CHINESE JOURNAL OF COMPUTATIONAL PHYSICS ›› 2017, Vol. 34 ›› Issue (6): 651-656.

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An Efficient Parallel Direct Method for Turbulent Thermal Convection

BAO Yun, YE Mengxiang, LUO Jiahui   

  1. Department of Mechanics, Sun Yat-sen University, Guangzhou 510275, China
  • Received:2016-09-20 Revised:2017-01-20 Online:2017-11-25 Published:2017-11-25

Abstract: A parallel direct methods of DNS (PDM-DNS) for two-dimensional turbulent thermal convection was created with PDD algorithm for Poisson equation direct solving. DNS calculations of turbulent convection with high Ra were completed on "Tianhe-2" supercomputer, in which iteration time steps are over one hundred million. Effect of calculations is surprised. A calculation scale, which was difficult to achieve a year before, is realized. It shows that turbulent convection flow with different high Ra number are completely different. This work provides a valuable method for massively parallel computing and numerical simulation of turbulent convection with high Ra number.

Key words: Rayleigh-Bénard convection, turbulent, parallel calculation, PDM DNS

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