论文标题
有效平滑颗粒辐射流体动力学I:热辐射转移
Efficient smoothed particle radiation hydrodynamics I: Thermal radiative transfer
论文作者
论文摘要
这项工作提出了有效的解决方案技术,用于在平滑的粒子流体动力学离散化中进行辐射转移。影响效率的两种选择是材料和辐射能的耦合方式,这决定了收敛发射源所需的迭代次数,以及如何求解辐射扩散方程,这必须在每次迭代中完成。使用基于非线性消除的牛顿迭代方案来求解耦合的材料和辐射能方程,这减少了在每个时间步骤内收敛所需的牛顿迭代次数。在每次牛顿迭代期间,使用Multigrid Preadentioner的Krylov迭代方法求解了辐射扩散方程,该方法在并行运行时会抽象并优化大部分通信。该代码已通过无限介质问题,一维的Marshak波和两维制造的问题进行了验证,并在空间中表现出一阶收敛和二阶收敛。对于这些问题,融合不精确的牛顿方案和扩散方程所需的迭代次数独立于空间点的数量和处理器的数量。
This work presents efficient solution techniques for radiative transfer in the smoothed particle hydrodynamics discretization. Two choices that impact efficiency are how the material and radiation energy are coupled, which determines the number of iterations needed to converge the emission source, and how the radiation diffusion equation is solved, which must be done in each iteration. The coupled material and radiation energy equations are solved using an inexact Newton iteration scheme based on nonlinear elimination, which reduces the number of Newton iterations needed to converge within each time step. During each Newton iteration, the radiation diffusion equation is solved using Krylov iterative methods with a multigrid preconditioner, which abstracts and optimizes much of the communication when running in parallel. The code is verified for an infinite medium problem, a one-dimensional Marshak wave, and a two and three-dimensional manufactured problem, and exhibits first-order convergence in time and second-order convergence in space. For these problems, the number of iterations needed to converge the inexact Newton scheme and the diffusion equation are independent of the number of spatial points and the number of processors.