A new method for reliability analysis and reliability-based design optimization

Alfredo Canelas, Miguel Carrasco, Julio López

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

5 Citas (Scopus)

Resumen

We present a novel method for reliability-based design optimization, which is based on the approximation of the safe region in the random space by a polytope-like region. This polytope is in its turn transformed into quite a simple region by using generalized spherical coordinates. The failure probability can then be easily estimated by considering simple quadrature rules. One of the advantages of the proposed approach is that by increasing the number of vertices, we can improve arbitrarily the accuracy of the failure probability estimation. The sensitivity analysis of the failure probability is also provided. We show that the proposed approach leads to an optimization problem, where the set of optimization variables includes all the original design variables and all the parameters that control the shape of the polytope. In addition, this problem can be solved by a single iteration scheme of optimization. We illustrate the performance of the new approach by solving several examples of truss topology optimization.
Idioma originalInglés estadounidense
Páginas (desde-hasta)1655-1671
Número de páginas17
PublicaciónStructural and Multidisciplinary Optimization
Volumen59
N.º5
DOI
EstadoPublicada - 15 may 2019

Palabras clave

  • Reliability-based design
  • Stochastic structural model
  • Truss topology optimization

Huella Profundice en los temas de investigación de 'A new method for reliability analysis and reliability-based design optimization'. En conjunto forman una huella única.

Citar esto