Haiyan Ye

Haiyan Ye

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Haiyan Ye has a total of 6 co-authors. Here are the top co-authors by number of shared publications:

  • Aiguo Xu

    National Key Laboratory of Computational Physics, Institute of Applied Physics and Computational Mathematics, Beijing 100088, China

    1 shared publication
  • Chuandong Lin

    Sino-French Institute of Nuclear Engineering and Technology, Sun Yat-sen University 2 , Zhuhai 519082

    1 shared publication
  • Demei Li

    School of Mathematics and Statistics, Key Laboratory of Analytical Mathematics and Applications (Ministry of Education), Fujian Key Laboratory of Analytical Mathematics and Applications (FJKLAMA), Center for Applied Mathematics of Fujian Province (FJNU), Fujian Normal University, Fuzhou 350117, China

    1 shared publication
  • Huilin Lai

    School of Mathematics and Statistics Center for Applied Mathematics of Fujian Province (FJNU) Key Laboratory of Analytical Mathematics and Applications (Ministry of Education) Fujian Key Laboratory of Analytical Mathematics and Applications (FJKLAMA) Fujian Normal University 350117 Fuzhou China

    1 shared publication
  • Lu Chen

    College of Mathematics and Informatics, FJKLMAA, Fujian Normal University, Fuzhou 350117, China

    1 shared publication
  • Yanbiao Gan

    North China Institute of Aerospace Engineering, Langfang 065000, China

    1 shared publication

Latest Publications

  • Open Access

    Knudsen Number Effects on Two-Dimensional Rayleigh–Taylor Instability in Compressible Fluid: Based on a Discrete Boltzmann Method

    by Haiyan Ye, Huilin Lai, Demei Li, Yanbiao Gan, Chuandong Lin, Lu Chen, Ai-Guo Xu

    Based on the framework of our previous work [H.L. Lai et al., Phys. Rev. E, 94, 023106 (2016)], we continue to study the effects of Knudsen number on two-dimensional Rayleigh–Taylor (RT) instability in compressible fluid via the discrete Boltzmann method. It is found that the Knudsen number effects strongly inhibit the RT instability but always enormously strengthen both the global hydrodynamic non-equilibrium (HNE) and thermodynamic non-equilibrium (TNE) effects. Moreover, when Knudsen number increases, the Kelvin–Helmholtz instability induced by the development of the RT instability is difficult to sufficiently develop in the later stage. Different from the traditional computational fluid dynamics, the discrete Boltzmann method further presents a wealth of non-equilibrium information. Specifically, the two-dimensional TNE quantities demonstrate that, far from the disturbance interface, the value of TNE strength is basically zero; the TNE effects are mainly concentrated on both sides of the interface, which is closely related to the gradient of macroscopic quantities. The global TNE first decreases then increases with evolution. The relevant physical mechanisms are analyzed and discussed.