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dc.contributor.authorMohammad Javad, Moradi
dc.contributor.authorRoshani, Mohammad Mahdi
dc.contributor.authorShabani, Amirhosein
dc.contributor.authorKioumarsi, Mahdi
dc.date.accessioned2020-07-14T16:15:08Z
dc.date.accessioned2020-08-07T09:07:34Z
dc.date.available2020-07-14T16:15:08Z
dc.date.available2020-08-07T09:07:34Z
dc.date.issued2020-02-10
dc.identifier.citationMohammad Javad, Roshani, Shabani A, Kioumarsi M. Prediction of the Load-Bearing Behavior of SPSW with Rectangular Opening by RBF Network. Applied Sciences. 2020en
dc.identifier.issn2076-3417
dc.identifier.urihttps://hdl.handle.net/10642/8820
dc.description.abstractAs a lateral load-bearing system, the steel plate shear wall (SPSW) is utilized in different structural systems that are susceptible to seismic risk and because of functional reasons SPSWs may need openings. In this research, the effects of rectangular openings on the lateral load-bearing behavior of the steel shear walls by the finite element method (FEM) is investigated. The results of the FEM are used for the prediction of SPSW behavior using the artificial neural network (ANN). The radial basis function (RBF) network is used to model the effects of the rectangular opening in the SPSW with different plate thicknesses. The results showed that the opening leads to reduced load-bearing capacity, stiffness and absorbed energy, which can be precisely predicted by employing RBF network model. Besides, the suitable relative area of the opening is determined.en
dc.language.isoenen
dc.publisherMDPIen
dc.relation.ispartofseriesApplied Sciences;Volume 10 / Issue 3: Special Issue - Soft Computing Techniques in Structural Engineering and Materials
dc.rights© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectArtificial neural networksen
dc.subjectSteel shear wallsen
dc.subjectFinite element methodsen
dc.subjectOpeningsen
dc.subjectRadial basis functionsen
dc.titlePrediction of the Load-Bearing Behavior of SPSW with Rectangular Opening by RBF Networken
dc.typeJournal articleen
dc.typePeer revieweden
dc.date.updated2020-07-14T16:15:08Z
dc.description.versionpublishedVersionen
dc.identifier.doihttps://dx.doi.org/10.3390/app10031185
dc.identifier.cristinID1819430
dc.source.issn2076-3417
dc.relation.journalApplied Sciences


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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).