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

Autor:	Milan Ruzicka, Julian Marcell Enzveiler Marques, Denis Benasciutti, Jan Papuga
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	Fluid Flow and Transfer Processes confidence interval statistical run test Process Chemistry and Technology General Engineering mountain bike General Materials Science uncertainty non-stationary loading Instrumentation stationary loading rainflow damage Computer Science Applications
Zdroj:	Applied Sciences Volume 13 Issue 5 Pages: 2808
ISSN:	2076-3417
DOI:	10.3390/app13052808
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ab73125c8e8838f5880296651bf218f Zobrazit plný text záznamu