Eigenvalue spectra of spatial stability for shear flows

<p indent="0mm">For fluid dynamics, it is undoubtedly very important to obtain and achieve the insights into the eigenvalue spectra of disturbances of flow fields. In this paper, the Arnoldi method is employed to numerically solve the eigenvalue spectra and eigenfunction of the spatial linear stability equation for shear flows. Specifically, four classical compressible and incompressible shear flows are numerically treated. This work obtains the spectra of their eigenvalues in spatial stability, and then analyzes the characteristics of continuous and discrete spectra. In addition, the eigenfunctions of each branch spectrum are solved and analyzed. The results indicate that compared to the temporal mode, there are more complex spectra of eigenvalues and more spectral branches in the spatial mode.

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Publication Details

Journal
Zhongguo kexue. Wulixue Lixue Tianwenxue
Published
2024-08-12
DOI
https://doi.org/10.1360/sspma-2024-0245
Primary Topic
Fluid Dynamics and Turbulent Flows
Type
article
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article

Eigenvalue spectra of spatial stability for shear flows

Jianhua Liu, Zhizheng Wu, Feijun Wang, Junbo LV et al.
Zhongguo kexue. Wulixue Lixue Tianwenxue
Fluid Dynamics and Turbulent Flows
article

Eigenvalue spectra of spatial stability for shear flows

Jianhua Liu, Zhizheng Wu, Feijun Wang, Junbo LV, Yongming ZHANG
article en

Abstract

<p indent="0mm">For fluid dynamics, it is undoubtedly very important to obtain and achieve the insights into the eigenvalue spectra of disturbances of flow fields. In this paper, the Arnoldi method is employed to numerically solve the eigenvalue spectra and eigenfunction of the spatial linear stability equation for shear flows. Specifically, four classical compressible and incompressible shear flows are numerically treated. This work obtains the spectra of their eigenvalues in spatial stability, and then analyzes the characteristics of continuous and discrete spectra. In addition, the eigenfunctions of each branch spectrum are solved and analyzed. The results indicate that compared to the temporal mode, there are more complex spectra of eigenvalues and more spectral branches in the spatial mode.

Zhongguo kexue. Wulixue Lixue TianwenxueVol. 54(10)
Openalex Percentile: Top 86%
Fluid Dynamics and Turbulent Flows
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