Published July 2021 | Version v1
Journal article

The DGDD method for reduced-order modeling of conservation laws

  • 1. INRIA Bordeaux Sud-Ouest, Team MEMPHIS, 33400 Talence (France)
  • 2. IMB, UMR 5251, Univ. Bordeaux, 33400 Talence (France)
  • 3. Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA 94305 (United States)
  • 4. Department of Mechanical Engineering, Stanford University, Stanford, CA 94305 (United States)
  • 5. Department of Aeronautics and Astronautics, Stanford University, Stanford, CA 94305 (United States)

Description

Highlights: • A new domain decomposition method for reduced-order models is proposed. • ROMs approximate the flow in low-fidelity regions, while the HDM is used elsewhere. • The discontinuous Galerkin method offers a simple way to couple the HDM and ROMs. • The integrals of the DG formulation are efficiently evaluated by the ECSW method. • Unsteady flows in presence of shocks are accurately predicted by the proposed method. The discontinuous Galerkin domain decomposition (DGDD) method couples subdomains of high-fidelity polynomial approximation to regions of low-dimensional resolution for the numerical solution of systems of conservation laws. In the low-fidelity regions, the solution is approximated by empirical modes constructed by Proper Orthogonal Decomposition and a reduced-order model is used to predict the solution. The high-dimensional model instead solves the system of conservation laws only in regions where the solution is not amenable to a low-dimensional representation. The coupling between the high-dimensional and the reduced-order models is then performed in a straightforward manner through numerical fluxes at discrete cell boundaries. We show results from application of the proposed method to parametric problems governed by the quasi-1D and 2D compressible Euler equations. In particular, we investigate the prediction of unsteady flows in a converging-diverging nozzle and over a NACA0012 airfoil in presence of shocks. The results demonstrate the stability and the accuracy of the proposed method and the significant reduction of the computational cost with respect to the high-dimensional model.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jcp.2021.110336

Additional details

Identifiers

DOI
10.1016/j.jcp.2021.110336;
PII
S002199912100231X;

Publishing Information

Journal Title
Journal of Computational Physics (Print)
Journal Volume
437
Journal Page Range
vp.
ISSN
0021-9991
CODEN
JCTPAH

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54001720
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
AIRFOILS; COMPUTERIZED SIMULATION; CONSERVATION LAWS; NOZZLES; NUMERICAL SOLUTION; POLYNOMIALS; RESOLUTION; UNSTEADY FLOW
Descriptors DEC
FLUID FLOW; FUNCTIONS; MATHEMATICAL SOLUTIONS; SIMULATION

Optional Information

Copyright
Copyright (c) 2021 Elsevier Inc. All rights reserved.