Nonlinear optimals and their role in sustaining turbulence in channel flow
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866915357086711808 |
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| author | Klingenberg, Dario Kerswell, Rich R. |
| author_facet | Klingenberg, Dario Kerswell, Rich R. |
| contents | We investigate the energy transfer from the mean profile to velocity fluctuations in channel flow by calculating nonlinear optimal disturbances,i.e. the initial condition of a given finite energy that achieves the highest possible energy growth during a given fixed time horizon. It is found that for a large range of time horizons and initial disturbance energies, the nonlinear optimal exhibits streak spacing and amplitude consistent with DNS at least at Re_tau = 180, which suggests that they isolate the relevant physical mechanisms that sustain turbulence. Moreover, the time horizon necessary for a nonlinear disturbance to outperform a linear optimal is consistent with previous DNS-based estimates using eddy turnover time, which offers a new perspective on how some turbulent time scales are determined. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_08283 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Nonlinear optimals and their role in sustaining turbulence in channel flow Klingenberg, Dario Kerswell, Rich R. Fluid Dynamics Computational Engineering, Finance, and Science Optimization and Control Chaotic Dynamics We investigate the energy transfer from the mean profile to velocity fluctuations in channel flow by calculating nonlinear optimal disturbances,i.e. the initial condition of a given finite energy that achieves the highest possible energy growth during a given fixed time horizon. It is found that for a large range of time horizons and initial disturbance energies, the nonlinear optimal exhibits streak spacing and amplitude consistent with DNS at least at Re_tau = 180, which suggests that they isolate the relevant physical mechanisms that sustain turbulence. Moreover, the time horizon necessary for a nonlinear disturbance to outperform a linear optimal is consistent with previous DNS-based estimates using eddy turnover time, which offers a new perspective on how some turbulent time scales are determined. |
| title | Nonlinear optimals and their role in sustaining turbulence in channel flow |
| topic | Fluid Dynamics Computational Engineering, Finance, and Science Optimization and Control Chaotic Dynamics |
| url | https://arxiv.org/abs/2503.08283 |