Structure reliability and response prognostics under uncertainty using bayesian analysis and analytical approximations

Xuefei Guan, Ratneshwar Jha, Jingjing He, Yongming Liu

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This study presents an efficient method for system reliability and response prognostics based on Bayesian analysis and analytical approximations. Uncertainties are explicitly included using probabilistic modeling. Usage and health monitoring information is used to perform the Bayesian updating. To improve the computational efficiency, an analytical computation procedure is proposed and formulated to avoid time-consuming simulations in classical methods. Two realistic problems are presented for demonstrations. One is a composite beam reliability analysis, and the other is the structural frame dynamic property estimation with sensor measurement data. The overall efficiency and accuracy of the proposed method is compared with the traditional simulation-based method.

Original languageEnglish (US)
Title of host publicationDiagnostics and Prognostics of Engineering Systems
Subtitle of host publicationMethods and Techniques
PublisherIGI Global
Pages358-375
Number of pages18
ISBN (Print)9781466620957
DOIs
StatePublished - 2012
Externally publishedYes

ASJC Scopus subject areas

  • Engineering(all)

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