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20-06-12 16:00 Age: 10 years

By:  Alan R. Kerstein (Consultant, Danville,CA,USA, ehem. Sandia National Lab.)

Formulation and Application of a Sparse-Modes Method for Turbulence Simulation

Raumänderung: Raum BIB 014, Fasanenstraße 88, 10623 Berlin


Subgrid closure of coarse-grained simulations of turbulent flows is challenging near walls and for multi-physics applications such as reacting flows. The sparse-modes approach can avoid coarse-grained advancement while reducing cost relative to direct numerical simulation. In the formulation described here, the smallest scales of motion are resolved on three arrays of sub-domains, such that each array fills the flow volume and provides full resolution in one coordinate direction. Within each sub-domain, a stochastic model termed One-Dimensional Turbulence (ODT) simulates turbulent flow advancement in the resolved direction. An additional advection process couples the sub-domains so as to capture large-scale 3D motion without requiring advancement of filtered flow properties. This formulation, termed ODTLES, has been used to simulate decaying homogeneous turbulence and various wall-bounded flows. The ability of this sparse-modes type of approach to capture 3D large-scale features while affordably resolving the wall-normal structure of near-wall flow is demonstrated.


20-06-12 16:00 Age: 10 years

By:  Alan R. Kerstein (Consultant, Danville,CA,USA, ehem. Sandia National Lab.)

Formulation and Application of a Sparse-Modes Method for Turbulence Simulation

Raumänderung: Raum BIB 014, Fasanenstraße 88, 10623 Berlin


Subgrid closure of coarse-grained simulations of turbulent flows is challenging near walls and for multi-physics applications such as reacting flows. The sparse-modes approach can avoid coarse-grained advancement while reducing cost relative to direct numerical simulation. In the formulation described here, the smallest scales of motion are resolved on three arrays of sub-domains, such that each array fills the flow volume and provides full resolution in one coordinate direction. Within each sub-domain, a stochastic model termed One-Dimensional Turbulence (ODT) simulates turbulent flow advancement in the resolved direction. An additional advection process couples the sub-domains so as to capture large-scale 3D motion without requiring advancement of filtered flow properties. This formulation, termed ODTLES, has been used to simulate decaying homogeneous turbulence and various wall-bounded flows. The ability of this sparse-modes type of approach to capture 3D large-scale features while affordably resolving the wall-normal structure of near-wall flow is demonstrated.


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