Partial-field decomposition analysis of full-scale supersonic jet noise using optimized-location virtual references

Area of Science:

• Acoustics
• Fluid Dynamics
• Aerospace Engineering

Background:

• Supersonic jet noise reduction is crucial for aerospace applications.
• Effective noise reduction requires precise source feature extraction and acoustic imaging.
• Partial field decomposition offers a method for analyzing complex aeroacoustic sources.

Purpose of the Study:

• To apply the optimized-location virtual reference method (OLVR) for supersonic jet noise analysis.
• To extract spatially distinct and ordered partial sources from a full-scale jet engine.
• To demonstrate the utility of OLVR in developing reduced-order aeroacoustic models.

Main Methods:

• Utilized the optimized-location virtual reference method (OLVR) for partial field decomposition.
• Applied OLVR to a full-scale, high-performance supersonic jet engine at 100% power.
• Analyzed spatially distinct and ordered partial sources across multiple frequencies.
• Fitted an analytical multiwavepacket model to the extracted partial sources.

Main Results:

• OLVR successfully extracted partial sources that mimic total source behaviors.
• Multiple partial sources were necessary to reproduce far-field radiation, especially at higher frequencies.
• The number of required partial sources increased with frequency due to finite spatial coherence.
• Demonstrated the potential for creating reduced-order models from OLVR-derived partial fields.

Conclusions:

• The OLVR method provides physically meaningful source and field information for supersonic jets.
• Partial source decomposition aids in understanding and mitigating jet noise.
• OLVR facilitates the development of reduced-order models for aeroacoustic applications.