Supersonic jet noise prediction using high-order large-eddy simulation

EXECUTIVE SUMMARY The environmental impact of aviation is measured in emissions and noise. The communities in the vicinity of airports bear the brunt of aircraft noise during takeoffs, climbs, flyovers, approaches, and landings. Research has shown that exposure to loud noise is harmful to human physiological and psychological health and welfare. The research team at the University of Kansas has identified a novel and powerful means of mitigating jet noise by inducing shear layer swirl through embedded vanes near the nozzle exit lip. The team has employed a newly developed high-order (up to sixth order) Navier–Stokes solver capable of handling mixed unstructured meshes to perform computational predictions of the aero-acoustic noise using implicit large-eddy simulations. Blue Waters enables the team to accurately compute the nearand farfield supersonic jet noise. As a result, the research group can perform computational evaluations of a new concept in supersonic jet noise mitigation, which has the potential to significantly reduce the jet noise generated by military aircraft.