An Efficient Hybrid Incompressible SPH Solver with Interface Handling for Boundary Conditions

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Date
2018
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© 2018 The Eurographics Association and John Wiley & Sons Ltd.
Abstract
We propose a hybrid smoothed particle hydrodynamics solver for efficientlysimulating incompressible fluids using an interface handling method for boundary conditions in the pressure Poisson equation. We blend particle density computed with one smooth and one spiky kernel to improve the robustness against both fluid–fluid and fluid–solid collisions. To further improve the robustness and efficiency, we present a new interface handling method consisting of two components: free surface handling for Dirichlet boundary conditions and solid boundary handling for Neumann boundary conditions. Our free surface handling appropriately determines particles for Dirichlet boundary conditions using Jacobi‐based pressure prediction while our solid boundary handling introduces a new term to ensure the solvability of the linear system. We demonstrate that our method outperforms the state‐of‐the‐art particle‐based fluid solvers.We propose a hybrid smoothed particle hydrodynamics solver for efficiently simulating incompressible fluids using an interface handling method for boundary conditions in the pressure Poisson equation. We blend particle density computed with one smooth and one spiky kernel to improve the robustness against both fluid–fluid and fluid–solid collisions.To further improve the robustness and efficiency, we present a new interface handling method consisting of two components: free surface handling for Dirichlet boundary conditions and solid boundary handling for Neumann boundary conditions.
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@article{
10.1111:cgf.13292
, journal = {Computer Graphics Forum}, title = {{
An Efficient Hybrid Incompressible SPH Solver with Interface Handling for Boundary Conditions
}}, author = {
Takahashi, Tetsuya
and
Dobashi, Yoshinori
and
Nishita, Tomoyuki
and
Lin, Ming C.
}, year = {
2018
}, publisher = {
© 2018 The Eurographics Association and John Wiley & Sons Ltd.
}, ISSN = {
1467-8659
}, DOI = {
10.1111/cgf.13292
} }
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