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Structure and System Nonprobabilistic Reliability Solution Method Based on Enhanced Optimal Latin Hypercube Sampling

Auteur(s):



Médium: article de revue
Langue(s): anglais
Publié dans: International Journal of Structural Stability and Dynamics, , n. 1, v. 15
Page(s): 1450034
DOI: 10.1142/s0219455414500345
Abstrait:

Using the convex model approach, the bounds of uncertain variables are only required rather than the precise probability distributions, based on which it can be made possible to conduct the reliability analysis for many complex engineering problems with limited information. This paper aims to develop a novel nonprobabilistic reliability solution method for structures with interval uncertainty variables. In order to explore the entire domain represented by interval variables, an enhanced optimal Latin hypercube sampling (EOLHS) is used to reduce the computational effort considerably. Through the proposed method, the safety degree of a structure with convex modal uncertainty can be quantitatively evaluated. More importantly, this method can be used to deal with any general problems with nonlinear and black-box performance functions. By introducing the suggested reliability method, a convex-model-based system reliability method is also formulated. Three numerical examples are investigated to demonstrate the efficiency and accuracy of the method.

Structurae ne peut pas vous offrir cette publication en texte intégral pour l'instant. Le texte intégral est accessible chez l'éditeur. DOI: 10.1142/s0219455414500345.
  • Informations
    sur cette fiche
  • Reference-ID
    10352679
  • Publié(e) le:
    14.08.2019
  • Modifié(e) le:
    14.08.2019
 
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