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Predicting Landing Gear Noise with Volcano ScaLES
Control of airframe noise has become more critical in the noise reductions for civil aircraft, particularly during landing or take off. Landing gear noise is one of the main contributors to airframe noise. It is mainly caused by flow over complex bluff bodies such as the wheels, struts, leg-doors, etc. This nature of flow and the associated noise is challenging for the analysis and improvement of the aeroacoustic performance of landing gears using Computational Fluid Dynamics (CFD) and Computational Aero-Acoustics (CAA) tools.
A newly developed compressible Navier–Stokes solver based on octree Cartesian grids, Volcano ScaLES, is used for Wall-Modelled Large Eddy Simulations (WMLES) of of a nose landing gear for the aerodynamics and aeroacoustics predictions . The video shows a simulation with 290 million cells performed in one day (100 CTUs) on a desktop computer containing just two Nvidia RTX 4090 GPUs with 24 Gb of memory each. This represents a major breakthrough in LES utilization for aerodynamics and aeroacoustics making "supercomputer-class" calculations routine on readily available resources. Automated, predictive, and cost-effective simulation capability is critical to provide the vast amount of data needed to train AI/ML models for engineering decisions.
https://www.youtube.com/watch?v=Un1HNVRR4rA
#nvh #cfd #airplane
Control of airframe noise has become more critical in the noise reductions for civil aircraft, particularly during landing or take off. Landing gear noise is one of the main contributors to airframe noise. It is mainly caused by flow over complex bluff bodies such as the wheels, struts, leg-doors, etc. This nature of flow and the associated noise is challenging for the analysis and improvement of the aeroacoustic performance of landing gears using Computational Fluid Dynamics (CFD) and Computational Aero-Acoustics (CAA) tools.
A newly developed compressible Navier–Stokes solver based on octree Cartesian grids, Volcano ScaLES, is used for Wall-Modelled Large Eddy Simulations (WMLES) of of a nose landing gear for the aerodynamics and aeroacoustics predictions . The video shows a simulation with 290 million cells performed in one day (100 CTUs) on a desktop computer containing just two Nvidia RTX 4090 GPUs with 24 Gb of memory each. This represents a major breakthrough in LES utilization for aerodynamics and aeroacoustics making "supercomputer-class" calculations routine on readily available resources. Automated, predictive, and cost-effective simulation capability is critical to provide the vast amount of data needed to train AI/ML models for engineering decisions.
https://www.youtube.com/watch?v=Un1HNVRR4rA
#nvh #cfd #airplane
YouTube
Predicting Landing Gear Noise with Volcano ScaLES
Control of airframe noise has become more critical in the noise reductions for civil aircraft, particularly during landing or take off. Landing gear noise is one of the main contributors to airframe noise. It is mainly caused by flow over complex bluff bodies…