Constrained particle-mesh projections in a hybridized discontinuous Galerkin framework with applications to advection-dominated flows
Jakob M. Maljaars, Robert Jan Labeur, Nathaniel Trask, Deborah Sulsky

TL;DR
This paper introduces a novel particle-mesh scheme combining PIC and HDG methods, enabling diffusion-free advection, local conservation, high-order accuracy, and efficient implementation, demonstrated through various fluid flow benchmarks.
Contribution
It proposes a PDE-constrained optimization-based particle-mesh projection within an HDG framework, allowing high-order, diffusion-free advection with local conservation.
Findings
Achieves optimal spatial accuracy in numerical tests.
Confirms second-order time accuracy with specific time-stepping.
Demonstrates robustness in high Reynolds number flows.
Abstract
By combining concepts from particle-in-cell (PIC) and hybridized discontinuous Galerkin (HDG) methods, we present a particle-mesh scheme which allows for diffusion-free advection, satisfies mass and momentum conservation principles in a local sense, and allows the extension to high-order spatial accuracy. To achieve this, we propose a novel particle-mesh projection operator required for the exchange of information between the particles and the mesh. Key is to cast these projections as a PDE-constrained -optimization problem to allow the advective field naturally located on Lagrangian particles to be expressed as a mesh quantity. By expressing the control variable in terms of single-valued functions at cell interfaces, this optimization problem seamlessly fits in a HDG framework. Owing to this framework, the resulting scheme can be implemented efficiently via static condensation.…
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Taxonomy
TopicsFluid Dynamics Simulations and Interactions · Lattice Boltzmann Simulation Studies · Advanced Numerical Methods in Computational Mathematics
