Estimating vibration-fatigue-life on experimentally acquired data
Mršnik, Matjaž ; Slavič, Janko, 1978- ; Boltežar, Miha
It is a common practice in the automotive industry to expose products to accelerated vibration tests, that simulate the load, predicted to occur during the products service time. A common tool that ...can be used for predicting the time-to-failure in the aforementioned tests is the time-domain method, using the rainflow counting algorithm and the Palmgren-Miner summation method. However, using the time-domain method on a large amount of material points can get computationally very complex. This has led to the development of more efficient methods, that estimate the time-to-failure in frequency-domain but are less accurate, compared to the time-domain approach. In this research, a group of such methods is presented and compared using real signals, namely: Tovo-Benasciutti (2002), Wirsching-Light (1980), Petrucci-Zuccarello (2004), empirical [alfa]0.75 (2004), Dirlik (1985) and Gao-Moan method (2008). Reviewed frequency-domain methods are based on the assumption that the analysed response is normal-distributed. They consist of empirical models, that may also make use of some analytical facts to achieve a better agreement with the time-domain approach. Separately, only some of the methods were already compared side by side. Usually the comparison was made on simulated random signals, while this research compares them based on a real signal, collected by measuring different groups of spectra (e.g. typical vibration test profiles, different background noise levels, spectral width, number of modes etc.). In existing studies, Dirlik is usually identified as most accurate but in this research, conclusions show, that the Tovo-Benasciutti and Zhao-Baker methods can be more accurate than the Dirlik method and should therefore also be considered for vibration fatigue analysis.
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