03.1 - Aerodynamics – CFD Methods and Validation
JET NOISE ABATEMENT VIA SURROGATE MODEL-BASED AEROACOUSTIC OPTIMISATION USING LARGE EDDY SIMULATION
G. Yang, University of Bristol, United Kingdom
This paper presents a surrogate model-based aeroacoustic optimisation framework that is developed and applied to jet nozzle exit geometries. The optimisation package is wrapped around a LES flow solver that is implemented on GPUs, enabling highly efficient CFD and acoustic solutions and thus shape optimisations. Noise reductions are achieved for isolated chevron nozzle geometries.