Fast blade shape optimization based on a neural-network-predicted flow field

dc.contributor.authorBublík, O.
dc.contributor.authorPecka, A.
dc.contributor.authorHeidler, V.
dc.contributor.editorAdámek, Vítězslav
dc.contributor.editorJonášová,Alena
dc.contributor.editorPlánička, Stanislav
dc.contributor.editorZajíček, Martin
dc.date.accessioned2021-11-18T08:54:22Z
dc.date.available2021-11-18T08:54:22Z
dc.date.issued2021
dc.description.sponsorshipproject ”Fast flow-field prediction using deep neural networks for solving fluid-structure interaction problems” GA21-31457S of the Grant Agency of the Czech Republic, the internal student grant project SGS-2019-009en
dc.format2 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationComputational mechanics 2021: book of extended abstracts: 36th conference with international participation, p. 19-20.en
dc.identifier.isbn978-80-261-1059-0
dc.identifier.urihttp://hdl.handle.net/11025/45916
dc.language.isoenen
dc.publisherZápadočeská univerzita v Plznics
dc.relation.ispartofseriesComputational Mechanicsen
dc.rights©2021 University of West Bohemia, Plzeň, Czech Republicen
dc.rights.accessopenAccessen
dc.subjectnervová síťcs
dc.subjectoptimalizacecs
dc.subjectgeometrický tvar čepelecs
dc.subjectstrojecs
dc.subject.translatedneural networken
dc.subject.translatedoptimizationen
dc.subject.translatedgeometrical shape of the bladeen
dc.subject.translatedturbo machineryen
dc.titleFast blade shape optimization based on a neural-network-predicted flow fielden
dc.typeconferenceObjecten
dc.typekonferenční příspěvekcs
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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