Hybrid Monte Carlo method in the reliability analysis of structures

Journal Title: Computer Assisted Methods in Engineering and Science - Year 2011, Vol 18, Issue 3

Abstract

The paper develops the idea of [8], i.e., the application of Artificial Neural Networks (ANNs) in probabilistic reliability analysis of structures achieved by means of Monte Carlo (MC) simulation. In this method, a feed-forward neural network is used for generating samples in the MC simulation. The patterns for network training and testing are computed by a Finite Element Method (FEM) program. A high numerical efficiency of this Hybrid Monte Carlo Method (HMC) is illustrated by two examples of the reliability analysis that refer to a steel girder [4] and a cylindrical steel shell [2].

Authors and Affiliations

Joanna Kaliszuk

Keywords

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  • EP ID EP73979
  • DOI -
  • Views 174
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How To Cite

Joanna Kaliszuk (2011). Hybrid Monte Carlo method in the reliability analysis of structures. Computer Assisted Methods in Engineering and Science, 18(3), 205-216. https://europub.co.uk/articles/-A-73979