Mach-number dependence of acoustic source properties in high speed jets - Part II: Event-based description

Pinqing Kan, Jacques Lewalle, Sivaram P. Gogineni

Research output: Chapter in Book/Entry/PoemConference contribution


For jet noise at three Mach numbers, we isolate and document properties of acoustic events. Pattern recognition in the time-frequency domain isolates events common to far-field acoustic data and near-field signals obtained from time-resolved PIV. From the signals treated in Part I, we identify the excerpts that contribute most to the cross-correlations. The time-frequency decomposition is achieved with continuous wavelet transforms. We identify far-field events (MM) responsible for the cross-correlation between microphones, and DM events that account for the cross-correlation between the kinematic diagnostics and one microphone. MM and DM events are intermittent in time and frequency. The lists of MM and DM events, including time of occurrence, frequency and magnitude, are compared for nine sets of data featuring three different Mach numbers and different window locations. We match the events individually (near-and far-field excerpts) and document some of their collective properties.

Original languageEnglish (US)
Title of host publication52nd Aerospace Sciences Meeting
PublisherAmerican Institute of Aeronautics and Astronautics Inc.
ISBN (Print)9781624102561
StatePublished - 2014
Event52nd Aerospace Sciences Meeting 2014 - National Harbor, United States
Duration: Jan 13 2014Jan 17 2014


Other52nd Aerospace Sciences Meeting 2014
Country/TerritoryUnited States
CityNational Harbor

ASJC Scopus subject areas

  • Aerospace Engineering


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