The a posteriori finite element method (APFEM), a framework for efficient parametric study and Bayesian inferences
Stochastic methods have recently been the subject of increased attention in Computational Mechanics for their ability to account for the stochasticity of both material parameters and geometrical features in their predictions. Among them, the Galerkin Stochastic Finite Element Method (GSFEM) was show...
Asıl Yazarlar: | Ammouche, Y, Jérusalem, A |
---|---|
Materyal Türü: | Journal article |
Dil: | English |
Baskı/Yayın Bilgisi: |
Elsevier
2023
|
Benzer Materyaller
-
Extension of APFEM to geometrical alterations and application to stochastic homogenisation
Yazar:: Ammouche, Y, ve diğerleri
Baskı/Yayın Bilgisi: (2024) -
A modular nonlinear stochastic finite element formulation for uncertainty estimation
Yazar:: Ammouche, Y, ve diğerleri
Baskı/Yayın Bilgisi: (2022) -
A modular nonlinear stochastic finite element formulation for uncertainty estimation
Yazar:: Ammouche, Y
Baskı/Yayın Bilgisi: (2023) -
Finite element methods : superconvergence, post-processing, and a posteriori estimates /
Yazar:: Krizek, M., ve diğerleri
Baskı/Yayın Bilgisi: (1998) -
Bayesian parametric inference /
Yazar:: 408947 Bansal, Ashok K
Baskı/Yayın Bilgisi: (2007)