Interlinked SPH Pressure Solvers for Strong Fluid-Rigid Coupling

Christoph Gissler, Andreas Peer, Stefan Band, Jan Bender, Matthias Teschner We present a strong fluid-rigid coupling for SPH fluids and rigid bodies with particle-sampled surfaces. The approach interlinks the iterative pressure update at fluid particles with a second SPH solver that computes artificial pressure at rigid body particles. The introduced SPH rigid body solver models […]

An Explicit Structure Preserving numerical scheme for EPDiff

Omri Azencot, Orestis Vantzos and Mirela Ben-Chen We present a new structure-preserving numerical scheme for solving the Euler–Poincaré Differential (EPDiff) equation on arbitrary triangle meshes. Unlike existing techniques, our method solves the difficult non-linear EPDiff equation by constructing energy preserving, yet fully explicit, update rules. Our approach uses standard differential operators on triangle meshes, allowing […]

Real-Time Viscous Thin Films

Orestis Vantzos, Saar Raz and Mirela Ben-Chen We propose a novel discrete scheme for simulating viscous thin films at real-time frame rates. Our scheme is based on a new formulation of the gradient flow approach, that leads to a discretization based on local stencils that are easily computable on the GPU. Our approach has physical […]

Editing Fluid Animation Using Flow Interpolation

Syuhei Sato, Yoshinori Dobashi, Tomoyuki Nishita The computational cost for creating realistic fluid animations by numerical simulation is generally expensive. In digital production environments, existing precomputed fluid animations are often reused for different scenes in order to reduce the cost of creating scenes containing fluids. However, applying the same animation to different scenes often produces unacceptable […]

Hybrid Grains: Adaptive Coupling of Discrete and Continuum Simulations of Granular Media

Yonghao Yue*, Breannan Smith*, Peter Yichen Chen*, Maytee Chantharayukhonthorn*, Ken Kamrin, Eitan Grinspun We propose a technique to simulate granular materials that exploits the dual strengths of discrete and continuum treatments. Discrete element simulations provide unmatched levels of detail and generality, but prove excessively costly when applied to large scale systems. Continuum approaches are computationally […]

GPU Optimization of Material Point Methods

Ming Gao*, Xinlei Wang*, Kui Wu*, Andre Pradhana, Eftychios Sifakis, Cem Yuksel, Chenfanfu Jiang The Material Point Method (MPM) has been shown to facilitate effective simulations of physically complex and topologically challenging materials, with a wealth of emerging applications in computational engineering and visual computing. Borne out of the extreme importance of regularity, MPM is […]

Distributing and Load Balancing Sparse Fluid Simulations

Chinmayee Shah, David Hyde, Hang Qu, and Philip Levis This paper describes a general algorithm and a system for load balancing sparse fluid simulations. Automatically distributing sparse fluid simulations efficiently is challenging because the computational load varies across the simulation domain and time. A key challenge with load balancing is that optimal decision making requires […]

An Extended Partitioned Method for Conservative Solid-Fluid Coupling

Muzaffer Akbay, Nicholas Nobles, Victor Zoran, Tamar Shinar We present a novel extended partitioned method for two-way solid-fluid coupling, where the fluid and solid solvers are treated as black boxes with limited exposed interfaces, facilitating modularity and code reusability. Our method achieves improved stability and extended range of applicability over standard partitioned approaches through three […]

A Temporally Adaptive Material Point Method with Regional Time Stepping

Yu Fang, Yuanming Hu, Shi-Min Hu, Chenfanfu Jiang Spatially and temporally adaptive algorithms can substantially improve the computational efficiency of many numerical schemes in computational mechanics and physics-based animation. Recently, a crucial need for temporal adaptivity in the Material Point Method (MPM) is emerging due to the potentially substantial variation of material stiffness and velocities in […]

Coupled Fluid Density and Motion from Single Views

Marie-Lena Eckert, Wolfgang Heidrich, Nils Thuerey We present a novel method to reconstruct a fluid’s 3D density and motion based on just a single sequence of images. This is rendered possible by using powerful physical priors for this strongly under-determined problem. More specifically, we propose a novel strategy to infer density updates strongly coupled to […]