A Platform That Accepts Sub-Grid Models As Plugins To Enable The Testing Of Les Models Against DNS Data Archived In The Johns Hopkins Turbulent Databases

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Thorpe, Graham and Grossman, Igor (2016) A Platform That Accepts Sub-Grid Models As Plugins To Enable The Testing Of Les Models Against DNS Data Archived In The Johns Hopkins Turbulent Databases. Other. Victoria University. (Unpublished)

Abstract

The Johns Hopkins Turbulent Databases (JHTDB) is a publicly accessible archive of solutions of the Navier-Stokes equations obtained for forced isotropic turbulence. The solutions are obtained by direct numerical simulation (DNS) of the Navier-Stokes equation and they are accurate to about six decimal places. However, the solution is obtained at 1024×1024×1024 points in space and 1024 time samples that span about one turnover time of the largest flow structure. The entire space-time history of turbulence contains in excess of 1024 data points and it is accessible to users remotely through an interface that is based on the Web-services model. The JHTDB is an invaluable source of data against which models of turbulence can be evaluated. However, this database contains 160 petabytes (1.6×1017 PB) of information and it is a serious challenge if we wish to use it routinely for practical analyses (9,779,997,251,909 points queried). The natural answer to this challenge is to seek the application of database technology in computational fluid dynamics (CFD) and turbulence research. The purpose of this work is to create platform based on modular programming that allows LES models to be dynamically loaded and to be rapidly evaluated against data in the JHTDB. The calls diagrams, class lists and source code are provided to help and support code logic and usage of the proposed platform. Further assistance with using the work can be obtained from Mr Igor Grossman at igor.grossman@live.vu.edu.au

Item type Monograph (Other)
URI https://vuir.vu.edu.au/id/eprint/30976
Subjects Historical > FOR Classification > 0802 Computation Theory and Mathematics
Historical > FOR Classification > 0806 Information Systems
Current > Division/Research > College of Science and Engineering
Keywords JHTDB; LES; direct numerical simulation; Navier-Stokes equation; computational fluid dynamics
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