On Buffered Failure Probability in Design and Optimization of Structures

Abstract

In reliability engineering focused on the design and optimization of structures, the typical measure of reliability is the probability of failure of the structure or its individual components relative to specific limit states. However, the failure probability has troublesome properties that raise several theoretical, practical, and computational issues. This paper explains the seriousness of these issues in the context of design optimization and goes on to propose a new alternative measure, the buffered failure probability, which offers significant advantages. The buffered failure probability is handled with relative ease in design optimization problems, accounts for the degree of violation of a performance threshold, and is more conservative than the failure probability. Keywords: Failure probability; Structural Reliability; Reliability-based design optimization.

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Document Details

Document Type
Technical Report
Publication Date
Dec 18, 2009
Accession Number
ADA513131

Entities

People

  • J. O. Royset
  • R. T. Rockafeller

Organizations

  • University of Washington

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Distribution Functions
  • Engineering
  • Linear Programming
  • Monte Carlo Method
  • Operations Research
  • Optimization
  • Probability
  • Probability Density Functions
  • Probability Distributions
  • Random Variables
  • Reliability
  • Sampling
  • Simulations
  • Statistical Algorithms
  • Structural Engineering
  • Systems Engineering

Fields of Study

  • Engineering

Readers

  • Mathematical Modeling and Probability Theory.
  • Structural Health Monitoring of Composite Structures.
  • Systems Analysis and Design