Klingenberg, Dario (2025): A dataset of nonlinear optimals in turbulent channel flow [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.983358
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Published: 2025-07-01 • DOI registered: 2025-07-31
Abstract:
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. In this dataset, the initial conditions and temporal evolutions of all calculated optimals are compiled, along with post-processing scripts.
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Binary Object | Binary | Klingenberg, Dario | Numerical simulated | ||
| 2 | Binary Object (File Size) | Binary (Size) | Bytes | Klingenberg, Dario | Numerical simulated | |
| 3 | Figure | Fig | Klingenberg, Dario | Numerical simulated | ||
| 4 | Title | Title | Klingenberg, Dario | Numerical simulated | ||
| 5 | File name | File name | Klingenberg, Dario | Numerical simulated | ||
| 6 | Variable | Variable | Klingenberg, Dario | Numerical simulated |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC) * Processing Level: PANGAEA data processing level 2 (ProcLevel2)
Size:
64 data points