Structural Engineering and Mechanics

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Structural reliability estimation using Monte Carlo simulation and Pearson's curves

  • Krakovski, Mikhail B. (Department of Naval Architecture, University of Ulsan, Permanently Research Institute of Concrete and Reinforced Concrete)
  • Published : 1995.05.25
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Abstract

At present Level 2 and importance sampling methods are the main tools used to estimate reliability of structural systems. But sometimes application of these techniques to realistic problems involves certain difficulties. In order to overcome the difficulties it is suggested to use Monte Carlo simulation in combination with two other techniques-extreme value and tail entropy approximations; an appropriate Pearson's curve is fit to represent simulation results. On the basis of this approach an algorithm and computer program for structural reliability estimation are developed. A number of specially chosen numerical examples are considered with the aim of checking the accuracy of the approach and comparing it with the Level 2 and importance sampling methods. The field of application of the approach is revealed.

Keywords

References

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Cited by

  1. A semi-analytical simulation method for reliability assessments of structural systems vol.78, pp.3, 2002, https://doi.org/10.1016/S0951-8320(02)00171-0
  2. Discussion on: Reliability evaluation of reinforced concrete beams vol.17, pp.2, 1995, https://doi.org/10.1016/0167-4730(95)00008-R
  3. Reliability-based assessment of damaged concrete buildings vol.65, pp.6, 1995, https://doi.org/10.12989/sem.2018.65.6.751