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dc.contributor.authorRypl, Rostislav
dc.contributor.authorVořechovský, Miroslav
dc.date.accessioned2017-06-14T08:30:03Z
dc.date.available2017-06-14T08:30:03Z
dc.date.issued2017
dc.identifier.citationApplied and Computational Mechanics. 2017, vol. 11, no. 1, p. 1-10.en
dc.identifier.issn1802-680X (Print)
dc.identifier.issn2336-1182 (Online)
dc.identifier.urihttp://hdl.handle.net/11025/26122
dc.description.abstractThe present paper introduces a probabilistic approach to simulating the crack bridging effects of chopped glass strands in cement-based matrices and compares it to a discrete rigid body spring network model with semi-discrete representation of the chopped strands. The glass strands exhibit random features at various scales, which are taken into account by both models. Fiber strength and interface stress are considered as random variables at the scale of a single fiber bundle while the orientation and position of individual bundles with respect to a crack plane are considered as random variables at the crack bridge scale. At the scale of the whole composite domain, the distribution of fibers and the resulting number of crack-bridging fibers is considered. All the above random effects contribute to the variability of the crack bridge performance and result in size-dependent behavior of a multiply cracked composite.en
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherUniversity of West Bohemiaen
dc.relation.ispartofseriesApplied and Computational Mechanicsen
dc.rights© 2017 University of West Bohemia. All rights reserved.en
dc.subjectbeton vyztužený skelnými vláknycs
dc.subjectpřeklenutí trhlincs
dc.subjectpevnost v tahucs
dc.titleMultiscale probabilistic modeling of a crack bridge in glass fiber reinforced concreteen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translatedglass fiber reinforced concreteen
dc.subject.translatedcrack bridgingen
dc.subject.translatedtensile strengthen
dc.identifier.doi10.24132/acm.2017.334
dc.type.statusPeer-revieweden
Appears in Collections:Volume 11, number 1 (2017)
Volume 11, number 1 (2017)

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