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Fatigue life prediction using a new moving window regression method

Pouliezos Anastasios, Stavrakakis Georgios

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URI: http://purl.tuc.gr/dl/dias/BE88F071-ACB2-4C6F-978C-795B6B5D109A
Year 1991
Type of Item Peer-Reviewed Journal Publication
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Bibliographic Citation G. Stavrakakis ,A. D. Pouliezos ,"Fatigue life prediction using a new moving window regression method,"Mech. Systems and Sig. Proc.,vol.5,no.4 ,pp.327-340 ,1991. doi: 10.1016/0888-3270(91)90033-2 https://doi.org/10.1016/0888-3270(91)90033-2
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Summary

A simple method to assess the safety of metallic structures in the presence of crack-likedefects is considered. Linear regression techniques are used to fit fatigue-crack growth(FCG) laws of exponential type with respect to the number of cycles, in FCG experimentalresults. A moving window regression method is used to accurately predict whether or notthe critical crack length region is reached. The probability of fast failure at any time(number of cycles) is formulated in terms of a characteristic defect size exceeding a criticalvalue. The concept of conditional probability of failure is also employed here in order toevaluate the failure rate used in reliability practice. As an illustrative example, an analyticalclosed-form solution for the failure probability of structures is presented and evaluatedusing experimental FCG data.

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