HIGH-FIDELITY LES/DNS DATA FOR INNOVATIVE TURBULENCE MODELS

Livrables

D3.3-33 Critical review and consolidation of best practices for DNS computations

Critical review and consolidation of best practices for DNS computations

D1.1-36c Final exploitation report

Final exploitation report

D3.2-36 Finalised DNS and LES data sets and documentation according to ERCOFTAC KB Wiki specifications

Finalised DNS and LES data sets and documentation according to ERCOFTAC KB Wiki specifications

D1.1-36b Publishable summary report

Publishable summary report

Data Management Plan

This version of the Data Management Plan will consider all issues regarding the participation of HIFI-TURB project in the Open Research Data Pilot. It will include the guidelines related to the deposition of the digital data generated during HIFI-TURB in a research data repository which will be continuously update until M36 and the required measures so as these data (and the relevant metadata) to be accessible free of charge by third parties for mining exploitation, reproduction and dissemination purposes.

D7.3-36 Test case results and descriptions from WP6 stored in KB Wiki for open access

Test case results and descriptions from WP6 stored in KB Wiki for open access

D7.2-36 All LES/DNS data and documentation stored in KB Wiki for public release

All LESDNS data and documentation stored in KB Wiki for public release

Publications

Design of a parametrized numerical experiment for a 2D turbulent boundary layer flow with varying adverse pressure gradient and separation behaviour

Auteurs: Alaya, Erij; Grabe, Cornelia; Knopp, Tobias
Publié dans: Numéro 1, 2021
Éditeur: DLR

Towards parallel data driven methods, an HPC suite for POD/DMD

Auteurs: Eiximeno, B., Begiashvili, B., Miro, A., Valero, E., Rodriguez, I., Lehmkuhl, O
Publié dans: Technical presentation at HIFILED symposium, 2022
Éditeur: Cadence

ASSESSMENT OF A DISCONTINUOUS GALERKIN SOLVER FOR THE EFFICIENT SIMULATION OF TURBULENT SEPARATED FLOWS

Auteurs: F. Bassi, A. Colombo, A. Ghidoni, F. Massa, G. Noventa
Publié dans: Technical presentation at DLES13 - Direct and Large Eddy Simulation, 26th - 28th October 2022, Udine, Italy (Book of abstracts), 2022, Page(s) 226
Éditeur: ERCOFTAC

SCALE-RESOLVING SIMULATION OF COMPRESSIBLE TURBULENT FLOWS WITH A DISCONTINUOUS GALERKIN METHOD

Auteurs: F. Bassi, A. Colombo, F. Massa
Publié dans: Technical presentation at DLES13 - Direct and Large Eddy Simulation, 26th - 28th October 2022, Udine, Italy (Book of abstracts), 2022, Page(s) 118
Éditeur: ERCOFTAC

Challenges for the (scale-resolved) simulation of transonic turbines. Presentation at VKI online workshop on Next-Generation High-Speed Low-Pressure Turbines, Rhode-St-Genèse, Belgium.

Auteurs: K. Hillewaert, A. Bilocq, M. Boxho, M., Rasquin, T. Toulorge
Publié dans: Technical presentation at VKI online workshop on Next-Generation High-Speed Low-Pressure Turbines, 2022
Éditeur: von Karman Institute

DNS and POD analysis of separated flow in a three-dimensional diffuser

Auteurs: A. Miro, B. Eiximeno, I. Rodrıguez, and O. Lehmkuhl
Publié dans: Technical presentation at DLES 13, 2022
Éditeur: ERCOFTAC

ON THE DEVELOPMENT OF A DISCONTINUOUS GALERKIN SOLVER FOR THE COMPOSITE RANS-(I)LES

Auteurs: F. Bassi, A. Colombo, A. Ghidoni, F. Massa, G. Noventa
Publié dans: Technical presentation at the 8th European Congress on Computational Methods in Applied Sciences and Engineering ECCOMAS Congress 2022 5-9 June 2022, Oslo, Norway (Book of abstracts), 2022
Éditeur: ECCOMAS

Using DNS and LES to improve understanding of flow phenomena in turbomachinery passages

Auteurs: K. Hillewaert, C. Carton de Wiart, J.-S. Cagnone, A. Frère, M. Rasquin, T. Toulorge, M. Boxho
Publié dans: Technical keynote presentation at VKI PhD day, 2020
Éditeur: von Karman Institute

IMPLICIT DISCONTINUOUS GALERKIN METHOD FOR THE EFFICIENT SCALE RESOLVING SIMULATION OF COMPRESSIBLE TURBULENT FLOWS

Auteurs: F. Bassi, A. Colombo, A. Crivellini, F. Massa
Publié dans: Technical presentation at the 8th European Congress on Computational Methods in Applied Sciences and Engineering ECCOMAS Congress 2022 5-9 June 2022, Oslo, Norway (Book of abstracts), 2022
Éditeur: ECCOMAS

Exploring new models for Explicit Algebraic Reynolds Stress Modelling using Multi-Expression Programming

Auteurs: Arnau Miro, Dirk Wunsh, Stefan Wallin, Oriol Lehmkuhl
Publié dans: Technical presentation at ECCOMAS CONGRESS 2022, 2022
Éditeur: ECCOMAS

Machine learning-augmented turbulence modelling for RANS simulations of flows over periodic hills, In Symposium on Model-Consistent Data-driven Turbulence Modeling

Auteurs: Volpiani, P.S., Meyer, M., Franceschini, L., Dandois, J., Renac, F., Martin, E., Marquet, O., & Sipp, D.
Publié dans: Symposium on Model-Consistent Data-driven Turbulence Modeling, 2021
Éditeur: Symposium on Model-Consistent Data-driven Turbulence Modeling

Gene Expression Programming for Differential Reynolds Stress Models

Auteurs: Alaya, Erij
Publié dans: Numéro 1, 2022
Éditeur: ODAS, ONERA-DLR Aerospace Symposium

Data-Driven Wall-Shear Stress Model for LES Using Gradient Boosted Decision Trees

Auteurs: Radhakrishnan, S., Gyamfi, L.A., Miró, A., Font, B., Calafell, J., Lehmkuhl, O.
Publié dans: High Performance Computing. ISC High Performance 2021. Lecture Notes in Computer Science, Numéro 12761, 2021, ISBN 978-3-030-90538-5
Éditeur: Springer, Cham
DOI: 10.1007/978-3-030-90539-2_7

An hp adaptive Discontinuous Galerkin method applied to hybrid RANS/LES simulations and compressible flow problems using unstructured grids

Auteurs: Jean-Baptiste Chapelier, Francesca Basile, Romain Laraufie, Pascal Frey
Publié dans: 3rd HiFiLED Conference, 2022
Éditeur: 3rd HiFiLED Conference

Improvement of RANS models by machine learning for a bump configuration

Auteurs: Volpiani, P. S., Bernardini, R. F., & Franceschini, L.
Publié dans: Symposium on Turbulence Modeling: Roadblocks, and the Potential for Machine Learning, 2022
Éditeur: Symposium on Turbulence Modeling: Roadblocks, and the Potential for Machine Learning

Development of High-Fidelity CFD in advanced softwares

Auteurs: Vincent Couaillier
Publié dans: ECCOMAS Thematic Workshop on Computational Multi-Physics, Multi-Disciplinary and Multi-Data – CM3, 2021
Éditeur: ECCOMAS Thematic Workshop on Computational Multi-Physics, Multi-Disciplinary and Multi-Data – CM3

Evolutionary Algorithm applied to Differential Reynolds Stress Model for Turbulent Boundary Layer subjected to an Adverse Pressure Gradient

Auteurs: Alaya, Erij; Grabe, Cornelia; Eisfeld, Bernhard
Publié dans: AIAA Aviation Conference, Numéro 1, 2022
Éditeur: AIAA
DOI: 10.2514/6.2022-3337

Modeling the wall shear stress in large-eddy simulation using graph neural networks

Auteurs: Dupuy, Dorian Odier, Nicolas Lapeyre, Corentin Papadogiannis, Dimitrios
Publié dans: Data-Centric Engineering, 2023, ISSN 2632-6736
Éditeur: Cambridge University Press
DOI: 10.1017/dce.2023.2

Neural network-based eddy-viscosity correction for RANS simulations of flows over bi-dimensional bumps.

Auteurs: Volpiani, P. S., Bernardini, R. F., & Franceschini, L.
Publié dans: International Journal of Heat and Fluid Flow, Numéro 97, 2022, Page(s) 109034, ISSN 0142-727X
Éditeur: Institution of Mechanical Engineering Publications
DOI: 10.1016/j.ijheatfluidflow.2022.109034

Livrables

Publications

Partager cette page

Télécharger