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Ukrainian Mathematical Journal

, Volume 56, Issue 7, pp 1196–1202 | Cite as

First-passage probabilities for randomly excited mechanical systems by a selective Monte-Carlo simulation method

  • M. Labou
Article

Abstract

In this paper, Monte-Carlo methods used for the reliability assessment of structures under stochastic excitations are further advanced, e.g., by leading the generated samples towards the low probability range which is practically not assessable by direct Monte-Carlo methods. Based on criteria denoting the realizations that lead most likely to failure, a simulation technique called the “Russian Roulette and Splitting” (RR&S) is presented and discussed briefly. In a numerical example, the RR&S procedure is compared with the direct Monte-Carlo simulation method (MCS), demonstrating comparative accuracy.

Keywords

Mechanical System Simulation Method Simulation Technique Reliability Assessment Comparative Accuracy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, Inc. 2004

Authors and Affiliations

  • M. Labou
    • 1
  1. 1.Algeria

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