High-Resolution GPU-Accelerated Numerical Simulations of Supersonic Impinging Jet Noise using Gradient Based Reconstruction
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Impinging supersonic jets are associated with aircraft and spacecraft that feature Vertical Take-Off and Landing (VTOL). Mason et al. \cite{Ref1} experimentally observed that impingement tones can be significantly altered by a change in the impinging surface geometry. However, their experiments were limited to cylindrical impinging surfaces with single wall curvature. To complement and extend their study, we set out to perform a parametric study on the same configuration by varying the impinging wall curvature ($R/D$), jet stand off distance ($L/D$), and jet Mach number ($M_j$). The influence of each of these parameters on flow physics, unsteadiness, and near-field Sound Pressure Levels (SPLs) will be explored through high-fidelity numerics. Our approach features an in-house structured grid solver which uses a high-resolution fourth order implicit gradient based discretization scheme - MIG4 \cite{Ref2} and multi-GPU acceleration. Ultimately, we aim to extract empirical scaling laws by considering a wide-range of parameters.