Consistent surface model for SPH-based fluid transport

Figure 1: The boundary particles (red) detected by our method in a cutaway view of a dam break with Bunny as obstacle. AbstractThis paper presents a novel method to detect free-surfaces on particle-based volume representation. In contrast to most particlebased free-surface detection methods, which perform the surface identification based on physical and geometrical properties derived from the underlying fluid flow simulation, the proposed approach only demands the spatial location of the particles to properly recognize surface particles, avoiding even the use of kernels. Boundary particles are identified through a Hidden Point Removal (HPR) operator used for visibility test. Our method is very simple, fast, easy to implement and robust to changes in the distribution of particles, even when facing large deformation of the free-surface. A set of comparisons against state-of-the-art boundary detection methods show the effectiveness of our approach. The good performance of our method is also attested in the context of fluid flow simulation involving free-surface, mainly when using level-sets for rendering purposes.

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Boundary Detection in Particle‐based Fluids

Sandim¹,

Cedrim²,

Nonato³

et al. 2016

“…Additionally, chemical reactions and surface diffusion can be applied which result in additional concentration changes over time as described in [OHB*13].…”

Section: Advective‐diffusive Fluxes In Sphmentioning

confidence: 99%

Vector Field Visualization of Advective‐Diffusive Flows

Hochstetter

Wurm

Kolb

2015

We propose a framework for unified visualization of advective and diffusive concentration fluxes, which play a key role in many phenomena like, e.g. Marangoni convection and microscopic mixing. The main idea is the decomposition of fluxes into their concentration and velocity parts. Using this flux decomposition, we are able to convey advective-diffusive concentration transport using integral lines. In order to visualize superimposed flux effects, we introduce a new graphical metaphor, the stream feather, which adds extensions to stream tubes pointing in the directions of deviating fluxes. The resulting unified visualization of macroscopic advection and microscopic diffusion allows for deeper insight into complex flow scenarios that cannot be achieved with current volume and surface rendering techniques alone. Our approach for flux decomposition and visualization of advective-diffusive flows can be applied to any kind of (simulation) data if velocity and concentration data are available. We demonstrate that our techniques can easily be integrated into Smoothed Particle Hydrodynamics (SPH) based simulations.

“…Based on the above coupling method, Orthmann et al . [OHB*13] present a consistent surface model in SPH in conjunction with conservative transport mechanisms within the fluid's surface and between surface and fluid volume, which enables wash‐out and coating of rigid objects as well as concentration controlled surface effects like tension, wetting and dragging. By adaptively sampling triangulated surfaces of solids with boundary particles to prevent gaps and undesired leakage, [ACAT13] handles the elastic boundaries of SPH fluids.…”

Section: Related Workmentioning

confidence: 99%

Stable and Fast Fluid–Solid Coupling for Incompressible SPH

Shao

Zhou

Thalmann

et al. 2014

The solid boundary handling has been a research focus in physically based fluid animation. In this paper, we propose a novel stable and fast particle method to couple predictive–corrective incompressible smoothed particle hydrodynamics and geometric lattice shape matching (LSM), which animates the visually realistic interaction of fluids and deformable solids allowing larger time steps or velocity differences. By combining the boundary particles sampled from solids with a momentum‐conserving velocity‐position correction scheme, our approach can alleviate the particle deficiency issues and prevent the penetration artefacts at the fluid–solid interfaces simultaneously. We further simulate the stable deformation and melting of solid objects coupled to smoothed particle hydrodynamics fluids based on a highly extended LSM model. In order to improve the time performance of each time step, we entirely implement the unified particle framework on GPUs using compute unified device architecture. The advantages of our two‐way fluid–solid coupling method in computer animation are demonstrated via several virtual scenarios.