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Syntheses of aircraft noise obtained by computational methods

<p>In ANIMA WP4, where focus is put on toolset development, a benchmark on three partners&rsquo; auralization tools was performed.</p> <p>These tools are used to reproduce the sound of an aircraft flyover from either physical modelling of noise, a prediction based on measurement or a combination of both. As the chosen methodologies and the modelling hypotheses are different between partners, a benchmark was performed to assess the impact of these strategies on the produced sound synthesis.</p> <p>The realism of each auralization was evaluated through comparison to experimental recordings. For propriety reasons, only the synthesized sounds are available here, and can be compared between each other.</p> <p>Two of the three tools were further used in the WP3 task dedicated to Virtual Reality, see &quot;<a href="https://doi.org/10.5281/zenodo.5517218">Virtual reality simulated aircraft flyovers: Influence of the landscape on the overall pleasantness of the environment</a>&quot;</p> <p>The sounds represent three flight configurations, one landing, and two take-offs with different engine speeds. Two aircraft are considered, one single-aisle and one double-aisle aircraft. The synthesis is performed at a receiver position below the aircraft trajectory.</p> <p>For more information, please contact:</p> <ul> <li><a href="mailto:Ingrid.legriffon@onera.fr">Ingrid.legriffon@onera.fr</a> (ONERA)</li> <li><a href="mailto:isabelle.boullet@airbus.com">isabelle.boullet@airbus.com</a> (Airbus Aviation)</li> <li><a href="mailto:jean-michel.boiteux@safrangroup.com">jean-michel.boiteux@safrangroup.com</a> (Safran Aircraft Engine)</li> </ul> <p>&nbsp;</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

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