Determination of concrete fracture parameters using inverse analysis: Influence of the tensile softening model

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dc.contributor.authorSadílková Šomodíková, Martinacs
dc.contributor.authorLipowczan, Martincs
dc.contributor.authorLehký, Davidcs
dc.coverage.issue1cs
dc.coverage.volume43cs
dc.date.issued2023-01-13cs
dc.description.abstractThe paper is focused on the identification of selected mechanical fracture parameters of concrete. An inverse analysis based on an artificial neural network is used for this purpose. In this approach the laboratory measurements are matched with the results gained by reproducing the same test numerically. The identification of mechanical fracture parameters is carried out from the records of three-point bending and wedge-splitting tests performed using three specimen sizes. The ATENA software is employed for the numerical simulation of the fracture tests. The material model with the exponential and bilinear tensile softening law is selected to govern the gradual evolution of localized damage. The obtained parameters are finally analyzed and discussed in terms of their dependence on the size of the initial uncracked ligament. The results show that both tensile softening models are able to capture the behavior of the specimens in the softening phase reasonably well. The tensile softening model does not affect the modulus of elasticity values but has a slight effect on the tensile strength and fracture energy. For the latter two parameters, both models detected the influence of specimen size on their values.en
dc.formattextcs
dc.format.extent258-263cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationProcedia Structural Integrity. 2023, vol. 43, issue 1, p. 258-263.en
dc.identifier.doi10.1016/j.prostr.2022.12.268cs
dc.identifier.issn2452-3216cs
dc.identifier.orcid0000-0001-7117-4946cs
dc.identifier.orcid0000-0003-1541-687Xcs
dc.identifier.orcid0000-0001-8176-4114cs
dc.identifier.other181355cs
dc.identifier.researcheridAAD-6219-2019cs
dc.identifier.researcheridAAK-9492-2020cs
dc.identifier.scopus56829580400cs
dc.identifier.scopus57192208864cs
dc.identifier.scopus56389654700cs
dc.identifier.urihttp://hdl.handle.net/11012/213711
dc.language.isoencs
dc.publisherElseviercs
dc.relation.ispartofProcedia Structural Integritycs
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S2452321622008319cs
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2452-3216/cs
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/cs
dc.subjectInverse analysisen
dc.subjectmechanical fracture parametersen
dc.subjectnumerical simulationen
dc.subjectsize effecten
dc.subjectexponential and tensile softening modelen
dc.titleDetermination of concrete fracture parameters using inverse analysis: Influence of the tensile softening modelen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-181355en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:45:33en
sync.item.modts2025.01.17 15:12:50en
thesis.grantorVysoké učení technické v Brně. Fakulta stavební. Ústav stavební mechanikycs
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