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Taylor Series Finite Difference for Reliability Assessment at the Design Stage

  • Xavier Zwingmann
  • Daoud Aït-Kadi
  • Bernard Mutel
  • Amadou Coulibaly
Conference paper

Abstract

In this article, the stress/strength approach coupled with the Taylor series finite difference is used to assess the reliability of innovative products at the design stage. This article highlights the proposed approach and presents an illustrative example. The approach has been successfully applied to assess the reliability of wheelchair components.

Keywords

Design Variable Performance Function Design Point Innovative Product Virtual Prototype 
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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References

  1. 1.
    Rackwitz R. Reliability analysis — a review and some perspectives. Structural Safety 2001;23:365–395.CrossRefGoogle Scholar
  2. 2.
    Kececioglu D. Probabilistic design methods for reliability and their data and research requirements. In: Failure Prevention and Reliability; the American Society of Mechanical Engineers, New York 1977; 285–309Google Scholar
  3. 3.
    Zwingmann X., Aït-Kadi D., Coulibaly A., Mutel B. Product reliability assessment using virtual samples. In: IEEE International Conference on Systems, Man and Cybernetics, vol 3, Hammamet 2002; 629–634.Google Scholar
  4. 4.
    Pendola M., Mohamed A., Lemaire M., Hornet P. Combination of finite element and reliability methods in nonlinear fracture mechanics. Reliability Engineering and System Safety 2000; 70:15–27.CrossRefGoogle Scholar
  5. 5.
    Haldar A., Mahadevan S. Probability, Reliability and Statistical Methods in Engineering Design. John Wiley & Sons, New York 2000.Google Scholar
  6. 6.
    Lewis E.E. Introduction to Reliability Engineering. John Wiley & Sons, New York 1987.Google Scholar
  7. 7.
    El Khair El Idrissi A., Aït-Kadi D., Simard C. Utilisation des techniques bayesiennes pour la prévision de la fiabilité et formalisation des connaissances a priori. In: Congrès international de Génie Industriel, vol 3, Montréal 1995; 1457–1467.Google Scholar
  8. 8.
    Guérin F., Dumon B., Hambli R. Estimation of failure probability by Bayesian method using Monte Carlo simulation in structural reliability problems. In: International Conference on Monte Carlo Simulation, Rotterdam 2001; 309-316.Google Scholar
  9. 9.
    Schuëller G.I. Recent Software Developments for Structural ReliabilityAssessment. In: PSAM 5 — Probabilistic Safety Assessment and Management, Universal Academy Press, vol 2, Tokyo 2000; 1229–1234.Google Scholar

Copyright information

© Springer-Verlag London 2004

Authors and Affiliations

  • Xavier Zwingmann
    • 1
  • Daoud Aït-Kadi
    • 1
  • Bernard Mutel
    • 2
  • Amadou Coulibaly
    • 2
  1. 1.CENTOR, Laval UniversityQuébecCanada
  2. 2.LRPS, INSAStrasbourgFrance

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