Model Reduction Based on Proper Generalized Decomposition for the Stochastic Steady Incompressible Navier-Stokes Equations
نویسندگان
چکیده
In this paper we consider a Proper Generalized Decomposition method to solve the steady incompressible Navier–Stokes equations with random Reynolds number and forcing term. The aim of such technique is to compute a low-cost reduced basis approximation of the full Stochastic Galerkin ∗O.P. Le Mâıtre and A. Nouy are partially supported by GNR MoMaS (ANDRA, BRGM, CEA, EdF, IRSN, PACEN-CNRS) and by the French National Research Agency (Grants ANR08-JCJC-0022 and ANR-2010-BLAN-0904). L. Tamellini is partially supported by the Italian grant FIRB-IDEAS (Project n. RBID08223Z) “Advanced numerical techniques for uncertainty quantification in engineering and life science problems”.
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ورودعنوان ژورنال:
- SIAM J. Scientific Computing
دوره 36 شماره
صفحات -
تاریخ انتشار 2014