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Volume preserving viscoelastic fluids with large deformations using position-based velocity corrections

机译:使用基于位置的速度校正来保持体积大变形的粘弹性流体

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We propose a particle-based hybrid method for simulating volume preserving viscoelastic fluids with large deformations. Our method combines smoothed particle hydrodynamics (SPH) and position-based dynamics (PBD) to approximate the dynamics of viscoelastic fluids. While preserving their volumes using SPH, we exploit an idea of PBD and correct particle velocities for viscoelastic effects not to negatively affect volume preservation of materials. To correct particle velocities and simulate viscoelastic fluids, we use connections between particles which are adaptively generated and deleted based on the positional relations of the particles. Additionally, we weaken the effect of velocity corrections to address plastic deformations of materials. For one-way and two-way fluid-solid coupling, we incorporate solid boundary particles into our algorithm. Several examples demonstrate that our hybrid method can sufficiently preserve fluid volumes and robustly and plausibly generate a variety of viscoelastic behaviors, such as splitting and merging, large deformations, and Barus effect.
机译:我们提出了一种基于粒子的混合方法来模拟具有大变形的体积保持粘弹性流体。我们的方法结合了平滑粒子流体动力学(SPH)和基于位置的动力学(PBD)来近似粘弹性流体的动力学。在使用SPH保留其体积的同时,我们采用了PBD的思想并校正了粘弹性效应的粒子速度,而不会对材料的体积保留产生负面影响。为了校正粒子速度并模拟粘弹性流体,我们使用了粒子之间的连接,这些连接根据粒子的位置关系自动生成和删除。此外,我们减弱了速度校正的作用,以解决材料的塑性变形。对于单向和双向流固耦合,我们将固体边界粒子合并到我们的算法中。几个例子表明,我们的混合方法可以充分保留流体体积,并可靠且合理地生成各种粘弹性行为,例如分裂和合并,大变形和Barus效应。

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