Journal article
Decomposition methods for structural reliability analysis
Probabilistic engineering mechanics, Vol.20(3), pp.239-250
2005
DOI: 10.1016/j.probengmech.2005.05.005
Abstract
A new class of computational methods, referred to as decomposition methods, has been developed for predicting failure probability of structural and mechanical systems subject to random loads, material properties, and geometry. The methods involve a novel function decomposition that facilitates univariate and bivariate approximations of a general multivariate function, response surface generation of univariate and bivariate functions, and Monte Carlo simulation. Due to a small number of original function evaluations, the proposed methods are very effective, particularly when a response evaluation entails costly finite-element, mesh-free, or other numerical analysis. Seven numerical examples involving elementary mathematical functions and solid-mechanics problems illustrate the methods developed. Results indicate that the proposed methods provide accurate and computationally efficient estimates of probability of failure.
Details
- Title: Subtitle
- Decomposition methods for structural reliability analysis
- Creators
- H XU - Department of Mechanical Engineering, The University of Iowa, 2140 Seamans Center, Iowa City, IA 52242, United StatesS RAHMAN - Department of Mechanical Engineering, The University of Iowa, 2140 Seamans Center, Iowa City, IA 52242, United States
- Resource Type
- Journal article
- Publication Details
- Probabilistic engineering mechanics, Vol.20(3), pp.239-250
- Publisher
- Elsevier Science; Oxford
- DOI
- 10.1016/j.probengmech.2005.05.005
- ISSN
- 0266-8920
- eISSN
- 1878-4275
- Language
- English
- Date published
- 2005
- Academic Unit
- Mechanical Engineering
- Record Identifier
- 9984064588702771
Metrics
17 Record Views