Affiliation of Author(s):航空学院
Journal:Zhejiang Daxue Xuebao (Gongxue Ban)
Abstract:A LCVT - SVR method was proposed for structural reliability analysis in order to solve the problems of implicit limit state function and high computational effort. The method adopts the Latinized centroidal Voronoi tessellation (LCVT) sampling method in order to generate the training samples with better uniform coverage. The uniform mapping was employed to obtain a certain number of failure samples for a proper training process. The investigated limit state function (LSF) was approximated based on these training samples by a support vector regression (SVR) surrogate model which was applied to structural reliability analysis. Various sampling methods were compared under the same setting of SVR training parameters. The computational results show that the SVR surrogate model based on LCVT samples has high accuracy and robustness. The performance and applicability of the proposed method were validated by two engineering examples. © 2018, Zhejiang University Press. All right reserved.
ISSN No.:1008-973X
Translation or Not:no
Date of Publication:2018-10-01
Co-author:Zhang, Hang
Correspondence Author:lhs
Date of Publication:2018-10-01