Probability of failure model in mechanical component because of fatigue

Autor:	A Grahito, A W Mahdiyasa
Rok vydání:	2019
Předmět:	History Component (thermodynamics) business.industry Coefficient of variation Structural engineering Fatigue limit Standard deviation Computer Science Applications Education Normal distribution Ultimate tensile strength Fraction (mathematics) business Random variable Mathematics
Zdroj:	Journal of Physics: Conference Series. 1245:012053
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1245/1/012053
Popis:	Fatigue is one of the most common modes in the failure of a mechanical component. Fatigue experiment shows that the coefficient of variation of fatigue life data is ranging from 30% to 40%. High deviation of the data means the deterministic prediction of fatigue life may not be valid anymore, hence probability-based method to calculate the probability of failure due to fatigue damaged is conducted. The probability of failure prediction methodology is based on damage fraction concept. As the usage cycles increase, the damage fraction increases until it reaches critical damage point where a component fails. Damage fraction is a function of ultimate strength and fatigue limit, in which both are modelled as random variables with normal distribution. The validation is done by variating standard deviation of each random variables. The validation result shows that increasing standard deviation of both ultimate strength and fatigue limit will increase the probability of failure.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d58e9d97e5bca437448beeb5f5b8b776 https://doi.org/10.1088/1742-6596/1245/1/012053 Zobrazit plný text záznamu