Active grid turbulence anomalies through the lens of physics informed neural networks
Active grids operated with random protocols are a standard way to generate large Reynolds number turbulence in wind and water tunnels. But anomalies in the decay and third-order scaling of active-grid turbulence have been reported. We combine Laser Doppler Velocimetry and hot-wire anemometry measurements in a wind tunnel, with machine learning techniques and numerical simulations, to gain further understanding on the reasons behind these anomalies. Numerical simulations that incorporate the statistical anomalies observed in the experimental velocity field near the active grid can reproduce the experimental anomalies observed later in the decay. The results indicate that anomalies in experiments near the active grid introduce correlations in the flow that can persist for long times. • Near-field active-grid turbulence is characterized using laser Doppler Velocimetry. • The decay of active-grid turbulence presents differences with HIT. • Machine learning techniques generate appropriate initial conditions for simulations. • Direct numerical simulations mimic some anomalies of active-grid turbulence decay.
Authors
- Patricio Clark Di Leoni (ORCID: https://orcid.org/0000-0003-3789-3466)
- Pablo Cobelli (ORCID: https://orcid.org/0000-0003-2968-1877)
- Sofía Angriman (ORCID: https://orcid.org/0000-0003-2390-2800)
- Sarah E. Smith (ORCID: https://orcid.org/0000-0002-1717-5582)
- Martín Obligado (ORCID: https://orcid.org/0000-0003-3834-3941)
- Pablo D. Mininni (ORCID: https://orcid.org/0000-0001-6858-6755)
Institutions
- Institut polytechnique de Grenoble (FR)
- Portland State University (US)
- Centre National de la Recherche Scientifique (FR)
- Université de Lille (FR)
- Universidad de Buenos Aires (AR)
- University of San Andrés (AR)
- Max Planck University of Twente Center for Complex Fluid Dynamics (NL)
- Laboratoire de Mécanique des Fluides de Lille - Kampé de Fériet (FR)
- Laboratoire des Écoulements Géophysiques et Industriels (FR)
- Instituto de Física de Buenos Aires (AR)
- Fundación Ciencias Exactas y Naturales (AR)
- École Centrale de Lille (FR)
- University of Newcastle Australia (AU)
- Université Grenoble Alpes (FR)
Publication Details
- Journal
- Results in Engineering
- Published
- 2024-11-04
- DOI
- https://doi.org/10.1016/j.rineng.2024.103265
- Citations
- 2
- Primary Topic
- Fluid Dynamics and Turbulent Flows
- Type
- article
- Field-Weighted Citation Impact
- 0.75
Funders
- Universidad de Buenos Aires
- Secretaría de Ciencia y Técnica, Universidad de Buenos Aires