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Data · dataset · 2026

Data, code and geometry for "Spectral theory of the aeroacoustic diffraction filter: radiating-wavenumber projection and an exact surface distribution of radiated sound power"

Listed in Teesside University Research Data Repository

Description

This dataset supports the manuscript "Spectral theory of the aeroacoustic diffraction filter: radiating-wavenumber projection and an exact surface distribution of radiated sound power" by S. Sharma and M. Herr (German Aerospace Center, DLR, Institute of Aerodynamics and Flow Technology; submitted to the Journal of Sound and Vibration). The paper concerns how a turbulent flow generates sound on a solid surface: where on the surface the sound originates, and how much power each part radiates.

It builds on the acoustic surface pressure of Delfs and Ruck (J. Sound Vib. 586 (2024) 118490), identifies their diffraction filter as the acoustic double-layer boundary operator, derives an exact surface density of radiated sound power, and gives a criterion for when the filtered pressure reproduces the far field. The results are verified against exact sphere solutions and demonstrated on a lattice-Boltzmann simulation of the SD7003 trailing-edge case.

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The deposit has three parts. Geometry: the SD7003 aerofoil used in the simulation (chord 235 mm, span 400 mm, 8 deg angle of attack) as a closed STL and a 2-D section file, with the script that regenerates them offline from the public UIUC/Selig SD7003 coordinates. Data: the processed arrays behind the figures — per-face surface maps of the wall pressure, the filtered acoustic surface pressure, and the surface power density sigma (band-integrated at 500, 1000 and 2000 Hz); the surface-resolution convergence of the power identity (integral of sigma over the surface equals the radiated power) and of the completeness defect; the far-field directivity on a 1 m ring radiated from the full and from the filtered pressure; and FW-H far-field spectra and directivity (tripped, untripped, and ring).

Spectra are in dB/Hz re 20 uPa. Code: Python post-processing and figure scripts (NumPy, SciPy, Matplotlib) that read the data files and reproduce the figures. The raw lattice-Boltzmann wall-pressure time series is not included because of its size; the processed arrays reproduce every figure that uses simulation data.

The direct-field ring time history needed for the FW-H-versus-direct cross-check is available from the authors on request. Data and geometry are licensed under CC BY 4.0; code under the MIT licence. The SD7003 section originates from the public UIUC/Selig aerofoil database and should be credited to that source when reused.

Please cite the manuscript and this deposit if you use the data.

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Inferred from text
Simulation 75%
Provenance · 1 source records, 7 field assertions
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