Fundamentals of reliability analysis

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

A brief history of the development of uncertainty quantifications, probabilistic models to consider risk-based analysis and design concepts, and their engineering applications are presented in this introductory chapter. The quantification of uncertainties in design variables and approaches used to propagate them from the variable to the system level are presented. The basic concept of risk evaluation in then presented. Because risk is always estimated corresponding to a performance function, how to generate them is discussed. The performance function can be explicit or implicit functions of design variables. Several risk evaluation procedures including simulation for both explicit and implicit performance functions are presented. Risk evaluation for correlated variables is also briefly discussed. The selection of computer programs for risk estimation is discussed. Education of the risk-based design concept can be at best categorized as nonuniform and limited only to graduate education in most cases. It cannot be overlooked any more.

Original languageEnglish (US)
Title of host publicationHandbook of Probabilistic Models
PublisherElsevier
Pages1-35
Number of pages35
ISBN (Electronic)9780128165140
ISBN (Print)9780128165461
DOIs
StatePublished - Jan 1 2019

Keywords

  • Correlated random variables
  • First-order reliability method
  • Functions of random variables
  • Implicit limit state function
  • Limit state function
  • Propagation of uncertainty
  • Reliability analysis
  • Set theory
  • Uncertainty analysis

ASJC Scopus subject areas

  • Computer Science(all)

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  • Cite this

    Haldar, A. (2019). Fundamentals of reliability analysis. In Handbook of Probabilistic Models (pp. 1-35). Elsevier. https://doi.org/10.1016/B978-0-12-816514-0.00001-1