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

Research output: Contribution to journalArticleScientificpeer-review

21 Downloads (Pure)


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 languageEnglish
Article number107747
Number of pages10
Publication statusPublished - Oct 2023
MoE publication typeA1 Journal article-refereed


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


Dive into the research topics of 'High-cycle fatigue model calibration with a deterministic optimization approach'. Together they form a unique fingerprint.

Cite this