A curated dataset for data-driven turbulence modelling
Measurement(s) velocity fields • pressure fields • turbulence fields • related gradients Technology Type(s) numerical simulation Factor Type(s) turbulence model • flow geometry Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.15124857
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/c0400f1e8dca4cd6bccf1cb3ff193f14 |
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| Résumé: | Measurement(s) velocity fields • pressure fields • turbulence fields • related gradients Technology Type(s) numerical simulation Factor Type(s) turbulence model • flow geometry Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.15124857 |
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