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

^*Tämän työn vastaava kirjoittaja

Tampere University

Tutkimustuotos: Lehtiartikkeli › Article › Scientific › vertaisarvioitu

2 Sitaatiot (Scopus)

64 Lataukset (Pure)

Abstrakti

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.

Alkuperäiskieli	Englanti
Artikkeli	107747
Sivumäärä	10
Julkaisu	INTERNATIONAL JOURNAL OF FATIGUE
Vuosikerta	175
DOI - pysyväislinkit	https://doi.org/10.1016/j.ijfatigue.2023.107747
Tila	Julkaistu - lokak. 2023
OKM-julkaisutyyppi	A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

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10.1016/j.ijfatigue.2023.107747Lisenssi: CC BY

1-s2.0-S0142112323002487-mainFinal published version, 2,6 MBLisenssi: CC BY

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1 Comment/debate

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))
Rubio Ruiz, A., Saksala, T., Baroudi, D., Hokka, M. & Kouhia, R., marrask. 2023, julkaisussa: INTERNATIONAL JOURNAL OF FATIGUE. 176, 107862.
Tutkimustuotos: Lehtiartikkeli › Comment/debate › Scientific › vertaisarvioitu

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25 Lataukset (Pure)

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@article{b33112dd295e4ad38dee5fb90579a4fa,

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)",

year = "2023",

month = oct,

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

language = "English",

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journal = "INTERNATIONAL JOURNAL OF FATIGUE",

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T1 - High-cycle fatigue model calibration with a deterministic optimization approach

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

KW - High-cycle fatigue

KW - Morozov discrepancy principle

KW - Optimization

KW - Stable parameter identification

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SN - 0142-1123

VL - 175

JO - INTERNATIONAL JOURNAL OF FATIGUE

JF - INTERNATIONAL JOURNAL OF FATIGUE

M1 - 107747

ER -

High-cycle fatigue model calibration with a deterministic optimization approach

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Tutkimustuotos

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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