Volume 36 Issue 5
May  2021
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SUN Fei, SU Weiyi, HOU Qiang, WANG Mouyuan. Modal decomposition and rapid prediction of shock train oscillation for inlet[J]. Journal of Aerospace Power, 2021, 36(5): 1040-1051. doi: 10.13224/j.cnki.jasp.2021.05.015
Citation: SUN Fei, SU Weiyi, HOU Qiang, WANG Mouyuan. Modal decomposition and rapid prediction of shock train oscillation for inlet[J]. Journal of Aerospace Power, 2021, 36(5): 1040-1051. doi: 10.13224/j.cnki.jasp.2021.05.015
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Modal decomposition and rapid prediction of shock train oscillation for inlet

doi: 10.13224/j.cnki.jasp.2021.05.015

  • College of Energy and Power Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China

  • Received Date: 2020-08-10
  • Publish Date: 2021-05-28
    Abstract
  • To study the self-excited oscillation in the isolator, the unsteady characteristics of the two dimensional planar inlet were numerically simulated using the finite volume method program with time and space terms of the two-order implicit and upwind discrete schemes, unstructured grid, and shear stress transport (SST) k -ω turbulence model when the high backpressure was applied, and the self-excited oscillation of the shock train was successfully captured. On this basis, proper orthogonal decomposition (POD) and dynamic modal decomposition (DMD) methods were utilized to analyze the oscillation. The results showed that the self-excited oscillation is a complex oscillation phenomenon dominated by a low frequency and coupled with multiple frequencies. Both the predictive models based on the POD and DMD methods can accurately and quickly predict the evolutions of flow field with the prediction error less than 0.2%. The time consuming of the former and the latter was 0.22 s and 0.05 s, respectively.

     

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