STATISTICAL-ANALYSIS OF DEFECTS FOR FATIGUE-STRENGTH PREDICTION AND QUALITY-CONTROL OF MATERIALS

Citation
S. Beretta et Y. Murakami, STATISTICAL-ANALYSIS OF DEFECTS FOR FATIGUE-STRENGTH PREDICTION AND QUALITY-CONTROL OF MATERIALS, Fatigue & fracture of engineering materials & structures, 21(9), 1998, pp. 1049-1065
Citations number
35
Categorie Soggetti
Material Science","Engineering, Mechanical
ISSN journal
8756758X
Volume
21
Issue
9
Year of publication
1998
Pages
1049 - 1065
Database
ISI
SICI code
8756-758X(1998)21:9<1049:SODFFP>2.0.ZU;2-C
Abstract
A wide range of studies and experimental evidence have shown that the lower bound of fatigue properties can be correctly predicted by consid ering the maximum occurring defect size. The estimate of this dimensio n can be done by analysing the defect sizes using the statistics of ex tremes. The scope of this paper is to discuss and investigate the two key points in a successful application of this technique: the first is the choice of statistical method for the analysis of data; the second is the knowledge of the minimum number of defects needed to obtain a good estimate of extreme defects. The results obtained in this study a llow one to formulate a procedure: for estimating the extreme defects with a precision suitable for fatigue strength prediction.