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Direct numerical simulation of sub-grid structures in gas-solid flow — GPU implementation of macro-scale pseudo-particle modeling

Qingang Xiong, Bo Li, Feiguo Chen, Jingsen Ma, Wei Ge, Jinghai Li
State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering (IPE), Chinese Academy of Sciences (CAS), P.O. Box 353, Beijing 100190, China
Chemical Engineering Science, Volume 65, Issue 19, 1 October 2010, Pages 5356-5365 (07 July 2010)

@article{xiong2010direct,

   title={Direct numerical simulation of sub-grid structures in gas-solid flow—GPU implementation of macro-scale pseudo-particle modeling},

   author={Xiong, Q. and Li, B. and Chen, F. and Ma, J. and Ge, W. and Li, J.},

   journal={Chemical Engineering Science},

   issn={0009-2509},

   year={2010},

   publisher={Elsevier}

}

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Due to significant multi-scale heterogeneity, understanding sub-grid structures is critical to effective continuum-based description of gas-solid flow. However, it is challenging for both physical measurements and numerical simulations. In this article, with the macro-scale pseudo-particle method (MaPPM) implemented on a GPU-based HPC system, up to 30,000 fluidized solids are simulated using the N-S equation directly. The destabilization of uniform suspensions and the formation of solids clusters are reproduced in two-dimensional suspensions. Distinct scale-dependence of the statistical properties in the systems at moderate solid/gas density ratio is observed. Obvious cluster formation and its effect on drag coefficient are shown in a system at high solid/gas density ratio. On the computational side, about 19 folds speed-up is obtained on one GT200 GPU, as compared to a mainstream CPU core. The necessity for investigating even larger systems is prospected.
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