Massively-Parallel Lagrangian Particle Code and Applications

TL;DR

This paper presents the development and application of a massively-parallel Lagrangian particle hydrodynamics code using octree-based algorithms, enabling simulations of complex fluid dynamics problems in science and engineering.

Contribution

It introduces a parallel particle management module based on the p4est library, enhancing scalability and efficiency for Lagrangian particle simulations.

Findings

Successfully verified parallel algorithms for particle management.

Applied the code to simulate impurity injection in fusion devices.

Simulated supersonic hydrogen jets for laser-plasma acceleration.

Abstract

Massively-parallel, distributed-memory algorithms for the Lagrangian particle hydrodynamic method [R. Samulyak, X. Wang, H.-C. Chen, Lagrangian particle method for compressible fluid dynamics, J. Comput. Phys., 362 (2018), 1-19] have been developed, verified, and implemented. The key component of parallel algorithms is a particle management module that includes a parallel construction of octree databases, dynamic adaptation and refinement of octrees, and particle migration between parallel subdomains. The particle management module is based on the p4est (parallel forest of k-trees) library. The massively-parallel Lagrangian particle code has been applied to a variety of fundamental science and applied problems. A summary of Lagrangian particle code applications to the injection of impurities into thermonuclear fusion devices and to the simulation of supersonic hydrogen jets in support of laser-plasma wakefield acceleration projects has also been presented.