High-cycle fatigue model calibration with a deterministic optimization approach
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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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en
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10
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International Journal of Fatigue, Volume 175
Abstract
A 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.Description
Funding Information: Co-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. Funding Information: Co-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. Publisher Copyright: © 2023 The Author(s)
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Rubio 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.2023.107747