期刊
ADVANCES IN COMPUTATIONAL MATHEMATICS
卷 45, 期 5-6, 页码 2587-2621出版社
SPRINGER
DOI: 10.1007/s10444-019-09739-0
关键词
Reduced order model; Spatial filter; Commutation error; Data-driven model
For reduced order models (ROMs) of fluid flows, we investigate theoretically and computationally whether differentiation and ROM spatial filtering commute, i.e., whether the commutation error (CE) is nonzero. We study the CE for the Laplacian and two ROM filters: the ROM projection and the ROM differential filter. Furthermore, when the CE is nonzero, we investigate whether it has any significant effect on ROMs that are constructed by using spatial filtering. As numerical tests, we use the Burgers equation with viscosities nu = 10(- 1) and nu = 10(- 3) and a 2D flow past a circular cylinder at Reynolds numbers Re = 100 and Re = 500. Our investigation (i) measures the size of the CE in these test problems and (ii) shows that the CE has a significant effect on ROM development for high viscosities, but not so much for low viscosities.
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