In the automotive industry, safety parts must be designed according to the state of the art of science and technology such that they do not fail as long as the vehicle is used according to its purpose and misuse of the vehicle does not exceed a reasonably expectable degree. Due to scatter in customer loads and component properties, fatigue validation needs to be based on statistical methods. Mathematically sound methods are devised in order to make the validation process as efficient as possible. They allow considering all test results, including censored test data (e.g. tests suspended due to premature failure of components which are not under consideration). Furthermore, these methods permit adapting the success run criterion successively to the testing process. This method is however inefficient in dealing with day-to-day testing events like outliers or suspended tests due to failure of third components. For that reason, state of the art statistical methods are devised in this paper allowing to correct test designs, if failures of third parts occurred; exactly define supplementary tests, if assumed outliers inhibited homologa-tion in the initial test design; utilize all information from censored items (maximum likelihood), and take into account the exact lifetime of failures to compensate for slightly premature failures (partially passed component counting).
A verified and efficient approach towards fatigue validation of safety parts
Abgesicherter und effizienter Nachweis sicherheitsrelevanter Bauteile
MP Materials Testing ; 53 , 7/8 ; 450-454
2011
5 Seiten, 4 Bilder, 5 Quellen
Article (Journal)
English
A verified and efficient approach towards fatigue validation of safety parts
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