5,241 research outputs found

    A practical method for animating anisotropic elastoplastic materials

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    This paper introduces a simple method for simulating highly anisotropic elastoplastic material behaviors like the dissolution of fibrous phenomena (splintering wood, shredding bales of hay) and materials composed of large numbers of irregularlyā€shaped bodies (piles of twigs, pencils, or cards). We introduce a simple transformation of the anisotropic problem into an equivalent isotropic one, and we solve this new ā€œfictitiousā€ isotropic problem using an existing simulator based on the material point method. Our approach results in minimal changes to existing simulators, and it allows us to reā€use popular isotropic plasticity models like the Druckerā€Prager yield criterion instead of inventing new anisotropic plasticity models for every phenomenon we wish to simulate

    Animating Interview Narratives

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    This chapter discusses the implications of viewing the interview as an actively constructed conversation through which narrative data are produced. It explores the ramifications of framing the interview and resulting data as by-products of interpretive practice - the whats and hows of an animated process involving active subjects behind interview participants. Matters of reliability, validity, bias, and rigor are considered

    GETTING SANDY: CREATING COLLAPSING SAND EFFECTS FOR \u3ci\u3eAN ODE TO LOVE\u3c/i\u3e

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    This thesis presents an artistic approach of creating collapsing sand effects in Brown Bag Films\u27 animated short, An Ode To Love, directed by Matthew Darragh. A combination of rigid body simulation and fluid simulation tools, which are available in Houdini 3D animation software version 13, was used to successfully complete the task. A detailed design and implementation process to achieve the effects is documented in this work

    Environmental FX for Multiple Productions

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    This thesis presents methods for creating visually interesting environmental visual eļ¬€ects using Houdini. Four diļ¬€erent types of environmental eļ¬€ects are shown: Dust trails, Waterfall mist, Snow, and Underwater dust. Each of these eļ¬€ects emulate real world phenomena, but also have the ability to be artistically driven to ļ¬t the visual artistā€™s need

    A Unified Particle System Framework for Multi-Phase, Multi-Material Visual Simulations

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    We introduce a unified particle framework which integrates the phase-field method with multi-material simulation to allow modeling of both liquids and solids, as well as phase transitions between them. A simple elasto-plastic model is used to capture the behavior of various kinds of solids, including deformable bodies, granular materials, and cohesive soils. States of matter or phases, particularly liquids and solids, are modeled using the non-conservative Allen-Cahn equation. In contrast, materials---made of different substances---are advected by the conservative Cahn-Hilliard equation. The distributions of phases and materials are represented by a phase variable and a concentration variable, respectively, allowing us to represent commonly observed fluid-solid interactions. Our multi-phase, multi-material system is governed by a unified Helmholtz free energy density. This framework provides the first method in computer graphics capable of modeling a continuous interface between phases. It is versatile and can be readily used in many scenarios that are challenging to simulate. Examples are provided to demonstrate the capabilities and effectiveness of this approach

    A Divergenceā€free Mixture Model for Multiphase Fluids

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    We present a novel divergence free mixture model for multiphase flows and the related fluid-solid coupling. The new mixture model is built upon a volume-weighted mixture velocity so that the divergence free condition is satisfied for miscible and immiscible multiphase fluids. The proposed mixture velocity can be solved efficiently by adapted single phase incompressible solvers, allowing for larger time steps and smaller volume deviations. Besides, the drift velocity formulation is corrected to ensure mass conservation during the simulation. The new approach increases the accuracy of multiphase fluid simulation by several orders. The capability of the new divergence-free mixture model is demonstrated by simulating different multiphase flow phenomena including mixing and unmixing of multiple fluids, fluid-solid coupling involving deformable solids and granular materials

    Multiphase SPH simulation for interactive fluids and solids

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    This work extends existing multiphase-fluid SPH frameworks to cover solid phases, including deformable bodies and granular materials. In our extended multiphase SPH framework, the distribution and shapes of all phases, both fluids and solids, are uniformly represented by their volume fraction functions. The dynamics of the multiphase system is governed by conservation of mass and momentum within different phases. The behavior of individual phases and the interactions between them are represented by corresponding constitutive laws, which are functions of the volume fraction fields and the velocity fields. Our generalized multiphase SPH framework does not require separate equations for specific phases or tedious interface tracking. As the distribution, shape and motion of each phase is represented and resolved in the same way, the proposed approach is robust, efficient and easy to implement. Various simulation results are presented to demonstrate the capabilities of our new multiphase SPH framework, including deformable bodies, granular materials, interaction between multiple fluids and deformable solids, flow in porous media, and dissolution of deformable solids

    A moving least square reproducing kernel particle method for unified multiphase continuum simulation

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    In physically based-based animation, pure particle methods are popular due to their simple data structure, easy implementation, and convenient parallelization. As a pure particle-based method and using Galerkin discretization, the Moving Least Square Reproducing Kernel Method (MLSRK) was developed in engineering computation as a general numerical tool for solving PDEs. The basic idea of Moving Least Square (MLS) has also been used in computer graphics to estimate deformation gradient for deformable solids. Based on these previous studies, we propose a multiphase MLSRK framework that animates complex and coupled fluids and solids in a unified manner. Specifically, we use the Cauchy momentum equation and phase field model to uniformly capture the momentum balance and phase evolution/interaction in a multiphase system, and systematically formulate the MLSRK discretization to support general multiphase constitutive models. A series of animation examples are presented to demonstrate the performance of our new multiphase MLSRK framework, including hyperelastic, elastoplastic, viscous, fracturing and multiphase coupling behaviours etc
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