On the stability of projection-based model order reduction for convection-dominated laminar and turbulent flows

JOURNAL OF COMPUTATIONAL PHYSICS

卷:419

Article

Grimberg, Sebastian¹  Farhat, Charbel^1,2,3  Youkilis, Noah¹ 

[1] Stanford Univ, Dept Aeronaut & Astronaut, Stanford, CA 94305 USA

[2] Stanford Univ, Dept Mech Engn, Stanford, CA 94305 USA

[3] Stanford Univ, Inst Computat & Math Engn, Stanford, CA 94305 USA

关键词: Nonlinear model reduction;    Petrov-Galerkin;    Computational fluid dynamics (CFD);   

DOI  :  10.1016/j.jcp.2020.109681

来源: Elsevier

【 摘 要 】

In the literature on nonlinear projection-based model order reduction for computational fluid dynamics problems, it is often claimed that due to modal truncation, a projection-based reduced-order model (PROM) does not resolve the dissipative regime of the turbulent energy cascade and therefore is numerically unstable. Efforts at addressing this claim have ranged from attempting to model the effects of the truncated modes to enriching the classical subspace of approximation in order to account for the truncated phenomena. The objective of this paper is to challenge this claim. Exploring the relationship between projection-based model order reduction and semi-discretization and using numerical evidence from three relevant flow problems, this paper argues in an orderly manner that the real culprit behind most if not all reported numerical instabilities of PROMs for turbulence and convection-dominated turbulent flow problems is the Galerkin framework that has been used for constructing the PROMs. The paper also shows that alternatively, a Petrov-Galerkin framework can be used to construct numerically stable and accurate PROMs for convection-dominated laminar as well as turbulent flow problems, without resorting to additional closure models or tailoring of the subspace of approximation. It also shows that such alternative PROMs deliver significant speed-up factors. (C) 2020 Elsevier Inc. All rights reserved.

【 授权许可】

Free