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dc.contributor.authorMarcalíková, Zuzana
dc.contributor.authorČajka, Radim
dc.date.accessioned2020-07-20T09:57:15Z
dc.date.available2020-07-20T09:57:15Z
dc.date.issued2020
dc.identifier.citationCivil and Environmental Engineering. 2020, vol. 16, issue 1, p. 86-106.cs
dc.identifier.issn1336-5835
dc.identifier.issn2199-6512
dc.identifier.urihttp://hdl.handle.net/10084/139655
dc.description.abstractThe paper deals with the determination of mechanical properties of fiber reinforced concrete in dependence on various dosages and recipe of concrete. The mechanical properties were determined for the default recipe of concrete, where the individual variants differ in the amount of fibers. The fibers dosing was 0, 25, 50 and 75 kg/m(3). At the highest dosage of 75 kg/m(3), the recipe is optimized with regard to the microstructure of the concrete. In the experimental program were determined compressive strength, modulus of elasticity, split tensile strength, flexural tensile strength and load-displacement diagram. The flexural tensile strength was determined based on a three-point and four-point bending test. Based on the evaluated data, the uniaxial tensile strength and the functional dependence for the resultant recipe of concrete with a dosage of 75 kg/m(3) is with respect of the increasing importance and application of numerical modelling of building structures, the analysis is performed using non-linear calculation. The aim was to simulate the performed laboratory test and appropriately approximate the specific input parameters of the fiber reinforced concrete for nonlinear analysis.cs
dc.language.isoencs
dc.publisherDe Gruytercs
dc.relation.ispartofseriesCivil and Environmental Engineeringcs
dc.relation.urihttp://doi.org/10.2478/cee-2020-0010cs
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cs
dc.subjectfibercs
dc.subjectconcretecs
dc.subjectmechanical propertiescs
dc.subjectnumerical modellingcs
dc.subjectflexural strengthcs
dc.titleDetermination of mechanical properties of fiber reinforced concrete for numerical modellingcs
dc.typearticlecs
dc.identifier.doi10.2478/cee-2020-0010
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume16cs
dc.description.issue1cs
dc.description.lastpage106cs
dc.description.firstpage86cs
dc.identifier.wos000543400500010


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