Uncertainty of Estimated Rainflow Damage in Stationary Random Loadings and in Those Stationary per partes

Author:

Marques Julian M. E.1ORCID,Benasciutti Denis2ORCID,Papuga Jan1ORCID,Růžička Milan1ORCID

Affiliation:

1. Department of Mechanics, Biomechanics and Mechatronics, Faculty of Mechanical Engineering, Czech Technical University, Technická 4, 166 36 Prague, Czech Republic

2. Department of Engineering, University of Ferrara, Via Saragat 1, 44122 Ferrara, Italy

Abstract

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.

Funder

CTU Global Postdoc Fellowship Program and Institutional Resources of CTU in Prague for Research

University of Ferrara

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

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