期刊文献+

Mode decomposition of a noise suppressed mixing layer 被引量:1

Mode decomposition of a noise suppressed mixing layer
下载PDF
导出
摘要 Noise is generated in a two-dimensional mixing layer due to the growing of instability waves and vortex pairings. The adjoint-based control methodology has shown to be a robust tool to suppress noise radiation. The mode decomposition algorithms such as the compressible version of proper orthogonal decomposition (POD) and dynamic mode decomposition (DMD) are employed to analyze the spatial/spatial-temporal coherent structures for a consecutive data sets of the controlled mixing layer and its uncontrolled counterpart. The analyses of POD indicate that the y-direction body force control mainly modify the most energetic spatial structures, and increase the uniformity of the flow. The analyses of DMD show us prevalent frequencies and corresponding mode structures, and the stability characteristics of each mode can be obtained from DMD-spectrum. The spectral signatures illustrate that a lot of neutral/slightly damping modes emerging in uncontrolled flow within the frequency range (w 〈 0.4) are suppressed due to control, relevant spatial-temporal structures are also varied, which is coincident with the change of far-field noise spectra. From the view of mode decomposition, the action of control redistribute the energy for frequency components of ~ 〈 0.4 by weakening nonlinearities and regularizing corresponding dynamic structures in streamwise direction, and thus suppress the noise radiation. Moreover, the POD- and DMD-analysis in this study demon- strate that DMD can serve as an important supplement for POD in analyzing a time-resolved physical process. Noise is generated in a two-dimensional mixing layer due to the growing of instability waves and vortex pairings. The adjoint-based control methodology has shown to be a robust tool to suppress noise radiation. The mode decomposition algorithms such as the compressible version of proper orthogonal decomposition (POD) and dynamic mode decomposition (DMD) are employed to analyze the spatial/spatial-temporal coherent structures for a consecutive data sets of the controlled mixing layer and its uncontrolled counterpart. The analyses of POD indicate that the y-direction body force control mainly modify the most energetic spatial structures, and increase the uniformity of the flow. The analyses of DMD show us prevalent frequencies and corresponding mode structures, and the stability characteristics of each mode can be obtained from DMD-spectrum. The spectral signatures illustrate that a lot of neutral/slightly damping modes emerging in uncontrolled flow within the frequency range (w 〈 0.4) are suppressed due to control, relevant spatial-temporal structures are also varied, which is coincident with the change of far-field noise spectra. From the view of mode decomposition, the action of control redistribute the energy for frequency components of ~ 〈 0.4 by weakening nonlinearities and regularizing corresponding dynamic structures in streamwise direction, and thus suppress the noise radiation. Moreover, the POD- and DMD-analysis in this study demon- strate that DMD can serve as an important supplement for POD in analyzing a time-resolved physical process.
出处 《Theoretical & Applied Mechanics Letters》 CAS 2013年第4期44-48,共5页 力学快报(英文版)
基金 supported by the National Natural Science Foundation of China (11072238, 11232011) 111 project (B07033)
关键词 mixing layer noise dynamic mode decomposition mixing layer, noise, dynamic mode decomposition
  • 相关文献

参考文献19

  • 1M. Wang, J. B. Freund, and S. K. Lele, Annu. Rev. Fluid Mech. 38,483 (2006).
  • 2T. Colonius, S. K. Lele, and P. Moin, J. Fluid Mech. 330, 375 (1997).
  • 3M. J. Lighthill, Proc. R. Soc. Lond. A 211, 564 (1952).
  • 4M. J. Lighthill, Proc. R. Soc. Lond. A 222, 1 (1954).
  • 5O. M. Phillips, J. Fluid Mech. 9, 1 (1960).
  • 6G. M. Lilley, AGARD CP-131 (1974).
  • 7M. E. Goldstein, J. Fluid Mech. 488, 315 (2003).
  • 8J. B. Freund, J. Fluid Mech. 438, 277 (2001).
  • 9J. B. Freund, Phys. Fluids 15, 1788 (2003).
  • 10C. Bogey and C. Bailly, Theor. Comput. Fluid Dyn. 20, 23 (2006).

同被引文献8

引证文献1

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部