Location
Utah Valley University Sorensen Center
Start Date
5-9-2016 9:27 AM
End Date
5-9-2016 9:39 AM
Description
Over the past decade, beamforming in aeroacoustics applications have undergone significant advances. Cross beamforming methods improve upon traditional beamforming in that they relax the assumption of multiple-source incoherence. This paper compares the abilities of three cross beamforming methods to reproduce source and field characteristics for an extended, partially correlated source that mimics supersonic jet noise radiation. Standard cross beamforming and two related methods that involve regularization—the hybrid method and improved generalized inverse beamforming—are applied to a numerically generated dataset along a near-field line. Estimated levels and coherence lengths are compared with benchmarks at the source as well as near and far-field locations. All three methods are successful in reproducing the field and source properties in high-amplitude regions. Although regularization generally helps to improve both source and field reconstructions, results are sensitive to regularization parameters, particularly for the generalized inverse method. The successful application of the three methods demonstrate the utility of cross-beamforming in formulating equivalent source models for accurate field prediction of complex sources, including jet noise.
Application of Beamforming Methods to Full-Scale Military Jet Noise
Utah Valley University Sorensen Center
Over the past decade, beamforming in aeroacoustics applications have undergone significant advances. Cross beamforming methods improve upon traditional beamforming in that they relax the assumption of multiple-source incoherence. This paper compares the abilities of three cross beamforming methods to reproduce source and field characteristics for an extended, partially correlated source that mimics supersonic jet noise radiation. Standard cross beamforming and two related methods that involve regularization—the hybrid method and improved generalized inverse beamforming—are applied to a numerically generated dataset along a near-field line. Estimated levels and coherence lengths are compared with benchmarks at the source as well as near and far-field locations. All three methods are successful in reproducing the field and source properties in high-amplitude regions. Although regularization generally helps to improve both source and field reconstructions, results are sensitive to regularization parameters, particularly for the generalized inverse method. The successful application of the three methods demonstrate the utility of cross-beamforming in formulating equivalent source models for accurate field prediction of complex sources, including jet noise.