High-cycle fatigue model calibration with a deterministic optimization approach

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorRubio Ruiz, Arturoen_US
dc.contributor.authorSaksala, Timoen_US
dc.contributor.authorBaroudi, Djebaren_US
dc.contributor.authorHokka, Mikkoen_US
dc.contributor.authorKouhia, Reijoen_US
dc.contributor.departmentDepartment of Civil Engineeringen
dc.contributor.groupauthorStructures – Structural Engineering, Mechanics and Computationen
dc.contributor.organizationTampere Universityen_US
dc.date.accessioned2023-06-30T09:52:50Z
dc.date.available2023-06-30T09:52:50Z
dc.date.issued2023-10en_US
dc.descriptionPublisher Copyright: © 2023 The Author(s)
dc.description.abstractA parameter identification approach is proposed to calibrate the Ottosen high cycle fatigue model using numerical optimization with regularization. The damage evolution was predicted by a continuum approach based on a moving endurance surface in the stress space, so the stress states outside the endurance surface may lead to damage evolution. The calibration of the model relied on uniaxial and multiaxial experimental data. The predictions of the calibrated models were in fair agreement with the experimental data for the 7075-T7451 and 7050-T6 aluminum alloys subjected to cyclic uniaxial and multiaxial loadings.en
dc.description.versionPeer revieweden
dc.format.extent10
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationRubio Ruiz, A, Saksala, T, Baroudi, D, Hokka, M & Kouhia, R 2023, 'High-cycle fatigue model calibration with a deterministic optimization approach', International Journal of Fatigue, vol. 175, 107747. https://doi.org/10.1016/j.ijfatigue.2023.107747en
dc.identifier.doi10.1016/j.ijfatigue.2023.107747en_US
dc.identifier.issn0142-1123
dc.identifier.issn1879-3452
dc.identifier.otherPURE UUID: b33112dd-295e-4ad3-8dee-5fb90579a4faen_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/b33112dd-295e-4ad3-8dee-5fb90579a4faen_US
dc.identifier.otherPURE LINK: https://doi.org/10.1016/j.ijfatigue.2023.107862
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/114566518/1_s2.0_S0142112323002487_main.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/122005
dc.identifier.urnURN:NBN:fi:aalto-202306304373
dc.language.isoenen
dc.publisherElsevier
dc.relation.fundinginfoCo-funded by the European Union (Grant Agreement No. 101058179; ENGINE). Views and opinions expressed are however those of the authors only and do not necessarily reflect those of the European Union or the European Health and Digital Executive Agency. Neither the European Union nor the granting authority can be held responsible for them. All authors have read and agreed to the final version of the manuscript, except D. Baroudi who untimely passed away before the review of the first manuscript was received.
dc.relation.ispartofseriesInternational Journal of Fatigueen
dc.relation.ispartofseriesVolume 175en
dc.rightsopenAccessen
dc.subject.keywordEndurance functionen_US
dc.subject.keywordHigh-cycle fatigueen_US
dc.subject.keywordMorozov discrepancy principleen_US
dc.subject.keywordOptimizationen_US
dc.subject.keywordStable parameter identificationen_US
dc.titleHigh-cycle fatigue model calibration with a deterministic optimization approachen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion

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