Stochastic isogeometric analysis for the linear stability assessment of plate structures using a Kriging enhanced Neural Network
Abstract
The stability of functionally graded porous plates with graphene platelets reinforcement (FGP-GPLs) is investigated in this paper. Combining with a new metamodeling approach, namely the Kriging enhanced Neural Network, a stochastic isogeometric analysis (SIGA) framework is proposed for assessing the structural stability. The uncertainties of material properties of both FGP matrix and graphene platelets are considered in the form of random fields...
Paper Details
Title
Stochastic isogeometric analysis for the linear stability assessment of plate structures using a Kriging enhanced Neural Network
Published Date
Dec 1, 2020
Journal
Volume
157
Pages
107120 - 107120
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