A public turbulence database cluster and applications to study Lagrangian evolution of velocity increments in turbulence

作者: Yi Li , Eric Perlman , Minping Wan , Yunke Yang , Charles Meneveau

DOI: 10.1080/14685240802376389

关键词:

摘要: A public database system archiving a direct numerical simulation (DNS) data set of isotropic, forced turbulence is described in this paper. The consists the DNS output on 10243 spatial points and 1024 time samples spanning about one large-scale turnover time. This complete 10244 spacetime history accessible to users remotely through an interface that based Web-services model. Users may write execute analysis programs their host computers, while make subroutine-like calls request desired parts over network. are thus able perform experiments by accessing 27 terabytes (TB) using regular platforms such as laptops. architecture explained, some locally defined functions, differentiation interpolation. Test calculations performed illustrate usage verify accuracy methods. then used analy...

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