Full and Reduced Order Model Consistency of the Nonlinearity Discretization in Incompressible Flows

11/12/2021
by   Sean Ingimarson, et al.
0

We investigate both theoretically and numerically the consistency between the nonlinear discretization in full order models (FOMs) and reduced order models (ROMs) for incompressible flows. To this end, we consider two cases: (i) FOM-ROM consistency, i.e., when we use the same nonlinearity discretization in the FOM and ROM; and (ii) FOM-ROM inconsistency, i.e., when we use different nonlinearity discretizations in the FOM and ROM. Analytically, we prove that while the FOM-ROM consistency yields optimal error bounds, FOM-ROM inconsistency yields additional terms dependent on the FOM divergence error, which prevent the ROM from recovering the FOM as the number of modes increases. Computationally, we consider channel flow around a cylinder and Kelvin-Helmholtz instability, and show that FOM-ROM consistency yields significantly more accurate results than the FOM-ROM inconsistency.

READ FULL TEXT
research
04/20/2021

A decoupling and linearizing discretization for poroelasticity with nonlinear permeability

We analyze a semi-explicit time discretization scheme of first order for...
research
10/08/2020

On Optimal Pointwise in Time Error Bounds and Difference Quotients for the Proper Orthogonal Decomposition

In this paper, we resolve several long standing issues dealing with opti...
research
04/06/2021

A full order, reduced order and machine learning model pipeline for efficient prediction of reactive flows

We present an integrated approach for the use of simulated data from ful...
research
11/08/2022

An Energy-Based Lengthscale for Reduced Order Models of Turbulent Flows

In this paper, we propose a novel reduced order model (ROM) lengthscale ...
research
07/27/2021

An Efficient and Statistically Accurate Lagrangian Data Assimilation Algorithm with Applications to Discrete Element Sea Ice Models

Lagrangian data assimilation of complex nonlinear turbulent flows is an ...

Please sign up or login with your details

Forgot password? Click here to reset