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Development of methods of structural reliability

  • Bruce Ellingwood
  • , Marc Maes
  • , F. Michael Bartlett
  • , Andre T. Beck
  • , Colin Caprani
  • , Armen Der Kiureghian
  • , Leonardo Dueñas-Osorio
  • , Neryvaldo Galvão
  • , Robert Gilbert
  • , Jie Li
  • , Jose Matos
  • , Yasuhiro Mori
  • , Iason Papaioannou
  • , Roger Parades
  • , Daniel Straub
  • , Bruno Sudret
  • Colorado State University
  • University of Calgary
  • Western University
  • University of São Paulo
  • Monash University
  • University of California at Berkeley
  • Rice University
  • Infrastructure Management Consultants
  • University of Texas at Austin
  • Tongji University
  • PT Government Associated Laboratory, University of Minho
  • Nagoya University
  • Technical University of Munich
  • ETH Zürich

Research output: Contribution to journal › Article › peer-review

72 Scopus citations

Abstract

The growth of structural reliability theory and applications, along with a recognition of its role in guiding the structural engineering profession in addressing some of the most important issues in design of the built environment, represents one of the key engineering achievements during the past five decades. Structural reliability provides a unifying framework for managing uncertainties affecting performance of structures and a quantitative link between the practice of structural engineering and its social consequences. Such links perhaps are most obvious in probability-based codified design and performance evaluation but there are numerous other applications, which are summarized in this special issue. As the field has matured, researchers in reliability have worked with structural engineers to elevate both the practice of structural engineering and the quality of research to levels that otherwise would not have been possible. The Joint Committee on Structural Safety has played a central role in this historic development and it will inspire future opportunities for the reliability community to build upon past successes to improve structural engineering and construction practices. This paper surveys the key theoretical developments and milestones that enable these opportunities.

Original languageEnglish
Article number102474
JournalStructural Safety
Volume113
DOIs
StatePublished - Mar 2025

Keywords

  • First/second order methods
  • Monte Carlo simulation
  • Reliability
  • Stochastic dynamics
  • Structural design and assessment
  • Uncertainty modeling

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