Paper Title:
Reliability Analysis of Uncertain Input Variables for Cracked Structures
  Abstract

Probabilistic analysis aims at providing an assessment of cracked structures and taking relevant uncertainties into account in a rational quantitative manner. The main focus of this research work is on uncertainties aspect which relates with the nature of crack in materials. By using cracked structures modelling, finite element calculation, generation of adaptive mesh, sampling of cracked structure including uncertainties factors and probabilistic analysis using Monte Carlo method, the rigidity of cracked structures is estimated. Assessment of the accuracy in probabilistic structures is essential when limited amount of data is available. The hybrid finite element and probabilistic analysis represents the failure probability of the structures. The probability of failure caused by uncertainties relates to loads and material properties of the structure are estimated using Monte Carlo simulation technique. Numerical examples are presented to show probabilistic analysis based on Monte Carlo simulation provides accurate estimates of failure probability. The comparison shows that the combination between finite element analysis and probabilistic analysis provides a simple and realistic of quantify the failure probability.

  Info
Periodical
Edited by
Zhou Mark
Pages
1358-1363
DOI
10.4028/www.scientific.net/AMM.52-54.1358
Citation
M.R.M. Akramin, A. Zulkifli, M. M. Mahat, "Reliability Analysis of Uncertain Input Variables for Cracked Structures", Applied Mechanics and Materials, Vols. 52-54, pp. 1358-1363, 2011
Online since
March 2011
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$32.00
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