Direct Combustion Noise Simulation of a Lean Premixed Swirl Flame using Stochastic Sound Sources

摘要: A lean, swirl-stabilized gas turbine model combustor is simulated with a stochastic approach for combustion noise prediction. The employed hybrid and particle based method, FRPM-CN (Fast Random Particle Method Combustion Noise Prediction) reconstructs temperature variance direct sources from local CFD-RANS turbulence flow field statistics. Those monopole sound are used as right hand side forcing of the Linearized Euler Equations. First, findings steady state CFD simulations validated experimental results. It shown that RANS models accurately reproduce combustion. Turbulence treated two equation global reaction mechanism utilized Subsequently, specifications CCA (Computational Acoustics) setup introduced selected pressure spectra acoustics compared to results, showing able deliver absolute levels investigated burner at low computational costs.