Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/DA05903D-F857-4439-94A2-A3BBF6F0DE5A | ||
| Year | 1992 | ||
| Type of Item | Peer-Reviewed Journal Publication | ||
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| Bibliographic Citation | G.S. Stavrakakis ,“Improved structural reliability assessment using non-linear regression techniques to process raw fatigue crack growth test data” Quality and Rel. Eng. Intern., vol. 8,no.4, pp. 341-347, 1992.doi:10.1002/qre.4680080407 https://doi.org/10.1002/qre.4680080407 | ||
| Appears in Collections |
A new method is proposed to process raw fatigue crack growth (FCG) test data for estimating the parameters of any crack propagation (FCG) model. This method is based on iterative minimization techniques for non-linear regression, extensively available in the literature. The method presented here permits a significantly reduced contribution of the variability inherent in the usual raw FCG data processing techniques to the predictions of the crack length distributions derived by any analytical FCG model and, consequently, improved structural reliability assessment is achieved.
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