Toward ultra-efficient high fidelity predictions of wind turbine wakes: Augmenting the accuracy of engineering models via LES-trained machine learning

Fuente: arXiv

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Bibliographic Details
Main Authors:	Santoni, Christian, Zhang, Dichang, Zhang, Zexia, Samaras, Dimitris, Sotiropoulos, Fotis, Khosronejad, Ali
Format:	Preprint
Published:	2024
Subjects:	Fluid Dynamics
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2404.07938