High-cycle fatigue model calibration with a deterministic optimization approach

Arturo Rubio Ruiz; Timo Saksala; Djebar Baroudi; Mikko Hokka; Reijo Kouhia

doi:10.1016/j.ijfatigue.2023.107747

High-cycle fatigue model calibration with a deterministic optimization approach

Arturo Rubio Ruiz^*, Timo Saksala, Djebar Baroudi, Mikko Hokka, Reijo Kouhia

^*Corresponding author for this work

Tampere University

Research output: Contribution to journal › Article › Scientific › peer-review

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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.

Original language	English
Article number	107747
Number of pages	10
Journal	International Journal of Fatigue
Volume	175
DOIs	https://doi.org/10.1016/j.ijfatigue.2023.107747
Publication status	Published - Oct 2023
MoE publication type	A1 Journal article-refereed

Keywords

Endurance function
High-cycle fatigue
Morozov discrepancy principle
Optimization
Stable parameter identification

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10.1016/j.ijfatigue.2023.107747Licence: CC BY

1-s2.0-S0142112323002487-mainFinal published version, 2.6 MBLicence: CC BY

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title = "High-cycle fatigue model calibration with a deterministic optimization approach",

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.",

keywords = "Endurance function, High-cycle fatigue, Morozov discrepancy principle, Optimization, Stable parameter identification",

author = "{Rubio Ruiz}, Arturo and Timo Saksala and Djebar Baroudi and Mikko Hokka and Reijo Kouhia",

note = "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: {\textcopyright} 2023 The Author(s)",

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doi = "10.1016/j.ijfatigue.2023.107747",

language = "English",

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AU - Rubio Ruiz, Arturo

AU - Saksala, Timo

AU - Baroudi, Djebar

AU - Hokka, Mikko

AU - Kouhia, Reijo

N1 - 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)

PY - 2023/10

Y1 - 2023/10

N2 - 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.

AB - 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.

KW - Endurance function

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KW - Morozov discrepancy principle

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High-cycle fatigue model calibration with a deterministic optimization approach

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Keywords

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Corrigendum to “High-cycle fatigue model calibration with a deterministic optimization approach” (International Journal of Fatigue (2023) 175, (S0142112323002487), (10.1016/j.ijfatigue.2023.107747))

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