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

Related Articles

Eigenvalue analysis for high telecommunication towers with lognormal stiffness by the response function method and SFEM. (Received in the final form February 28, 2010)

The main aim of this paper is to demonstrate the application of the generalized stochastic perturbation technique to model the lognormal random variables in structural mechanics. This is done to study probabilistic chara...

Numerical simulation of single phase flow in a flotation machine

In the paper, the numerical model of the flow phenomena in the flotation machine is presented. The process of flotation consists of a number of phenomena which provide serious numerical difficulties. One can enumerate ro...

On inverse form finding for orthotropic plasticity

Inverse form finding aims to determine the optimum blank design of a workpiece whereby the desired spatial configuration that is obtained after a forming process, the boundary conditions and the applied loads are known....

Bayesian neural networks and Gaussian processes in identification of concrete properties

This paper gives a concise overview of concrete properties prediction using advanced nonlinear regression approach and Bayesian inference. Feed-forward layered neural network (FLNN) with Markov chain Monte Carlo stochast...

Regularization using truncated singular value decomposition for estimating the Fourier spectrum of a noised space distribution over an extended support

This paper is devoted to a theoretical and numerical study of different ways of calculating the Fourier transform of a noisy signal where the boundary conditions at the lateral boundaries of the measurement interval are...

Download PDF file
  • EP ID EP73979
  • DOI -
  • Views 178
  • Downloads 0

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