{"id":12340,"date":"2021-03-23T10:35:36","date_gmt":"2021-03-23T09:35:36","guid":{"rendered":"https:\/\/fondation-grenoble-inp.fr\/?post_type=projet&#038;p=12340"},"modified":"2025-04-14T12:58:31","modified_gmt":"2025-04-14T10:58:31","slug":"projet-yales2","status":"publish","type":"projet","link":"https:\/\/fondation-grenoble-inp.fr\/en\/projet\/projet-yales2\/","title":{"rendered":"YALES2 Project: Innovative numerical methods for the conception and optimization of hydraulic turbines"},"content":{"rendered":"<p><strong>Axe de recherche&nbsp;: <\/strong>&nbsp;Hydrodynamique, turbulence, instabilit\u00e9s, hydroacoustique, interactions fluide structure et contraintes m\u00e9caniques&nbsp;<\/p>\n\n\n\n<p><em>Correspondants :<\/em> Yann Laurent, General Electric Renewable Energy &amp; <a href=\"https:\/\/www.linkedin.com\/in\/guillaume-balarac-0a237a3\/\" target=\"_blank\" rel=\"noreferrer noopener\">Guillaume Balarac<\/a> , Laboratoire du LEGI<\/p>\n\n\n\n<p><strong>2 th\u00e8ses&nbsp;:<\/strong><\/p>\n\n\n\n<ul><li><em>Application des r\u00e9seaux de neurone pour l\u2019\u00e9tude des aspirateurs des turbines hydrauliques, <\/em><a href=\"https:\/\/www.linkedin.com\/in\/phdveras\/\" target=\"_blank\" rel=\"noreferrer noopener\">Pedro V\u00e9ras<\/a><br>>  <a href=\"https:\/\/pubs.aip.org\/aip\/pof\/article-abstract\/33\/8\/085132\/1080353\/Reconstruction-of-numerical-inlet-boundary?redirectedFrom=fulltext\" target=\"_blank\" rel=\"noreferrer noopener\">Reconstruction of numerical inlet boundary conditions using machine learning: Application to the swirling flow inside a conical diffuser, Physics of fluids<\/a><br>> <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0045793023000178\" target=\"_blank\" rel=\"noreferrer noopener\">Reconstruction of proper numerical inlet boundary conditions for draft tube flow simulations using machine learning, Science Direct<\/a><br>> <a href=\"https:\/\/iopscience.iop.org\/article\/10.1088\/1755-1315\/774\/1\/012014\/meta\" target=\"_blank\" rel=\"noreferrer noopener\">Influence of turbulent inlet conditions on the flow inside a bulb turbine draft tube using Large-Eddy Simulations, IOP Science<\/a><\/li><\/ul>\n\n\n\n<ul><li><em>Instabilit\u00e9s hydrodynamiques dans les turbines-pompe, <\/em><a href=\"https:\/\/www.linkedin.com\/in\/eliott-alloin\/\" target=\"_blank\" rel=\"noreferrer noopener\">Eliott Alloin<\/a><\/li><\/ul>\n\n\n\n<p><strong><em>2 Post-Doc :<\/em><\/strong><\/p>\n\n\n\n<ul><li><em>Impl\u00e9mentation de mod\u00e8les hybrides RANS-LES dans YALES2<\/em>, Manuel Bernard&nbsp;; <a href=\"https:\/\/www.linkedin.com\/in\/guillaumesahut\/\" target=\"_blank\" rel=\"noreferrer noopener\">Guillaume Sahut<\/a>&nbsp;<\/li><\/ul>","protected":false},"excerpt":{"rendered":"<p>Axe de recherche&nbsp;: &nbsp;Hydrodynamique, turbulence, instabilit\u00e9s, hydroacoustique, interactions fluide structure et contraintes m\u00e9caniques&nbsp; Correspondants : Yann Laurent, General Electric Renewable Energy &amp; Guillaume Balarac , Laboratoire du LEGI 2 th\u00e8ses&nbsp;: Application des r\u00e9seaux de neurone pour l\u2019\u00e9tude des aspirateurs des turbines hydrauliques, Pedro V\u00e9ras> Reconstruction of numerical inlet boundary conditions using machine learning: Application to [&hellip;]<\/p>","protected":false},"featured_media":12346,"template":"","acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v18.0 - 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