Hybrid Acoustic Modeling: Far-Field Predictions from Scanning 3D Sound Intensity Data
ABSTRACT
This research introduces a novel methodology for predicting the far-field acoustic behavior of complex vibro-acoustic sources, utilizing sound intensity data acquired through Scan&Paint 3D. Combining this experimental dataset with the computational modeling capabilities of the commercial acoustic package Actran, we establish a hybrid method capable of accurately computing noise generated by intricate vibro-acoustic phenomena.
Using a 3D sound intensity probe, combined with an infrared stereo camera, accelerates the acquisition of acoustic data across an extensive area. This approach delivers detailed insights into the source's near-field acoustic behavior and provides inputs for the computational model, allowing us to model how the vibrating structure radiates. Extensive validation is performed by calculating prediction errors across multiple observation points, ensuring high-quality far-field predictions. Integrating extensive experimental data with advanced computational modeling marks a significant leap forward in evaluating the far-field impact of complex acoustic sources. This allows the industrial user to assess the performance
CITATION
Orselli, J., Robin, X., Jacqmot, J., Comesaña, D.F., Schmal, J., (2024). Hybrid acoustic modeling: Far-field predictions from scanning 3D sound intensity data. In Proceedings of Inter.Noise, Nantes, France.