Displacement prediction of precast concrete under vibration using artificial neural networks

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dc.contributor.authorAktas, Gultekin
dc.contributor.authorOzerdem, Mehmet Sirac
dc.date.accessioned2024-04-24T17:15:16Z
dc.date.available2024-04-24T17:15:16Z
dc.date.issued2020
dc.departmentDicle Üniversitesien_US
dc.description.abstractThis paper intends to progress models to accurately estimate the behavior of fresh concrete under vibration using artificial neural networks (ANNs). To this end, behavior of a full scale precast concrete mold was investigated numerically. Experimental study was carried out under vibration with the use of a computer-based data acquisition system. In this study measurements were taken at three points using two vibrators. Transducers were used to measure time-dependent lateral displacements at these points on mold while both mold is empty and full of fresh concrete. Modeling of empty and full mold was made using ANNs. Benefiting ANNs used in this study for modeling fresh concrete, mold design can be performed. For the modeling of ANNs: Experimental data were divided randomly into two parts such as training set and testing set. Training set was used for ANN's learning stage. And the remaining part was used for testing the ANNs. Finally, ANN modeling was compared with measured data. The comparisons show that the experimental data and ANN results are compatible.en_US
dc.identifier.doi10.12989/sem.2020.74.4.559
dc.identifier.endpage565en_US
dc.identifier.issn1225-4568
dc.identifier.issn1598-6217
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85092065547
dc.identifier.scopusqualityQ2
dc.identifier.startpage559en_US
dc.identifier.urihttps://doi.org/10.12989/sem.2020.74.4.559
dc.identifier.urihttps://hdl.handle.net/11468/18396
dc.identifier.volume74en_US
dc.identifier.wosWOS:000537827100010
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherTechno-Pressen_US
dc.relation.ispartofStructural Engineering and Mechanics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectModelingen_US
dc.subjectArtificial Neural Networks (Anns)en_US
dc.subjectPrecast Concrete Molden_US
dc.subjectCompaction Of Fresh Concreteen_US
dc.subjectVibrationen_US
dc.titleDisplacement prediction of precast concrete under vibration using artificial neural networksen_US
dc.titleDisplacement prediction of precast concrete under vibration using artificial neural networks
dc.typeArticleen_US

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