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

1 September 1998

journal article
research article
Published by Wiley in Fatigue & Fracture of Engineering Materials & Structures

Vol. 21 (9) , 1049-1065
https://doi.org/10.1046/j.1460-2695.1998.00104.x

Abstract

A wide range of studies and experimental evidence have shown that the lower bound of fatigue properties can be correctly predicted by considering the maximum occurring defect size. The estimate of this dimension can be done by analysing the defect sizes using the statistics of extremes.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 allow one to formulate a procedure for estimating the extreme defects with a precision suitable for fatigue strength prediction.

Keywords

This publication has 2 references indexed in Scilit:

Inclusion rating by statistics of extreme values and its application to fatigue strength prediction and quality control of materials
Journal of Research of the National Institute of Standards and Technology, 2012
Defect tolerant design of automotive components
International Journal of Fatigue, 1997