High-cycle fatigue model calibration with a deterministic optimization approach
Rubio Ruiz, Arturo; Saksala, Timo; Hokka, Mikko; Kouhia, Reijo (2023)
Rubio Ruiz, Arturo
Saksala, Timo
Hokka, Mikko
Kouhia, Reijo
2023
International Journal of Fatigue
107747
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202306206855
https://urn.fi/URN:NBN:fi:tuni-202306206855
Kuvaus
Peer reviewed
Tiivistelmä
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.
Kokoelmat
- TUNICRIS-julkaisut [19351]