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Boxho Margaux

A&M

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Main Referenced Co-authors
Hillewaert, Koen  (10)
Winckelmans, Grégoire (4)
Grégoire Winckelmans (3)
Grégory Dergham (3)
Michel, Rasquin (3)
Main Referenced Keywords
Turbulence (5); ML (3); Separation (3); wmLES (3); Data-driven model (2);
Main Referenced Unit & Research Centers
Cenaero (4)
IMMC, UCLouvain (1)
Safran Tech (1)
Main Referenced Disciplines
Aerospace & aeronautics engineering (9)
Mechanical engineering (2)
Physics (1)

Publications (total 11)

The most downloaded
74 downloads
Boxho, M., Michel, R., Thomas Toulorge, Grégory Dergham, Grégoire Winckelmans, & Hillewaert, K. (27 October 2022). Data-driven wall shear stress model for Large Eddy Simulations applied to flow separation [Poster presentation]. DLES13, Udine, Italy. https://hdl.handle.net/2268/296842

The most cited

3 citations (Scopus®)

Boxho, M., Rasquin, M., Toulorge, T., Dergham, G., Winckelmans, G., & Hillewaert, K. (2022). Analysis of Space-Time Correlations to Support the Development of Wall-Modeled LES. Flow, Turbulence and Combustion. doi:10.1007/s10494-022-00365-3 https://hdl.handle.net/2268/295255

Boxho, M. (2024). Development of machine learning based wall shear stress models for LES in the presence of adverse pressure gradients and separation [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/309863

Boxho, M., Rasquin, M., Toulorge, T., Winckelmans, G., Dergham, G., & Hillewaert, K. (19 October 2023). Development of Machine Learning based wall shear stress models for LES in the presence of adverse pressure gradients and separation [Paper presentation]. Journées des doctorants Safran (JDD Haida 2023), Bordes, France.

Hillewaert, K., Bilocq, A., Boxho, M., Rasquin, M., & Toulorge, T. (2022). Challenges for the (scale-resolved) simulation of transonic turbines [Paper presentation]. VKI online workshop on Next-Generation High-Speed Low-Pressure Turbines, Rhode-St-Genèse, Belgium.

Boxho, M., Michel, R., Thomas Toulorge, Grégory Dergham, Grégoire Winckelmans, & Hillewaert, K. (27 October 2022). Data-driven wall shear stress model for Large Eddy Simulations applied to flow separation [Poster presentation]. DLES13, Udine, Italy.

Boxho, M., Rasquin, M., Toulorge, T., Dergham, G., Winckelmans, G., & Hillewaert, K. (2022). Analysis of Space-Time Correlations to Support the Development of Wall-Modeled LES. Flow, Turbulence and Combustion. doi:10.1007/s10494-022-00365-3
Peer Reviewed verified by ORBi

Boxho, M., Michel Rasquin, Thomas Toulorge, Grégory Dergham, Grégoire Winckelmans, & Hillewaert, K. (05 June 2022). Development of a Data-Driven Wall Model for Separated flows [Poster presentation]. ECCOMAS, Norway.

Boxho, M., Michel, R., Thomas Toulorge, Grégory Dergham, Grégoire Winckelmans, & Hillewaert, K. (2022). Validation of data-driven wall models on the upper and lower walls of the two-dimensional periodic hill [Paper presentation]. ACOMEN 2022, Liège, Belgium.

Boxho, M., Thomas, T., Michel, R., Grégory, D., Grégoire, W., & Hillewaert, K. (2022). Machine Learning for wall modeling in LES of separating flows [Poster presentation]. HiFiLeD: 3rd High-Fidelity Industrial LES/DNS Symposium, Bruxelle, Belgium.

Boxho, M., Hillewaert, K., Winckelmans, G., Rasquin, M., Toulorge, T., & Mouriaux, S. (13 December 2021). A data-driven wall model for the prediction of turbulent flow separation over periodic hills [Paper presentation]. neurIPS 2021.

Boxho, M., Rasquin, M., Toulorge, T., Mouriaux, S., Mercier, R., Winckelmans, G., & Hillewaert, K. (16 September 2021). Analysis of space-time correlations for the two-dimensional periodic hill problem to support the development of wall models [Paper presentation]. The 13th International ERCOFTAC symposium on engineering, turbulence, modelling and measurements, Rhodes, Greece.

Boxho, M., Rasquin, M., Toulorge, T., Mouriaux, S., Mercier, R., Winckelmans, G., & Hillewaert, K. (2021). ANALYSIS OF SPACE - TIME CORRELATIONS FOR THE TWO - DIMENSIONAL PERIODIC HILL PROBLEM TO SUPPORT THE DEVELOPMENT OF WALL MODELS. In Proceedings of the 13th International ERCOFTAC symposium on engineering, turbulence, modelling and measurements (to be published).
Peer reviewed

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