This paper presents a novel, more efficient proper orthogonal decomposition (POD) based reduced-order model (ROM) for compressible flows. In this POD model the governing equations, i.e., the conservation of mass, momentum, and energy equations were written using specific volume instead of density. This substitution allowed for the pre-computation of the coefficients of the system of ODEs that make up the reduced-order model. Several methods were employed to enhance the stability of the ODE solver: the penalty method to enforce boundary conditions, artificial dissipation, and a method that modifies the number of modes used in the POD approximation. This new POD-based reduced-order model was validated for two cases: a two-dimensional channel and a three-dimensional axisymmetric nozzle. The speedup obtained by using the POD-based ROM vs. the full-order model exceeded four orders of magnitude in all cases tested. (C) 2020 Elsevier Inc. All rights reserved.
机构:San Diego State Univ, Dept Math & Stat, Nonlinear Dynam Grp, San Diego, CA 92182 USA
Cizmas, PG
;
Palacios, A
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San Diego State Univ, Dept Math & Stat, Nonlinear Dynam Grp, San Diego, CA 92182 USASan Diego State Univ, Dept Math & Stat, Nonlinear Dynam Grp, San Diego, CA 92182 USA
Palacios, A
;
O'Brien, T
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机构:San Diego State Univ, Dept Math & Stat, Nonlinear Dynam Grp, San Diego, CA 92182 USA
O'Brien, T
;
Syamlal, M
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机构:San Diego State Univ, Dept Math & Stat, Nonlinear Dynam Grp, San Diego, CA 92182 USA
机构:San Diego State Univ, Dept Math & Stat, Nonlinear Dynam Grp, San Diego, CA 92182 USA
Cizmas, PG
;
Palacios, A
论文数: 0引用数: 0
h-index: 0
机构:
San Diego State Univ, Dept Math & Stat, Nonlinear Dynam Grp, San Diego, CA 92182 USASan Diego State Univ, Dept Math & Stat, Nonlinear Dynam Grp, San Diego, CA 92182 USA
Palacios, A
;
O'Brien, T
论文数: 0引用数: 0
h-index: 0
机构:San Diego State Univ, Dept Math & Stat, Nonlinear Dynam Grp, San Diego, CA 92182 USA
O'Brien, T
;
Syamlal, M
论文数: 0引用数: 0
h-index: 0
机构:San Diego State Univ, Dept Math & Stat, Nonlinear Dynam Grp, San Diego, CA 92182 USA