies are conducted to investigate the effects of slab thickness and TNT charge weight on the crater damage of UHP-SFRC slabs under contact explosions. Based on the results of parametric studies, a damage identification multi-classifier is constructed to recognize and predict the damage of UHP-SFRC slabs under contact explosions by using the support vector machine (SVM).

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http://hdl.handle.net/10453/137794