Contribution
Lecture cancelled: Prediction of interior and exterior noise excitations: Fast non-empirical stochastic methods for aircraft surface pressure fluctuations
* Presenting author
Abstract:
Surface pressure fluctuations on an aircraft fuselage are largely influenced by radiated jet noise near the fuselage, direct turbulent boundary layer excitations, and engine fan noise. The SYNTRAC research project explores various propulsor configurations, e.g rear fuselage and V-tail pylon mounts, excluding conventional under-wing engines. Computational aeroacoustics (CAA) helps in assessing noise impacts during the design phase using scale-resolving wall-modeled LES methods to evaluate cabin noise.However, full-scale simulations remain too computationally intensive for optimization cycles. This study focuses on hybrid CAA methods, specifically the Fast Random Particle-Mesh method (FRPM), which predicts noise impacts efficiently [1]. FRPM synthesizes turbulent noise sources, including jet noise based on the Tam & Auriault model, showing effective surface pressure modeling [2,3].In collaboration with Airbus, DLR’s UHBR2NOISE project employed the FRPM method to simulate boundary layer noise on non-cylindrical fuselage areas. Synthetic turbulence, based on RANS data, provides realistic velocity fluctuations that drive fuselage vibro-acoustic excitation. Transient surface pressures are derived at each time step by solving a Poisson problem, enhancing accuracy in cockpit and high-pressure gradient areas. Expanded FRPM modeling now better captures spatial anisotropy effects across the fuselage.