Study on Optimal Setup of the ANN-Aided Aimed Multilevel Sampling Optimization Method

but.event.date25.01.2024cs
but.event.titleJuniorstav 2024cs
dc.contributor.authorŠplíchal, Bohumil
dc.contributor.authorLehký, David
dc.date.accessioned2024-05-07T08:53:22Z
dc.date.available2024-05-07T08:53:22Z
dc.date.issued2024-05-07cs
dc.description.abstractThis paper deals with the application of Aimed multilevel sampling metaheuristic optimization method supported by an artificial neural network. The main aim is to study the optimal parameter settings of this method for damage identification on a two-span steel truss using a limited number of simulations. The convergence rate is tested as a function of the number of simulations and the choice of the parameter that controls the resizing of the design space. The results are summarized and discussed with respect to their practical applicability in bridge damage identification using structural health monitoring data.en
dc.formattextcs
dc.format.extent1-7cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationJuniorstav 2024: Proceedings 26th International Scientific Conference Of Civil Engineering, s. 1-7. ISBN 978-80-86433-83-7.cs
dc.identifier.doi10.13164/juniorstav.2024.24033en
dc.identifier.isbn978-80-86433-83-7
dc.identifier.urihttps://hdl.handle.net/11012/245429
dc.language.isoencs
dc.publisherVysoké učení technické v Brně,Fakulta stavebnícs
dc.relation.ispartofJuniorstav 2024: Proceedings 26th International Scientific Conference Of Civil Engineeringcs
dc.relation.urihttps://juniorstav.fce.vutbr.cz/proceedings2024/
dc.rights© Vysoké učení technické v Brně,Fakulta stavebnícs
dc.rights.accessopenAccessen
dc.subjectAimed multilevel samplingen
dc.subjectartificial neural networken
dc.subjectdamage identificationen
dc.subjectmodel updatingen
dc.titleStudy on Optimal Setup of the ANN-Aided Aimed Multilevel Sampling Optimization Methoden
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta stavebnícs
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