Structural and system reliability

Author(s)

Bibliographic Information

Structural and system reliability

Armen Der Kiureghian

Cambridge University Press, 2022

  • : hardback

Available at  / 4 libraries

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Note

Includes bibliographical references (p. 572-586) and index

Description and Table of Contents

Description

Based on material taught at the University of California, Berkeley, this textbook offers a modern, rigorous and comprehensive treatment of the methods of structural and system reliability analysis. It covers the first- and second-order reliability methods for components and systems, simulation methods, time- and space-variant reliability, and Bayesian parameter estimation and reliability updating. It also presents more advanced, state-of-the-art topics such as finite-element reliability methods, stochastic structural dynamics, reliability-based optimal design, and Bayesian networks. A wealth of well-designed examples connect theory with practice, with simple examples demonstrating mathematical concepts and larger examples demonstrating their applications. End-of-chapter homework problems are included throughout. Including all necessary background material from probability theory, and accompanied online by a solutions manual and PowerPoint slides for instructors, this is the ideal text for senior undergraduate and graduate students taking courses on structural and system reliability in departments of civil, environmental and mechanical engineering.

Table of Contents

  • Preface
  • 1. Introduction
  • 2. Review of probability theory
  • 3. Multivariate distributions
  • 4. Formulation of structural reliability
  • 5. Analysis of structural reliability under incomplete probability information
  • 6. The first-order reliability method
  • 7. The second-order reliability method
  • 8. System reliability
  • 9. Simulation methods
  • 10. Bayesian parameter estimation and reliability updating
  • 11. Time- and space-variant reliability analysis
  • 12. Finite-element reliability methods
  • 13. Reliability methods for stochastic structural dynamics
  • 14. Reliability-based design optimization
  • 15. Bayesian network for reliability assessment and updating
  • References
  • Index.

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