Open AccessProbability of failure model in mechanical component because of fatigue
Author(s) -
Adilan Mahdiyasa,
A Grahito
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1245/1/012053
Subject(s) - standard deviation , fatigue limit , structural engineering , vibration fatigue , random variable , limit (mathematics) , component (thermodynamics) , normal distribution , materials science , mathematics , statistics , fatigue testing , engineering , physics , mathematical analysis , thermodynamics
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.