Tendon optimization for prestressed concrete structures using genetic algorithms

dc.contributor.authorHoušť, Vladimírcs
dc.contributor.authorMašek, Jancs
dc.contributor.authorEliáš, Jancs
dc.date.accessioned2025-08-05T04:56:56Z
dc.date.available2025-08-05T04:56:56Z
dc.date.issued2025-06-25cs
dc.description.abstractThe contribution presents a computer code that optimizes a prestress tendon force and geometry. The mechanical part computes time-dependent analysis of the prestress concrete structure taking into account shrinkage, creep, tendon relaxation, friction and anchor slip, i.e., all necessary components of prestress short- and long-term losses. The optimization part executes genetic algorithm with chosen parameters of the tendon geometry subjected to optimization with respect to mechanical and geometrical constraints. The minimized variable is prestressing force. A parametric study of a 3-span post-tensioned bridge deck is presented in the last section.en
dc.formattextcs
dc.format.extent1-9cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationIX Congreso de la Asociación Espaola de Ingeniería Estructural (ACHE), Granada, Spain, 25.-27. 6. 2025. 2025, p. 1-9.en
dc.identifier.orcid0000-0002-5784-471Xcs
dc.identifier.orcid0000-0001-9453-4078cs
dc.identifier.other198290cs
dc.identifier.researcheridAAD-5155-2019cs
dc.identifier.researcheridC-1179-2014cs
dc.identifier.scopus54380496200cs
dc.identifier.scopus36131177500cs
dc.identifier.urihttps://hdl.handle.net/11012/255390
dc.language.isoencs
dc.publisherACHEcs
dc.relation.ispartofIX Congreso de la Asociación Espaola de Ingeniería Estructural (ACHE), Granada, Spain, 25.-27. 6. 2025cs
dc.relation.urihttps://congresoache.com/cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectprestressed concreteen
dc.subjecttendon optimizationen
dc.subjecttime-dependent analysisen
dc.subjectGenetic algorithmen
dc.titleTendon optimization for prestressed concrete structures using genetic algorithmsen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-198290en
sync.item.dbtypeVAVen
sync.item.insts2025.08.05 06:56:56en
sync.item.modts2025.08.05 06:34:02en
thesis.grantorVysoké učení technické v Brně. Fakulta stavební. Ústav stavební mechanikycs
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