Toward Animating Water with Complex Acoustic Bubbles
ACM SIGGRAPH 2016
Abstract
This paper explores methods for synthesizing physics-based bubble sounds directly from
two-phase incompressible simulations of bubbly water flows. By tracking fluid-air
interface geometry, we identify bubble geometry and topological changes due to
splitting, merging and popping. A novel capacitance-based method is proposed that can
estimate volume-mode bubble frequency changes due to bubble size, shape, and proximity
to solid and air interfaces. Our acoustic transfer model is able to capture cavity
resonance effects due to near-field geometry, and we also propose a fast precomputed
bubble-plane model for cheap transfer evaluation. In addition, we consider a
bubble forcing model that better accounts for bubble entrainment, splitting, and merging events, as well as a
Helmholtz resonator model for bubble popping sounds. To overcome frequency bandwidth
limitations associated with coarse resolution fluid grids, we simulate micro-bubbles in
the audio domain using a power-law model of bubble populations. Finally, we present
several detailed examples of audiovisual water simulations and physical
experiments to validate our frequency model.
Links
- Paper (25M)
- Supplemental Video [high quality (213M)]
- Uncompressed Audio [WAV (151M)]
Citation
Timothy R. Langlois, Changxi Zheng, and Doug L. James. Toward Animating Water with Complex Acoustic Bubbles.
ACM Transactions on Graphics (SIGGRAPH 2016). 35(4), July, 2016.
Video
Code and Model Data
Interactive bubble example: bubbleDemo.py
This is a simple script to demonstrate the frequency shift experienced by bubbles. It uses an infinite plane approximation.
It requires python3, the python packages simpleaudio and wavefile, and the library libsndfile (required by wavefile).
Acknowledgements
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