The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Position based fluids
Abstract
In fluid simulation, enforcing incompressibility is crucial for realism; it is also computationally expensive. Recent work has improved efficiency, but still requires time-steps that are impractical for real-time applications. In this work we present an iterative density solver integrated into the Position Based Dynamics framework (PBD). By formulating and solving a set of positional constraints that enforce constant density, our method allows similar incompressibility and convergence to modern smoothed particle hydro-dynamic (SPH) solvers, but inherits the stability of the geometric, position based dynamics method, allowing large time steps suitable for real-time applications. We incorporate an artificial pressure term that improves particle distribution, creates surface tension, and lowers the neighborhood requirements of traditional SPH. Finally, we address the issue of energy loss by applying vorticity confinement as a velocity post process.
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Cites
Predictive-corrective incompressible SPH
Solenthaler, B., & Pajarola, R. (2009) · ACM Transactions on Graphics · doi:10.1145/1531326.1531346 · Cited by 362
Cited by
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation
Lin, X., Wang, Y., Olkin, J., & Held, D. (2020) · arXiv · doi:10.48550/arxiv.2011.07215 · Cited by 140
Metadata
- Authors
- Macklin, M., & Müller, M.
- Venue
- ACM Transactions on Graphics
- Published
- 2013-07-21
- Volume
- 32
- Issue
- 4
- Pages
- 1-12
- ISSN
- 0730-0301 (ISSN-L)
- 1557-7368
- OpenAlex
- W2115513040
- Cited by
- 416
- References
- 1
- FWCI
- 88.84
- Type
- journal article
- Language
- en
- Open access
- closed
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