A polynomial particle-in-cell method
2017
Recently the Affine Particle-In-Cell (APIC) Method was proposed by Jiang et al.[2015; 2017b] to improve the accuracy of the transfers in Particle-In-Cell (PIC) [Harlow 1964] techniques by augmenting each particle with a locally affine, rather than locally constant description of the velocity. This reduced the dissipation of the original PIC without suffering from the noise present in the historic alternative, Fluid-Implicit-Particle (FLIP) [Brackbill and Ruppel 1986]. We present a generalization of APIC by augmenting each particle with a more general local function. By viewing the grid-to-particle transfer as a linear and angular momentum conserving projection of the particle-wise local grid velocities onto a reduced basis, we greatly improve the energy and vorticity conservation over the original APIC. Furthermore, we show that the cost of the generalized projection is negligible over APIC when using a particular class of local polynomial functions. Lastly, we note that our method retains the filtering property of APIC and PIC and thus has similar robustness to noise.
Keywords:
- Mathematics
- Synthetic division
- Mathematical optimization
- Affine transformation
- Minimal polynomial (linear algebra)
- Reciprocal polynomial
- Square-free polynomial
- Characteristic polynomial
- Wilkinson's polynomial
- Alternating polynomial
- Degree of a polynomial
- Polynomial
- Applied mathematics
- Stable polynomial
- Matrix polynomial
- Polynomial matrix
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
57
References
61
Citations
NaN
KQI