M/F researcher "Numerical Methods and Anisotropic Mesh Adaptation for RANS and LES Simulations"

Descrizione

M/F researcher "Numerical Methods and Anisotropic Mesh Adaptation for RANS and LES Simulations" Sintesi in italiano (traduzione automatica): L'organizzazione cerca un ricercatore per approfondire le interazioni tra metodi numerici, adattamento della mesh anisotropa e modellazione della turbolenza, con l'obiettivo di sviluppare un framework di simulazione robusto e accurato per calcoli RANS e LES. Il lavoro si svolgerà presso l'Unità di Ricerca Congiunta (UMR 5519) del CNRS, dell'Institut National Polytechnique de Grenoble e dell'Università Grenoble-Alpes. Le mansioni principali includono l'analisi delle prestazioni dei metodi numerici attuali, lo sviluppo di nuovi approcci numerici, e la valutazione della coerenza tra metodi numerici e modelli di turbolenza. È richiesta una laurea in ingegneria meccanica o un campo correlato, oltre a competenze in simulazioni ad alte prestazioni e pubblicazioni scientifiche. The candidate's mission will be to gain a deeper understanding of the interactions between numerical methods, anisotropic mesh adaptation, and turbulence modeling, with the aim of developing a robust and accurate simulation framework for RANS and LES calculations in YALES2. The work will combine the analysis of limitations currently observed on highly anisotropic meshes with the development of new numerical approaches to fully exploit their potential. Particular attention will be paid to the effective accuracy of discretization schemes on anisotropic meshes, the consistency of pressure–velocity coupling, the conservation of quantities during remeshing operations, and the robustness of the RANS solver. The project will also investigate the influence of the order of numerical schemes on the optimal mesh metric, as well as the determination of appropriate time steps when semi-implicit time-integration strategies are used. The ultimate goal is to establish design principles ensuring an optimal match between numerical methods, mesh resolution, and turbulence modeling, in order to maximize simulation accuracy for a given computational cost. • Analyze the performance and limitations of current numerical methods on anisotropic meshes for RANS and LES simulations. • Develop, implement, and validate new numerical approaches within the YALES2 code. • Investigate the influence of mesh anisotropy and numerical scheme order on simulation accuracy. • Improve the robustness of pressure–velocity coupling and incompressible flow solvers. • Develop conservative remeshing and interpolation strategies. • Assess the consistency between numerical methods, mesh metrics, and turbulence models on academic and industrial test cases. • Perform large-scale simulations using high-performance computing facilities. • Disseminate research results through peer-reviewed publications and presentations at international conferences. Joint Research Unit (UMR 5519) of the Centre National de la Recherche Scientifique (CNRS), the Institut National Polytechnique de Grenoble (Grenoble INP) and the University Grenoble-Alpes (UGA). LEGI carries out a wide range of research activities with a common ground: fluid mechanics and related transport phenomena. Scientific Background : The relevance of numerical simulations of turbulent flows relies on achieving an optimal balance between accuracy and computational cost. Reynolds-Averaged Navier–Stokes (RANS) and Large-Eddy Simulation (LES) approaches provide different levels of fidelity at computational costs suited to a wide range of applications. Beyond turbulence modeling itself, their accuracy and efficiency depend strongly on the numerical methods employed and on the quality and suitability of the computational mesh. For several years, the MOST team (Modeling and Simulation of Turbulence) at LEGI has been developing automatic mesh adaptation strategies for DNS, LES, and RANS simulations within the YALES2 code. These approaches are based on physically motivated criteria to ensure that the mesh is consistent with the requirements of the selected turbulence modeling approach. Recent results have demonstrated the potential of this methodology to optimize meshes and reduce the dependence of simulation results on user choices made during mesh generation. However, several scientific and numerical challenges remain open regarding the interaction between numerical methods and meshes: effective accuracy of numerical schemes on highly anisotropic meshes (including high-order methods), preprocessing of mesh metrics (e.g., mesh gradation) to satisfy numerical constraints, robustness of pressure–velocity coupling for incompressible flows, conservation of physical quantities during remeshing and interpolation operations, and more. The recruited person will be assigned to the MOST team. The research activities of the MOST (Modelling and Simulation of Turbulence) team focus on the numerical prediction of turbulent and multiphase flows with a Annuncio in inglese. Fonte: Euraxess (Commissione europea).