1,224 research outputs found
Proper Orthogonal Decomposition Closure Models For Turbulent Flows: A Numerical Comparison
This paper puts forth two new closure models for the proper orthogonal
decomposition reduced-order modeling of structurally dominated turbulent flows:
the dynamic subgrid-scale model and the variational multiscale model. These
models, which are considered state-of-the-art in large eddy simulation,
together with the mixing length and the Smagorinsky closure models, are tested
in the numerical simulation of a 3D turbulent flow around a circular cylinder
at Re = 1,000. Two criteria are used in judging the performance of the proper
orthogonal decomposition reduced-order models: the kinetic energy spectrum and
the time evolution of the POD coefficients. All the numerical results are
benchmarked against a direct numerical simulation. Based on these numerical
results, we conclude that the dynamic subgrid-scale and the variational
multiscale models perform best.Comment: 28 pages, 6 figure
Multiscale Analysis and Computation for the Three-Dimensional Incompressible Navier–Stokes Equations
In this paper, we perform a systematic multiscale analysis for the three-dimensional incompressible Navier–Stokes equations with multiscale initial data. There are two main ingredients in our multiscale method. The first one is that we reparameterize the initial data in the Fourier space into a formal two-scale structure. The second one is the use of a nested multiscale expansion together with a multiscale phase function to characterize the propagation of the small-scale solution dynamically. By using these two techniques and performing a systematic multiscale analysis, we derive a multiscale model which couples the dynamics of the small-scale subgrid problem to the large-scale solution without a closure assumption or unknown parameters. Furthermore, we propose an adaptive multiscale computational method which has a complexity comparable to a dynamic Smagorinsky model. We demonstrate the accuracy of the multiscale model by comparing with direct numerical simulations for both two- and three-dimensional problems. In the two-dimensional case we consider decaying turbulence, while in the three-dimensional case we consider forced turbulence. Our numerical results show that our multiscale model not only captures the energy spectrum very accurately, it can also reproduce some of the important statistical properties that have been observed in experimental studies for fully developed turbulent flows
- …