A polynomial particle-in-cell method
Abstract
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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Nov 20, 2017
- Source ID
- 10.1145/3130800.3130878
Entities
People
- Chenfanfu Jiang
- Chuyuan Fu
- Joseph Teran
- Qi Guo
- Theodore Gast
Organizations
- National Science Foundation
- Office of Naval Research
- United States Department of Defense
- University of California
- University of Pennsylvania