Title
Data-Driven Filtered Reduced Order Modeling of Fluid Flows.
Abstract
We propose a data-driven filtered reduced order model (DDF-ROM) framework for the numerical simulation of fluid flows. The novel DDF-ROM framework consists of two steps: (i) In the first step, we use ROM projection to filter the nonlinear PDE and construct a filtered ROM. This filtered ROM is low-dimensional but is not closed (because of the nonlinearity in the given PDE). (ii) In the second step, we use data-driven modeling to close the filtered ROM, i.e., to model the interaction between the resolved and unresolved modes. To this end, we use a quadratic ansatz to model this interaction and close the filtered ROM. To find the new coefficients in the closed filtered ROM, we solve an optimization problem that minimizes the difference between the full order model data and our ansatz. We emphasize that the new DDF-ROM is built on general ideas of spatial filtering and optimization and is independent of (restrictive) phenomenological arguments. We investigate the DDF-ROM in the numerical simulation of a 2D channel flow past a circular cylinder at Reynolds numbers Re = 100, Re = 500, and Re = 1000. The DDF-ROM is significantly more accurate than the standard projection ROM. Furthermore, the computational costs of the DDF-ROM and the standard projection ROM are similar, both costs being orders of magnitude lower than the computational cost of the full order model. We also compare the new DDF-ROM with modern ROM closure models in the numerical simulation of the 1D Burgers equation. For this simplified computational setting, the DDF-ROM is more accurate and significantly more efficient than these ROM closure models.
Year
DOI
Venue
2018
10.1137/17M1145136
SIAM JOURNAL ON SCIENTIFIC COMPUTING
Keywords
Field
DocType
reduced order modeling,data-driven modeling,spatial filter
Applied mathematics,Ansatz,Nonlinear system,Reynolds number,Computer simulation,Quadratic equation,Burgers' equation,Classical mechanics,Optimization problem,Physics,Spatial filter
Journal
Volume
Issue
ISSN
40
3
1064-8275
Citations 
PageRank 
References 
5
0.45
8
Authors
4
Name
Order
Citations
PageRank
Xuping Xie150.45
Muhammad Mohebujjaman250.45
Leo G. Rebholz314124.08
Traian Iliescu46610.75