DNS 1-2 Computational Details: Difference between revisions
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== Spatial and temporal resolution, grids == | == Spatial and temporal resolution, grids == | ||
The domain is discretised into <math>62\times29\times60<\math> hexahedral elements. For a polynomial order of 5, this yields 174 solution points in the transverse direction and about <math>23\times10^6</math> in total. An explicit RK45 scheme is used to advance the solution in time. | |||
The domain is discretised into | |||
<!-- Discuss the resolution of the simulation. If possible, relate it to the spectral accuracy. Indicate the | <!-- Discuss the resolution of the simulation. If possible, relate it to the spectral accuracy. Indicate the | ||
dependence of the formal accuracy of the code to the quality of the mesh. Discuss the procedure for the a priori estimation of the grid resolution. Finally, provide the grids used for the study. --> | dependence of the formal accuracy of the code to the quality of the mesh. Discuss the procedure for the a priori estimation of the grid resolution. Finally, provide the grids used for the study. --> | ||
Revision as of 06:37, 6 October 2021
Computational Details
Computational approach
The computations are performed using PyFR version 1.12.0, a python based framework for solving advection-diffusion type problems using the Flux Reconstruction approach of Huynh. The details of the numerical approach are available here.
Spatial and temporal resolution, grids
The domain is discretised into Failed to parse (unknown function "\math"): {\displaystyle 62\times29\times60<\math> hexahedral elements. For a polynomial order of 5, this yields 174 solution points in the transverse direction and about <math>23\times10^6} in total. An explicit RK45 scheme is used to advance the solution in time.
Computation of statistical quantities
Describe how the averages and correlations are obtained from the instantaneous results and how
terms in the budget equations are computed, in particular if there are differences to the proposed
approach in Introduction.
Contributed by: Lionel Agostini — Imperial College London
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