HIGH-FIDELITY LES/DNS DATA FOR INNOVATIVE TURBULENCE MODELS

Risultati finali

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

Pubblicazioni

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

Autori: Alaya, Erij; Grabe, Cornelia; Knopp, Tobias
Pubblicato in: Numero 1, 2021
Editore: DLR

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

Autori: Eiximeno, B., Begiashvili, B., Miro, A., Valero, E., Rodriguez, I., Lehmkuhl, O
Pubblicato in: Technical presentation at HIFILED symposium, 2022
Editore: Cadence

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

Autori: F. Bassi, A. Colombo, A. Ghidoni, F. Massa, G. Noventa
Pubblicato in: Technical presentation at DLES13 - Direct and Large Eddy Simulation, 26th - 28th October 2022, Udine, Italy (Book of abstracts), 2022, Pagina/e 226
Editore: ERCOFTAC

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

Autori: F. Bassi, A. Colombo, F. Massa
Pubblicato in: Technical presentation at DLES13 - Direct and Large Eddy Simulation, 26th - 28th October 2022, Udine, Italy (Book of abstracts), 2022, Pagina/e 118
Editore: 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.

Autori: K. Hillewaert, A. Bilocq, M. Boxho, M., Rasquin, T. Toulorge
Pubblicato in: Technical presentation at VKI online workshop on Next-Generation High-Speed Low-Pressure Turbines, 2022
Editore: von Karman Institute

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

Autori: A. Miro, B. Eiximeno, I. Rodrıguez, and O. Lehmkuhl
Pubblicato in: Technical presentation at DLES 13, 2022
Editore: ERCOFTAC

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

Autori: F. Bassi, A. Colombo, A. Ghidoni, F. Massa, G. Noventa
Pubblicato in: 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
Editore: ECCOMAS

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

Autori: K. Hillewaert, C. Carton de Wiart, J.-S. Cagnone, A. Frère, M. Rasquin, T. Toulorge, M. Boxho
Pubblicato in: Technical keynote presentation at VKI PhD day, 2020
Editore: von Karman Institute

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

Autori: F. Bassi, A. Colombo, A. Crivellini, F. Massa
Pubblicato in: 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
Editore: ECCOMAS

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

Autori: Arnau Miro, Dirk Wunsh, Stefan Wallin, Oriol Lehmkuhl
Pubblicato in: Technical presentation at ECCOMAS CONGRESS 2022, 2022
Editore: ECCOMAS

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

Autori: Volpiani, P.S., Meyer, M., Franceschini, L., Dandois, J., Renac, F., Martin, E., Marquet, O., & Sipp, D.
Pubblicato in: Symposium on Model-Consistent Data-driven Turbulence Modeling, 2021
Editore: Symposium on Model-Consistent Data-driven Turbulence Modeling

Gene Expression Programming for Differential Reynolds Stress Models

Autori: Alaya, Erij
Pubblicato in: Numero 1, 2022
Editore: ODAS, ONERA-DLR Aerospace Symposium

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

Autori: Radhakrishnan, S., Gyamfi, L.A., Miró, A., Font, B., Calafell, J., Lehmkuhl, O.
Pubblicato in: High Performance Computing. ISC High Performance 2021. Lecture Notes in Computer Science, Numero 12761, 2021, ISBN 978-3-030-90538-5
Editore: 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

Autori: Jean-Baptiste Chapelier, Francesca Basile, Romain Laraufie, Pascal Frey
Pubblicato in: 3rd HiFiLED Conference, 2022
Editore: 3rd HiFiLED Conference

Improvement of RANS models by machine learning for a bump configuration

Autori: Volpiani, P. S., Bernardini, R. F., & Franceschini, L.
Pubblicato in: Symposium on Turbulence Modeling: Roadblocks, and the Potential for Machine Learning, 2022
Editore: Symposium on Turbulence Modeling: Roadblocks, and the Potential for Machine Learning

Development of High-Fidelity CFD in advanced softwares

Autori: Vincent Couaillier
Pubblicato in: ECCOMAS Thematic Workshop on Computational Multi-Physics, Multi-Disciplinary and Multi-Data – CM3, 2021
Editore: 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

Autori: Alaya, Erij; Grabe, Cornelia; Eisfeld, Bernhard
Pubblicato in: AIAA Aviation Conference, Numero 1, 2022
Editore: AIAA
DOI: 10.2514/6.2022-3337

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

Autori: Dupuy, Dorian Odier, Nicolas Lapeyre, Corentin Papadogiannis, Dimitrios
Pubblicato in: Data-Centric Engineering, 2023, ISSN 2632-6736
Editore: Cambridge University Press
DOI: 10.1017/dce.2023.2

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

Autori: Volpiani, P. S., Bernardini, R. F., & Franceschini, L.
Pubblicato in: International Journal of Heat and Fluid Flow, Numero 97, 2022, Pagina/e 109034, ISSN 0142-727X
Editore: Institution of Mechanical Engineering Publications
DOI: 10.1016/j.ijheatfluidflow.2022.109034

Risultati finali

Pubblicazioni

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