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Reducing computational time for FEM postprocessing through the use of feedforward neural networks

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Reducing computational time for FEM postprocessing through the use of feedforward neural networks

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dc.contributor.author Zlatić, Martin es_ES
dc.contributor.author Čanađija, Marko es_ES
dc.date.accessioned 2022-09-29T06:48:44Z
dc.date.available 2022-09-29T06:48:44Z
dc.date.issued 2022-05-11
dc.identifier.isbn 9788490489697
dc.identifier.uri http://hdl.handle.net/10251/186686
dc.description.abstract [EN] With the recent surge in neural network usage, machine learning libraries have become more convenient to use and implement. In this paper we investigate the possibility of using neural networks in order to faster process displacements obtained from finite element calculation and replace existing post-processing procedures. The method is implemented on 2D finite elements for their relative ease of usage and manipulation. A speed up is observed in comparison to traditional methods of post-processing. Possible further applications of this method are also presented in this paper. es_ES
dc.description.sponsorship This work has been fully supported by Croatian Science Foundation under the project IP2019-04-4703. es_ES
dc.format.extent 6 es_ES
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.relation.ispartof Proceedings of the YIC 2021 - VI ECCOMAS Young Investigators Conference
dc.rights Reconocimiento - No comercial - Compartir igual (by-nc-sa) es_ES
dc.subject Machine learning es_ES
dc.subject Postprocessing es_ES
dc.subject Finite element method es_ES
dc.title Reducing computational time for FEM postprocessing through the use of feedforward neural networks es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.4995/YIC2021.2021.12473
dc.relation.projectID info:eu-repo/grantAgreement/HRZZ//IP2019-04-4703 es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Zlatić, M.; Čanađija, M. (2022). Reducing computational time for FEM postprocessing through the use of feedforward neural networks. En Proceedings of the YIC 2021 - VI ECCOMAS Young Investigators Conference. Editorial Universitat Politècnica de València. 397-402. https://doi.org/10.4995/YIC2021.2021.12473 es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename VI ECCOMAS Young Investigators Conference es_ES
dc.relation.conferencedate Julio 07-09, 2021 es_ES
dc.relation.conferenceplace Valencia, España es_ES
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/YIC/YIC2021/paper/view/12473 es_ES
dc.description.upvformatpinicio 397 es_ES
dc.description.upvformatpfin 402 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela OCS\12473 es_ES
dc.contributor.funder Croatian Science Foundation es_ES


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