Forum Acusticum 2026

Session

A21.06 Aircraft noise

A21.06

11 Sept 2026, 14:20

Conveners

A21.06 Aircraft noise: S156

• Vincent Clair (LMFA - Ecole centrale de Lyon)
• Michael Quaglia

4645. New Formulation of the exact Green’s Function for the Diffraction Field around a Rigid Wedge for efficient Calculations (FA2026/719)

Petros Nikolaou (University of Patras)

11/09/2026, 14:20

A21 Transportation Noise and Vibration

Green’s functions for edge diffraction are often used in analytical modeling of installed jet-noise or trailing edge noise. A new formulation of the exact Green’s function for the problem of diffraction of a point source by a rigid wedge of infinite and finite length is derived. The derivation is based on a variable change in the diffraction integral of the exact Green’s function. The...

4646. Analytical Investigation of Sound Diffraction by Straight and serrated Trailing Edges (FA2026/718)

Nafsika Papantonopoulou (University of Patras)

11/09/2026, 14:40

A21 Transportation Noise and Vibration

This work investigates the sound field produced when a point source interacts with the trailing edge of an airfoil, modeled as a half-plane. A newly presented Green’s function for sound diffraction by infinitely long and finite-length diffracting edges is employed. First, it is shown that the diffracted field dominates the total sound field, when the source is on the airfoil surface or very...

4647. Structure-Borne Sound of an Electrified Powertrain - Identification of Load Condition-Based Local Maxima (FA2026/259)

Lewin Weber-Karpinski (DLR Institute of Electr. Aero-Engines)

11/09/2026, 15:00

A21 Transportation Noise and Vibration

The European Union is aiming for significant greenhouse gas reductions in aviation by 2050. In the course of this, electrified drive concepts are also becoming increasingly important, resulting in new challenges with regard to the noise emission of electric machines. In order to gain a better understanding of the generation of noise, a coupled drive train consisting of two permanent magnet...

4648. Estimation of Flight and Geometry Parameters for low-Boom Aircraft Design using the Unscented Kalman Filter (FA2026/717)

Ioanna Anagnostaki (University of Patras)

11/09/2026, 15:20

A21 Transportation Noise and Vibration

In this work the flight characteristics and aircraft geometry required to produce a certain sonic boom signature are estimated using the Unscented Kalman filter (UKF). The Kalman filter is an algorithm that estimates state spaces by combining model predictions and observational data. The UKF extends the Kalman filter to nonlinear systems. Instead of linearizing the system, it uses sampling...

4649. Autonomous Aircraft Noise Recording: Developing Datasets for Machine Learning (FA2026/4)

Gary Isherwood (University of Sussex)

11/09/2026, 15:40

A21 Transportation Noise and Vibration

The advancement of deep learning in environmentalacoustics is hindered by a lack of high-fidelity, labelleddatasets. While aircraft noise is a major environmental concern, collecting annotated data at scaleremains a logistical hurdle; attended measurementslack volume and permanent monitors lack geographicdiversity. This paper presents an autonomous aircraft noise recording station that...