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Tlales, KAutor o CoautorTlales, KenzaAutor o CoautorKheir-Eddine, OtmaniAutor o CoautorNtoukas, GAutor o CoautorNtoukas, GerasimosAutor o CoautorFerrer, EAutor o CoautorMachine learning mesh-adaptation for laminar and turbulent flows: applications to high-order discontinuous Galerkin solvers
Publicado en:Engineering With Computers. 40 (5): 2947-2969 - 2024-10-01 40(5), DOI: 10.1007/s00366-024-01950-y
Autores: Tlales, K; Otmani, KE; Ntoukas, G; Rubio, G; Ferrer, E
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Resumen
We present a machine learning-based mesh refinement technique for steady and unsteady incompressible flows. The clustering technique proposed by Otmani et al. (Phys Fluids 35(2):027112, 2023) is used to mark the viscous and turbulent regions for the flow past a cylinder at Re=40\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$Re=40$$\end{document} (steady laminar flow), at Re=100\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$Re=100$$\end{document} (unsteady laminar flow), and at Re=3900\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$Re=3900$$\end{document} (unsteady turbulent flow). Within this clustered region, we use high mesh resolution, while downgrading the resolution outside, to show that it is possible to obtain levels of accuracy similar to those obtained when using a uniformly refined mesh. The mesh adaptation is effective, as the clustering successfully identifies the two flow regions, a viscous/turbulent dominated region (including the boundary layer and wake) that requires high resolution and an inviscid/irrotational region, which only requires low resolution. The new clustering sensor is compared with traditional feature-based sensors (Q-criterion and vorticity based) commonly used for mesh adaptation. Unlike traditional sensors that rely on problem-dependent thresholds, our novel approach eliminates the need for such thresholds and locates the regions that require adaptation. After the initial validation using flows past cylinders, the clustering technique is applied in an engineering context to study the flow around a horizontal axis wind turbine configuration which has been tested experimentally at the Norwegian University of Science and Technology. The data used within this framework are generated using a high-order discontinuous Galerkin solver, allowing to locally refine the polynomial order (p-refinement) in each element of the clustered region. For the laminar test cases, we can reduce the computational cost by 32% (steady Re=40\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$Re=40$$\end{document} case) and 20% (unsteady Re=100\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$Re=100$$\end{document} case), while we get a reduction of 33% for the Re=3900\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$Re=3900$$\end{document} turbulent case. In the context of the wind turbine, a reduction of 43% in computational cost is observed, while maintaining the accuracy.
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Impacto bibliométrico. Análisis de la aportación y canal de difusión
El trabajo ha sido publicado en la revista Engineering With Computers debido a la progresión y el buen impacto que ha alcanzado en los últimos años, según la agencia WoS (JCR), se ha convertido en una referencia en su campo. En el año de publicación del trabajo, 2024 aún no existen indicios calculados, pero en 2023, se encontraba en la posición 15/170, consiguiendo con ello situarse como revista Q1 (Primer Cuartil), en la categoría Computer Science, Interdisciplinary Applications. Destacable, igualmente, el hecho de que la Revista está posicionada por encima del Percentil 90.
2025-04-30:
- Google Scholar: 12
- WoS: 3
- Scopus: 7
Impacto y visibilidad social
Análisis de liderazgo de los autores institucionales
Existe un liderazgo significativo ya que algunos de los autores pertenecientes a la institución aparecen como primer o último firmante, se puede apreciar en el detalle: Primer Autor (TLALES, KENZA) y Último Autor (FERRER VACCAREZZA, ESTEBAN).
el autor responsable de establecer las labores de correspondencia ha sido Rubio, G.