Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/7186
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dc.contributor.authorGhannoum, Mariaen_US
dc.contributor.authorBaroth, Julienen_US
dc.contributor.authorMillard, Alainen_US
dc.contributor.authorRospars, Claudeen_US
dc.date.accessioned2024-01-22T08:48:00Z-
dc.date.available2024-01-22T08:48:00Z-
dc.date.issued2024-01-01-
dc.identifier.issn03639061-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/7186-
dc.description.abstractThe lifespan of a reinforced concrete (RC) structure can be greatly influenced by the spatial variability of its material characteristics which, in particular, explains the observed or measured reduction of the tensile strength at first crack when the volume under tension increases. This paper discusses the ability of accounting for the spatial variability of the tensile strength of concrete in RC structures using a stochastic finite element (SFE) method based on random field simulations. In this work, the generation of random fields on the concrete tensile strength aims at computing the force corresponding to the first crack occurrence, and the reduced tensile strength of the structure. The method can be applied in particular to large-sized structures, which show a pronounced size effect, for different types of loading. The method consists of, first, estimating the mean of the random field, using the analytical approach of the weakest link and localization method (WL2A). Then, the discretized random field is defined on a particular 2D or 3D grid, and it is finally projected on the finite element mesh of the studied structure. The study of the parameters that influence the prediction of the cumulative density functions (CDFs) of the rupture force or the tensile strength is highlighted using experimental series of concrete beams having different volumes and subjected to 4-point bending loading. Moreover, the SFE method is applied to a RC tie-beam under tensile loading, characterized by a weak stress gradient, which complicates the prediction of crack positions.en_US
dc.language.isoengen_US
dc.publisherWiley Online Libraryen_US
dc.subjectAutocorrelated random fielden_US
dc.subjectConcreteen_US
dc.subjectCrack patternen_US
dc.subjectStochastic finite elementen_US
dc.subjectTensile strengthen_US
dc.titleStochastic finite element modeling of heterogeneities in massive concrete and reinforced concrete structuresen_US
dc.typeJournal Articleen_US
dc.identifier.doi10.1002/nag.3684-
dc.identifier.scopus2-s2.0-85181210207-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85181210207-
dc.contributor.affiliationDepartment of Civil and Environmental Engineeringen_US
dc.date.catalogued2024-01-22-
dc.description.statusIn Pressen_US
dc.identifier.ezproxyURLhttp://ezsecureaccess.balamand.edu.lb/login?url=https://doi.org/10.1002/nag.3684en_US
dc.relation.ispartoftextInternational Journal for Numerical and Analytical Methods in Geomechanicsen_US
crisitem.author.parentorgFaculty of Engineering-
Appears in Collections:Department of Civil and Environmental Engineering
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