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Fixed-width regularized conservative SPH particle system
Definition
Fix d,N≥1, positive masses m_1,…,m_N, ε>0, the kernel W_ε from Scaled symmetric compactly supported kernel family, and a pressure map P∈C¹((0,∞)×R,R). Positions q_i and velocities v_i lie in R^d with the Euclidean inner product from The Euclidean inner product on , and specific internal energies e_i lie in R. Define
The state domain is U={ (q,v,e): ρ_i(q)>0 for every i }. On U, the fixed-width semidiscrete system is
A controlled tube is a compact subset of U on which ρ_i≥ρ_*>0 for every i. The system is semidiscrete: time remains continuous while the spatial state is represented by finitely many particles. It has fixed masses and fixed ε, includes the displayed matched internal-energy equation, and contains no artificial viscosity. No continuum Euler convergence is part of this definition.
Depends on
Used by
- A conservative positive-pressure SPH system can close a particle gap Counterexample
- Two SPH particles receive equal and opposite pressure forces Example
- Explicit local Lipschitz bound for the regularized SPH vector field Lemma
- SPH pressure forces are equal-opposite and central Lemma
- Linear and angular momentum are conserved by semidiscrete SPH Proposition
- The matched internal-energy equation conserves total semidiscrete energy Proposition
- Forward Euler has first-order global error and preserves a margin tube for the regularized SPH ODE Theorem
- Local well-posedness of the regularized finite-particle SPH system Theorem
Dependency tree · two levels
18 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Volker Springel, Smoothed Particle Hydrodynamics in Astrophysics, Annual Review of Astronomy and Astrophysics 48 (2010), author full text (standard reference, not scraped)
- Benjamin Seibold, MIT OpenCourseWare 18.336, Numerical Methods for Partial Differential Equations, Lecture 25: Particle Methods (Spring 2009) (standard reference, not scraped)