Applied Mathematics and Mechanics (English Edition) ›› 2017, Vol. 38 ›› Issue (7): 1007-1018.doi: https://doi.org/10.1007/s10483-017-2215-6

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Extension of eN method to general three-dimensional boundary layers

Lei ZHAO1, Gaotong YU1,2, Jisheng LUO1   

  1. 1. Department of Mechanics, Tianjin University, Tianjin 300072, China;
    2. The 41st Institute of No. 6 Academy, China Aerospace Science & Industry Corporation, Hohhot 010010, China
  • Received:2016-07-23 Revised:2016-09-06 Online:2017-07-01 Published:2017-07-01
  • Contact: Jisheng LUO E-mail:jsluo@tju.edu.cn
  • Supported by:

    Project supported by the National Natural Science Foundation of China (No. 11332007) and the Natural Science Foundation of Tianjin (No. 15JCYBJC19500)

Abstract:

In order to extend the eN method to general three-dimensional boundary layers, the conservation law of the imaginary parts for the wave parameters with a fixed wave vector is deduced. The compatibility relationship (CR) and the general theory of ray tracing (RT), which have been extensively used in conservative systems, are applied to a general three-dimensional boundary layer belonging to non-conservative systems. Two kinds of eN methods, i.e., the eN-CR method and the eN-RT method, are established. Both the two kinds of methods can be used to predict the evolutions of the spanwise wavenumber and the amplitude of the disturbances in general three-dimensional boundary layers. The reliability of the proposed methods is verified and validated by performing a direct numerical simulation (DNS) in a hypersonic general three-dimensional boundary layer over an aircraft model. The results are also compared with those obtained by other eN methods, indicating that the proposed methods have great potential applications in improving the transition prediction accuracy in general three-dimensional boundary layers.

Key words: magnetoelasticity, bifurcation, limit point, numerical method, straight rod carrying electric current, eN method, three-dimensional boundary layer, transition prediction, ray tracing theory

2010 MSC Number: 

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