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Physically based models for liquids
spherical bubble model, no fluid simulator coupling
Grid based methods
bubbles can be smaller, slow, can be two-phase, spherical and non-spherical bubbles
Shallow water equations
simulate water surface, no breaking waves, real time, one phase, bubbles from distribution
Non spherical bubbles
decompose into spherical harmonics
Efficient numerical acoustic simulations
novel technique based on 3D adaptive regular decomposition, 100x faster than Finite Difference Time Domain and 10x less memory
Source of speedup
modal analysis of rectangular spaced and GPU
SOTA room acoustics
geometric techniques combined with explicit diffraction modeling, auralization software with hybrid image
Geometric approaches to acoustics
bean tracing, phonon tracing, frustum tracing
Advantages of geometric approaches
efficient and easy to understand
Difficulties of geometric approaches
diffraction and scattering, high-order reflections
Numerical acoustics
discretize and solve wave equation on a grid, slow and memory
Creative EAX
pre-baked reverb filters assigned manually to different parts of a map
Adaptive rectangular decomposition
numerical simulation of the wave equation, rectangular decomposition of a 3D scene, 6th order finite difference for interface transmission
Solution on a rectangular domain
modal analysis can be done analytically for a 3D rectangular space of size (lx, ly, lz) and perfectly reflective boundary
3D Discrete Cosine Transform
solution of Wave Equation within each rectangle computed using FFT on GPU
Limitations of techniques
staircasing errors near boundary, doesn’t handle frequency dependent absorption
Impulse response
how reflected sound is perceived, direct approach is costly
Computational challenges for acoustics
need sufficient spatial resolution to resolve smallest wavelength of interest, sufficiently small time
Finite Difference Time Domain
works on a uniform Cartesian grid, pressure sampled at cell centers
Interference
the resultant pressure at P due to two waves is their sum