Validation of a predictor of fatigue failure in the high-cycle range. (1st December 2020)

• Record Type: Journal Article
• Authors: Szabó, Barna; Actis, Ricardo; Rusk, David
• Is Part Of: Computers & mathematics with applications. Volume 80:issue 11(2020)
• Page Start: 2451
• Page End: 2461
• Publication Date: 2020-12-01
• Subjects: High cycle fatigue -- Verification -- Validation -- Uncertainty quantification -- Random fatigue limit model; Electronic data processing -- Periodicals; Mathematics -- Data processing -- Periodicals; 510.28541
• DOI: 10.1016/j.camwa.2020.07.026
• Languages: English
• ISSNs: 0898-1221

Abstract

Abstract: A predictor of failure initiation in high-cycle fatigue was calibrated on the basis of uniaxial experimental data and its predictive performance tested against biaxial data. The procedures of solution verification, calibration, ranking, validation and uncertainty quantification were employed. A condition that defines the domain of the predictor is inferred from the results of validation experiments.