Dr. Jean Al Am

Aviation Academic Programs

Assistant Professor

Qualification: Ph.D. in fluid dynamics at Ecole Centrale de Lyon and Safran, France

Research Interest:

  • Computational Fluid Dynamics (CFD)
  • Aerodynamics noise predictions (Fan or propellers, compressor and turbine blades).
  • RANS and Large eddy simulations (LES, WMLES, WRLES).
  • Turbulence models
  • Wind-tunnel Experimental Analysis.
  • Propulsion systems.
  • Combustion and heat transfer.
  • Aircraft Maintenance Analysis

Research Grants:

  • PRACE project (LESFOS, id.2021240101) award of 30 million CPUh to perform a first of its kind high fidelity computation on a full fan/OGV stage of future generation aeroengines (selected between 43 laureate projects in Europe). https://prace-ri.eu/hpc-access/project-access/project-access-awarded-projects/projectsawarded-under-prace-project-access-call-23/#Engineering
  • Four grants for a total of 20 millions CPUh from CCRT France.
  • J. Al-Am, V. Clair, A. Giauque, J. Boudet, and F. Gea-Aguilera. Direct noise predictions of an UHBR turbofan stage: periodic sector vs full annulus large-eddy simulations. AIAA Journal, 2024, p. 1-15. https://doi.org/10.2514/1.J063596.
  • J. Al-Am, V. Clair, A. Giauque, J. Boudet, and F. Gea-Aguilera. Aeroacoustic analysis of the tip-leakage flow of an ultrahigh bypass ratio fan stage. Physics of Fluids, 35, 047104, 2023. https://doi.org/10.1063/5.0146143.
  • J. Al-Am, V. Clair, A. Giauque, J. Boudet, and F. Gea-Aguilera. On the effects of a separation bubble on fan noise. Journal of Sound and Vibration, 537, 2022. https://doi.org/10.1016/j.jsv.2022.117180.
  •  J. Al-Am, V. Clair, A. Giauque, J. Boudet, and F. Gea-Aguilera. A parametric study on the LES numerical setup to investigate fan/OGV broadband noise. International Journal of Turbomachinery, Propulsion and Power, 6(2) :12, 2021. https://doi.org/10.3390/ijtpp6020012.
  • Article published in the “Tribune de Lyon” journal, December 2022. Une simulation lyonnaise inédite pour réduire le bruit des moteurs d’avions. https://tribunedelyon.fr/sciences-innovation/une-simulation-lyonnaise-inedite-pour reduire-le-bruit-des-moteurs-davions/.