Volume 43 Issue 8
Aug.  2017
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LI Yansu, YAN Chao, YU Jianet al. Compact shock capturing scheme for compressible multiscale flow[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(8): 1602-1609. doi: 10.13700/j.bh.1001-5965.2016.0623(in Chinese)
Citation: LI Yansu, YAN Chao, YU Jianet al. Compact shock capturing scheme for compressible multiscale flow[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(8): 1602-1609. doi: 10.13700/j.bh.1001-5965.2016.0623(in Chinese)

Compact shock capturing scheme for compressible multiscale flow

doi: 10.13700/j.bh.1001-5965.2016.0623
Funds:

National Natural Science Foundation of China 11402016

More Information
  • Corresponding author: YAN Chao, E-mail:yanchao@cqjj8.com
  • Received Date: 27 Jul 2016
  • Accepted Date: 11 Nov 2016
  • Publish Date: 20 Aug 2017
  • Aimed at compressible multiscale flow simulations, a fifth-order high-resolution compact shock capturing scheme, compact-reconstruction weighted essentially non-oscillatory (CRWENO), is studied. Nonlinear weights are used to combine lower-order compact schemes to approximate a higher-order compact scheme. The scheme becomes the fifth-order linear compact scheme in smooth regions, while preserves computational stability across discontinuities. Numerical properties were analyzed for CRWENO and weighted essentially non-oscillatory (WENO) which is widely used these days, as well as the linear schemes that they correspond to, i.e. the fifth-order upwind linear scheme and the fifth-order compact scheme. The impacts of nonlinear weights on dissipation and spectral properties are evaluated. The advancements and drawbacks of linear/nonlinear and compact/explicit schemes in compressible multiscale flow simulations are discussed by performing 1D, 2D and 3D typical numerical tests. It can be concluded that CRWENO scheme can obtain non-oscillatory results near strong discontinuous regions. Its compact characteristic improves the problems of over-dissipation and low resolution exiting in nonlinear schemes and makes it clearly resolve multiscale flow structures. In a word, CRWENO is a proper candidate for compressible multiscale flow simulations.

     

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