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Detailed study on the behavior of improved beam t-junctions modeling for the characterization of tubular structures, based on artificial neural networks trained with finite element models
dc.contributor.author | Badea, F. | |
dc.contributor.author | Pérez Fernández, Jesús Ángel | |
dc.contributor.author | Olazagoitia, J. L. | |
dc.date.accessioned | 2021-07-26T07:50:16Z | |
dc.date.available | 2021-07-26T07:50:16Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Mathematics, 9(9) (2021); doi:10.3390/math9090943 | |
dc.identifier.issn | 2227-7390 | |
dc.identifier.uri | http://hdl.handle.net/10651/59966 | |
dc.description.sponsorship | This research was partially funded by the Agencia Estatal de Investigación [grant RETOS 2018-RTI2018-095923-B-C22] and by the Cátedra Global Nebrija-Santander en Recuperación de Energía en el Transporte de Superficie. | |
dc.language.iso | eng | |
dc.relation.ispartof | Mathematics | |
dc.rights | © 2021 los autores | |
dc.rights | CC Reconocimiento 4.0 Internacional | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.source | Scopus | |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105335948&doi=10.3390%2fmath9090943&partnerID=40&md5=b79bf3ea8771134e4c61289089e2746e | |
dc.title | Detailed study on the behavior of improved beam t-junctions modeling for the characterization of tubular structures, based on artificial neural networks trained with finite element models | |
dc.type | journal article | |
dc.identifier.doi | 10.3390/math9090943 | |
dc.relation.projectID | AEI/RETOS 2018-RTI2018-095923-B-C22 | |
dc.relation.publisherversion | http://dx.doi.org/10.3390/math9090943 | |
dc.rights.accessRights | open access | |
dc.type.hasVersion | VoR |
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