A new stochastic isogeometric analysis method based on reduced basis vectors for engineering structures with random field uncertainties
Abstract
A new stochastic isogeometric analysis method based on reduced basis vectors (SRBIGA) is proposed for engineering structures with random field material properties and external loads. Based on the Galerkin isogeometric functions, the proposed SRBIGA applies the Karhunen–Loève expansion to discretize the random field uncertainties. Inspired by the stochastic Krylov subspace theory, the structural responses of linear elasticity structures with...
Paper Details
Title
A new stochastic isogeometric analysis method based on reduced basis vectors for engineering structures with random field uncertainties
Published Date
Jan 1, 2021
Volume
89
Pages
966 - 990
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