## A PLATFORM THAT ACCEPTS SUB-GRID MODELS AS PLUGINS TO ENABLE THE TESTING OF LES MODELS AGAINST DNS DATA
## 摘要The Johns Hopkins Turbulent Databases (JHTDB) form a publicly accessible archive of solutions of the Navier-Stokes equations. The solutions are obtained by direct numerical simulation (DNS) are accurate to about six decimal places. However, the solution is obtained at 1024×1024×1024 points in space and 1024 time samples. This database contains 160 petabytes of information and it is a serious challenge if we wish to use it routinely for practical analyses. A natural answer to this challenge is to seek the application of 'database technology' in computational fluid dynamics (CFD) and turbulence research. Direct numerical solution (DNS) of the Navier-Stokes equation resolves all of the flow structures that influence turbulent flows, but in the case of LES the Navier-Stokes equation is spatially filtered so that it is expressed in terms of the velocities of larger scale structures. The rate of viscous dissipation is quantified by modelling the shear stress, and this process can lead to error. A means of rapid testing and evaluation of models is therefore required and this involves working with large data sets. |

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