Evaluation of the RPM-CN approach for broadband combustion noise prediction

The derivation and validation of a broadband combustion noise model is presented. The applied RPM-CN approach, a hybrid CFD/CAA approach relies on the stochastic reconstruction of combustion noise sources in the time domain. The stochastic reconstruction is conducted by the RPM method out of statistical turbulence quantities which can be delivered by a reacting RANS simulation. In the present work, the modeled combustion noise sources are derived for the use in conjunction with the LEE for the computation of the acoustic propagation. The DLR-A and the DLR-B ames, both non-premixed open jet ames which dierentiate in the fuel outlet velocity and the respective Reynolds number, are used for the validation of the RPM-CN approach. Results of the reacting ow computations and the subsequent acoustic predictions are compared to measurements and discussed. The reliability and accuracy of the RPM-CN approach will be demonstrated by a good agreement of the computed sound pressure level spectra with the experimental data.

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