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João Fatela¹, Anne Heimes², Michael Vorländer²

¹Department of Architecture and Industrial Design, University of Campania "Luigi Vanvitelli," 81031 Aversa, Caserta, Italy.

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Summary

This study compares two sound scattering models in virtual acoustics. Bidirectional scattering models better capture spatial details than random incidence models for complex surfaces.

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Area of Science:

Acoustics
Computational physics
Virtual environment simulation

Background:

Geometrical acoustics methods efficiently estimate sound propagation in virtual spaces.
Acoustic radiance transfer principles and bidirectional reflectance distribution functions (BRDF) enable complex scattering simulations.
Optimization of these methods is ongoing, but the impact of complex BRDF implementation remains understudied.

Purpose of the Study:

To compare two distinct scattering distribution modeling approaches: random incidence and bidirectional scattering coefficients.
To evaluate their implementation within an acoustic radiosity (AR) simulation tool.
To assess the impact of scattering model choice on simulation accuracy and computational performance.

Main Methods:

Implementation of random incidence and bidirectional scattering coefficient models in an acoustic radiosity (AR) simulation tool.
Simulation of a single façade and a street canyon scene.
Comparison of AR simulations with state-of-the-art ray-tracing (RT) and wave-based simulations.
Assessment of computational performance metrics.

Main Results:

Random-incidence modeling in AR simulations aligns with RT simulations for simple surfaces.
Bidirectional scattering models more accurately represent retro-reflective surfaces compared to wave-based simulations, capturing finer spatial scattering details.
Significant differences in energy time curves were observed between the two scattering models in street canyon simulations.
Minor artifacts were noted in both AR and RT implementations.

Conclusions:

The choice of scattering model significantly impacts the accuracy of virtual acoustics simulations, particularly for complex surfaces and environments.
Bidirectional scattering models offer superior spatial detail representation compared to random incidence models.
Further research is needed to refine AR and RT implementations and fully understand computational trade-offs.