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On the stability and convergence of a Galerkin reduced order model (ROM) of compressible flow with solid wall and far‐field boundary treatment
Authors:I. Kalashnikova  M. F. Barone
Affiliation:1. Institute for Computational and Mathematical Engineering, Stanford University, 496 Lomita Mall, Stanford, CA 94305, U.S.A.;2. Sandia National Laboratories, Aerosciences Department, P.O. Box 5800, MS 0825, Albuquerque, NM 87185, U.S.A.;3. Sandia National Laboratories, Wind and Water Power Technologies Department, P.O. Box 5800, MS 1124, Albuquerque, NM 87185, U.S.A.
Abstract:A reduced order model (ROM) based on the proper orthogonal decomposition (POD)/Galerkin projection method is proposed as an alternative discretization of the linearized compressible Euler equations. It is shown that the numerical stability of the ROM is intimately tied to the choice of inner product used to define the Galerkin projection. For the linearized compressible Euler equations, a symmetry transformation motivates the construction of a weighted L2 inner product that guarantees certain stability bounds satisfied by the ROM. Sufficient conditions for well‐posedness and stability of the present Galerkin projection method applied to a general linear hyperbolic initial boundary value problem (IBVP) are stated and proven. Well‐posed and stable far‐field and solid wall boundary conditions are formulated for the linearized compressible Euler ROM using these more general results. A convergence analysis employing a stable penalty‐like formulation of the boundary conditions reveals that the ROM solution converges to the exact solution with refinement of both the numerical solution used to generate the ROM and of the POD basis. An a priori error estimate for the computed ROM solution is derived, and examined using a numerical test case. Published in 2010 by John Wiley & Sons, Ltd.
Keywords:reduced order model (ROM)  proper orthogonal decomposition (POD)/Galerkin projec‐tion  linearized compressible Euler equations  numerical stability  error estimates  penalty method
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