Uncertainty-Based Diffraction Using Sound Particle Methods in Noise Control Software

We present the implementation of a 3D "Sound Particle Diffraction" method for indoor noise control software. The method is derived from uncertainty-based diffraction theory and represents a more general procedure than the diffraction techniques traditionally used in geometrical acoustics. A novel solution to the old geometrical problem of convex decomposition in 3D allows us to handle arbitrary geometries while simultaneously accelerating the algorithm. We show how the method can remove unphysical effects seen in mirror-source methods, even if they include detour techniques to approximate diffraction.