Simultaneous uncertainty quantification of fracture mechanics based life prediction model parameters

被引：36

作者：

Cross, Richard ^{[1
]}

Makeev, Andrew ^{[1
]}

Armanios, Erian ^{[1
]}

机构：

[1] Georgia Inst Technol, Sch Aerosp Engn, Atlanta, GA 30332 USA

来源：

INTERNATIONAL JOURNAL OF FATIGUE | 2007年 / 29卷 / 08期

关键词：

fatigue; probabilistic modeling; initial flaw size; Bayesian inference;

D O I：

10.1016/j.ijfatigue.2006.10.027

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

A Bayesian technique is developed for simultaneous estimation of the equivalent initial flaw size (EIFS) and crack growth rate distributions in fracture mechanics based life prediction models from inspection data. The inference method separately quantifies the different sources of variability to obtain a data set independent EIFS distribution without the requirement for prior knowledge of the uncertainties in other parameters. The ability to simultaneously and accurately predict the EIFS distribution and crack growth rate noise from a small, highly-scattered data set is demonstrated in a numerical example. (c) 2006 Elsevier Ltd. All rights reserved.

引用

页码：1510 / 1515

页数：6