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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.11416 |
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| _version_ | 1866929595324825600 |
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| author | Patil, Akshay García-Sánchez, Clara |
| author_facet | Patil, Akshay García-Sánchez, Clara |
| contents | In this study, we introduced a simple yet innovative method to trigger turbulence in a channel flow to achieve statistically stationary flow conditions. We compare this new method based on synthetically generated three-dimensional turbulence with two other well-established methods, namely, linear profile superposed with random noise and descending counter-rotating vortices and log-law profile superposed with random noise and descending counter-rotating vortices. We found that synthetically generated three-dimensional turbulence provides a computationally cheap and effective way to reduce simulation spin-up to achieve statistically stationary flow conditions when a precursor turbulent initial condition is not available. At a one-time cost of less than 1 CPU hour to generate the synthetic turbulent initial condition, the flow becomes statistically stationary within 3 eddy turnovers for all the parameters of interest in wall-bounded pressure-driven channel flow simulations when compared to other alternatives that can take more than 10 eddy turnovers resulting in substantial savings in the computational cost. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_11416 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Fake it till you make it: using artificial turbulence to achieve swift converged turbulence statistics in a pressure-driven channel flow Patil, Akshay García-Sánchez, Clara Fluid Dynamics In this study, we introduced a simple yet innovative method to trigger turbulence in a channel flow to achieve statistically stationary flow conditions. We compare this new method based on synthetically generated three-dimensional turbulence with two other well-established methods, namely, linear profile superposed with random noise and descending counter-rotating vortices and log-law profile superposed with random noise and descending counter-rotating vortices. We found that synthetically generated three-dimensional turbulence provides a computationally cheap and effective way to reduce simulation spin-up to achieve statistically stationary flow conditions when a precursor turbulent initial condition is not available. At a one-time cost of less than 1 CPU hour to generate the synthetic turbulent initial condition, the flow becomes statistically stationary within 3 eddy turnovers for all the parameters of interest in wall-bounded pressure-driven channel flow simulations when compared to other alternatives that can take more than 10 eddy turnovers resulting in substantial savings in the computational cost. |
| title | Fake it till you make it: using artificial turbulence to achieve swift converged turbulence statistics in a pressure-driven channel flow |
| topic | Fluid Dynamics |
| url | https://arxiv.org/abs/2411.11416 |