Power Plastics: A Hybrid Lagrangian/Eulerian Solver for Mesoscale Inelastic Flows

Ziyin Qu, Minchen Li, Yin Yang, Chenfanfu Jiang, Fernando de Goes
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Abstract

We present a novel hybrid Lagrangian/Eulerian method for simulating inelastic flows that generates high-quality particle distributions with adaptive volumes. At its core, our approach integrates an updated Lagrangian time discretization of continuum mechanics with the Power Particle-In-Cell geometric representation of deformable materials. As a result, we obtain material points described by optimized density kernels that precisely track the varying particle volumes both spatially and temporally. For efficient CFL-rate simulations, we also propose an implicit time integration for our system using a non-linear Gauss-Seidel solver inspired by X-PBD, viewing Eulerian nodal velocities as primal variables. We demonstrate the versatility of our method with simulations of mesoscale bubbles, sands, liquid, and foams.
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动力塑料:中尺度非弹性流动的拉格朗日/欧勒混合求解器
我们提出了一种新的拉格朗日/欧拉混合方法来模拟非弹性流动,该方法可以产生具有自适应体积的高质量颗粒分布。在其核心,我们的方法集成了连续介质力学的更新拉格朗日时间离散化与可变形材料的功率颗粒-细胞几何表示。因此,我们获得了由优化的密度核描述的材料点,该密度核精确地跟踪了空间和时间上变化的颗粒体积。为了高效的节电率模拟,我们还提出了一个隐式时间积分系统,使用受X-PBD启发的非线性高斯-赛德尔求解器,将欧拉节点速度视为原始变量。我们通过模拟中尺度气泡、沙子、液体和泡沫来证明我们方法的多功能性。
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