Verifiability and Limit Consistency of Eddy Viscosity Large Eddy Simulation Reduced Order Models

Abstract Large eddy simulation reduced order models (LES-ROMs) are ROMs that leverage LES ideas (e.g., filtering and closure modeling) to construct accurate and efficient ROMs for convection-dominated (e.g., turbulent) flows. Eddy viscosity (EV) ROMs (e.g., Smagorinsky ROM (S-ROM)) are LES-ROMs whose closure model consists of a diffusion-like operator in which the viscosity depends on the ROM velocity. We propose the Ladyzhenskaya ROM (L-ROM), which is a generalization of the S-ROM. Furthermore, we prove two fundamental numerical analysis results for the new L-ROM and the classical S-ROM: (i) We prove the verifiability of the L-ROM and S-ROM, i.e., that the ROM error is bounded (up to a constant) by the ROM closure error. (ii) We introduce the concept of ROM limit consistency (in a discrete sense), and prove that the L-ROM and S-ROM are limit consistent, i.e., that as the ROM dimension approaches the rank of the snapshot matrix, d , and the ROM lengthscale goes to zero, the ROM solution converges to the “true solution" , i.e., the solution of the d -dimensional ROM. Finally, we illustrate numerically the verifiability and limit consistency of the new L-ROM and S-ROM in two under-resolved convection-dominated problems that display sharp gradients: the 1D Burgers equation with a small diffusion coefficient; and the 2D lid-driven cavity flow at Reynolds number $$\textrm{Re}=15,000$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mtext>Re</mml:mtext> <mml:mo>=</mml:mo> <mml:mn>15</mml:mn> <mml:mo>,</mml:mo> <mml:mn>000</mml:mn> </mml:mrow> </mml:math> .

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Publication Details

Journal
Journal of Scientific Computing
Published
2025-11-04
DOI
https://doi.org/10.1007/s10915-025-03106-6
Primary Topic
Model Reduction and Neural Networks
Type
article
Field-Weighted Citation Impact
0.00

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article

Verifiability and Limit Consistency of Eddy Viscosity Large Eddy Simulation Reduced Order Models

IC Moore, Jorge Reyes, Ping-Hsuan Tsai, Traian Iliescu et al.
Journal of Scientific Computing
Model Reduction and Neural Networks
article

Verifiability and Limit Consistency of Eddy Viscosity Large Eddy Simulation Reduced Order Models

IC Moore, Jorge Reyes, Ping-Hsuan Tsai, Traian Iliescu, Honghu Liu
article en

Abstract

Abstract Large eddy simulation reduced order models (LES-ROMs) are ROMs that leverage LES ideas (e.g., filtering and closure modeling) to construct accurate and efficient ROMs for convection-dominated (e.g., turbulent) flows. Eddy viscosity (EV) ROMs (e.g., Smagorinsky ROM (S-ROM)) are LES-ROMs whose closure model consists of a diffusion-like operator in which the viscosity depends on the ROM velocity. We propose the Ladyzhenskaya ROM (L-ROM), which is a generalization of the S-ROM. Furthermore, we prove two fundamental numerical analysis results for the new L-ROM and the classical S-ROM: (i) We prove the verifiability of the L-ROM and S-ROM, i.e., that the ROM error is bounded (up to a constant) by the ROM closure error. (ii) We introduce the concept of ROM limit consistency (in a discrete sense), and prove that the L-ROM and S-ROM are limit consistent, i.e., that as the ROM dimension approaches the rank of the snapshot matrix, d , and the ROM lengthscale goes to zero, the ROM solution converges to the “true solution" , i.e., the solution of the d -dimensional ROM. Finally, we illustrate numerically the verifiability and limit consistency of the new L-ROM and S-ROM in two under-resolved convection-dominated problems that display sharp gradients: the 1D Burgers equation with a small diffusion coefficient; and the 2D lid-driven cavity flow at Reynolds number $$\textrm{Re}=15,000$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mtext>Re</mml:mtext> <mml:mo>=</mml:mo> <mml:mn>15</mml:mn> <mml:mo>,</mml:mo> <mml:mn>000</mml:mn> </mml:mrow> </mml:math> .

Journal of Scientific ComputingVol. 105(3)
Virginia Tech (US)
National Science Foundation
Openalex Percentile: Top 74%
Model Reduction and Neural Networks
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Verifiability and Limit Consistency of Eddy Viscosity Large Eddy Simulation Reduced Order Models — IC Moore, Jorge Reyes, et al. · Journal of Scientific Computing (2025) | TGRS Research Map | TGRS