Proceedings on Uncertainty Modeling and Analysis, 1990, First International Symposium on , Vol., No., pp.437-440, December 3-5, 1990

Fuzzy regression analysis for fatigue crack growth

Xin Wu, Jun Ming Hu, and Michael Pecht
Center for Advanced Life Cycle Engineering (CALCE), University of Maryland, College Park, MD 20742, USA



This paper presents a method based on fuzzy regression to analyze fatigue crack growth data, where the variations of the parameters are not only due to measurement errors but also system errors. A membership function is used to describe the system errors. Crack growth data under constant and random amplitude stress are analyzed and the results are compared with conventional least-squares regression methods.

Complete Article available to CALCE consortium members.

© IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

[Home Page] [Articles Page]
Copyright © 2014 by CALCE and the University of Maryland, All Rights Reserved