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A Multi-Scale Model for Coupling Strands with Shear-Dependent Liquid

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We propose a framework for simulating the complex dynamics of strands interacting with compressible, shear-dependent liquids, such as oil paint, mud, cream, melted chocolate, and pasta sauce. Our framework contains three main components: the strands modeled as discrete rods, the bulk liquid represented as a continuum (material point method), and a reduced-dimensional flow of liquid on the surface of the strands with detailed elastoviscoplastic behavior. These three components are tightly coupled together. To enable discrete strands interacting with continuum-based liquid, we develop models that account for the volume change of the liquid as it passes through strands and the momentum exchange between the strands and the liquid. We also develop an extended constraint-based collision handling method that supports cohesion between strands. Furthermore, we present a principled method to preserve the total momentum of a strand and its surface flow, as well as an analytic plastic flow approach for Herschel-Bulkley fluid that enables stable semi-implicit integration at larger time steps. We explore a series of challenging scenarios, involving splashing, shaking, and agitating the liquid which causes the strands to stick together and become entangled.

keywords

Multi-Scale, Model, Simulation, Liquid, Hair, Strand, Cream, Paint, Sauce, Soba, Noodle, Pasta, Chocolate, Interactions, Visual, Effects, Animal, Fur, Animation, Film, Hollywood, VFX, SIGGRAPH, 2019, Yun Fei, Christopher Batty, Eitan Grinspun, computer graphics, graphics, Raymond, Columbia, Columbia University, computer science

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