Uncertainty of Estimated Rainflow Damage in Stationary Random Loadings and in Those Stationary Iper partes/I

• Published in: Applied sciences Vol. 13; no. 5
• Main Authors: Marques, Julian M. E, Benasciutti, Denis, Papuga, Jan, Růžička, Milan
• Format: Journal Article
• Language: English
• Published: MDPI AG 01.02.2023
• Subjects: Numerical analysis; Simulation methods; Iran
• DOI: 10.3390/app13052808
• ISSN: 2076-3417

The uncertainty of rainflow fatigue damage is evaluated for stationary loadings and for non-stationary switching loadings with a finite number of stationary states. The approach is based on confidence intervals constructed after direct analysis of stress-time histories. The accuracy of confidence intervals is verified first by numerical simulations, and then by experimental data measured in a mountain bike traveling under various driving and road surface conditions, yielding stationary and non-stationary switching loadings. Stationarity and non-stationarity of loading records is checked by a statistical method (run test). In experiments, a small set of records (validation set) is also collected and used to approximate the expected damage, which serves for verification purposes. Not only do numerical and experimental results confirm the correctness of the proposed confidence interval for damage, but they also emphasize its usefulness in real engineering applications.