2013
DOI: 10.1145/2461912.2461948
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A material point method for snow simulation

Abstract: Snow is a challenging natural phenomenon to visually simulate. While the graphics community has previously considered accumulation and rendering of snow, animation of snow dynamics has not been fully addressed. Additionally, existing techniques for solids and fluids have difficulty producing convincing snow results. Specifically, wet or dense snow that has both solid- and fluid-like properties is difficult to handle. Consequently, this paper presents a novel snow… Show more

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Cited by 363 publications
(373 citation statements)
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“…It was later introduced to computer graphics by Stomakhin et al (2013) with their work on snow. Ram et al (2015) and Yue et al (2015) modified their method to simulate viscoplastic materials like foam.…”
Section: Related Workmentioning
confidence: 99%
See 2 more Smart Citations
“…It was later introduced to computer graphics by Stomakhin et al (2013) with their work on snow. Ram et al (2015) and Yue et al (2015) modified their method to simulate viscoplastic materials like foam.…”
Section: Related Workmentioning
confidence: 99%
“…1. We follow closely the implementation by Stomakhin et al (2013), with the exception that we use an explicit time step integration scheme to simplify the grid update.…”
Section: Multi-body Solver For Mpmmentioning
confidence: 99%
See 1 more Smart Citation
“…Stomakin et al [12] used MPM for simulating snow, and introduced a novel MPM method for heat transport, melting and solidifying materials [13]. Jiang et al [7] tuned the model in [12] to simulate granular materials.…”
Section: Mpm Simulationmentioning
confidence: 99%
“…Stomakin et al [12] used MPM for simulating snow, and introduced a novel MPM method for heat transport, melting and solidifying materials [13]. Jiang et al [7] tuned the model in [12] to simulate granular materials. Later Klár et al [8] introduced the Drucker-Prager plastic flow model into MPM to simulate sand dynamics, and Daviet et al [5] presented a semi-implicit scheme for granular materials.…”
Section: Mpm Simulationmentioning
confidence: 99%