Convergence of mass transfer particle tracking schemes for the simulation of advection-diffusion-reaction equations

IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED Applied Mathematics and Computation Pub Date : 2025-07-01 Epub Date: 2025-02-18 DOI:10.1016/j.amc.2025.129358
Stephen Pankavich , Lucas Schauer , Michael J. Schmidt , Nicholas B. Engdahl , Diogo Bolster , David A. Benson
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Abstract

Since their introduction [1], [2], multi-species mass-transfer particle tracking (or MTPT) algorithms have been used to accurately simulate advective and dispersive transport of solutes, even within systems that feature nonlinear chemical reactions. The MTPT methods were originally derived from a probabilistic or first-principles perspective and have previously lacked a more rigorous derivation arising directly from the underlying advection-diffusion-reaction equation (ADRE). Herein, we provide a fully rigorous derivation of the MTPT method as a Lagrangian approximation of solutions to the ADRE, complete with a description of the error and order of accuracy generated by this approximation. Numerical simulations further detail the fidelity of MTPT methods and display parameter regimes wherein the numerical error is independent of the chosen time step, and thereby dependent only upon the numerical discretization of the spatial domain via the number of particles within a simulation. Finally, different normalizations of the local Green's function are shown to generate similar approximations of the underlying solution for stationary particles.
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模拟平流-扩散-反应方程的传质粒子跟踪格式的收敛性
自从引入[1],[2]以来,多物种传质粒子跟踪(或MTPT)算法已被用于精确模拟溶质的平流和色散输运,甚至在具有非线性化学反应的系统中也是如此。MTPT方法最初是从概率或第一性原理的角度推导出来的,以前缺乏从潜在的平流-扩散-反应方程(ADRE)直接产生的更严格的推导。在此,我们提供了MTPT方法作为ADRE解的拉格朗日近似的完全严格推导,并完成了该近似产生的误差和精度顺序的描述。数值模拟进一步详细说明了MTPT方法的保真度和显示参数制度,其中数值误差与所选择的时间步长无关,因此仅依赖于通过模拟中的粒子数量对空间域进行数值离散化。最后,局部格林函数的不同归一化显示出对静止粒子的基本解产生相似的近似。
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来源期刊
CiteScore
7.90
自引率
10.00%
发文量
755
审稿时长
36 days
期刊介绍: Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results. In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.
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