High-fidelity Simulations and Predictive Modeling of Jet Screech
Abstract
The noise emitted by hot supersonic jets from propulsion systems of military andcivilian aircraft severely impacts the operational environment near them. Highamplitude noise can cause hearing loss to crew operating from aircraft carrier deckand creates community noise concerns near the bases where such aircraft operate.In addition a particularly severe tonal component of supersonic jet noise, jetscreech, when it occurs, is also responsible for structural fatigue of nozzle andairframe component which can be particularly severe on propulsion systems usingclosely twin engines. As propulsion systems for future military and civilian aircraftare being designed there is a thrust towards closer integration between thepropulsion system and the airframe, and systems involving multiple engines andnozzles are being envisioned. Jet screech and the resonant system acoustics ofmulti-jet plumes are likely to important considerations, besides the loud broadbandnoise of the hot, supersonic, turbulent jet plumes. In recent years computationalsimulations of hot supersonic jets have advanced considerably and shown theirpromise in capturing the turbulent flow dynamics and the resulting supersonic jetacoustics. This technology can now be applied towards a scientific study ofsupersonic jet screech and multi-jet resonance phenomena, and enable thedevelopment of simpler, reduced order models capable of capturing the nonlineardynamics of jet screech. A systematic research plan to achieve this goal is outlined in this proposal which coordinates the proposed computational development with alaboratory study underway at Georgia Tech. with ONR support. It is envisioned thatmany nonlinear phenomena associated with screech dynamics, which have beenrepeatedly observed, but have remained mysterious in terms of a mechanisticunderstanding, will be demystified as data from validated, high-fidelity simulationsare analyzed and simpler models developed using this data.1
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 10, 2018
- Source ID
- N000141812391
Entities
People
- Sanjiva K. Lele
Organizations
- Office of Naval Research
- Stanford University
- United States Navy