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首页> 外文期刊>International journal of numerical methods for heat & fluid flow >A stochastically weighted operator splitting Monte Carlo (SWOSMC) method for the numerical simulation of complex aerosol dynamic processes
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A stochastically weighted operator splitting Monte Carlo (SWOSMC) method for the numerical simulation of complex aerosol dynamic processes

机译：随机加权算子分裂蒙特卡罗（SWOSMC）方法用于复杂气溶胶动力学过程的数值模拟

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摘要

Purpose - The purpose of this paper is to study the complex aerosol dynamic processes by using this newly developed stochastically weighted operator splitting Monte Carlo (SWOSMC) method. Design/methodology/approach - Stochastically weighted particle method and operator splitting method are coupled to formulate the SWOSMC method for the numerical simulation of particle-fluid systems undergoing the complex simultaneous processes. Findings - This SWOSMC method is first validated by comparing its numerical simulation results of constant rate coagulation and linear rate condensation with the corresponding analytical solutions. Coagulation and nucleation cases are further studied whose results are compared with the sectional method in excellent agreement This SWOSMC method has also demonstrated its high numerical simulation capability when used to deal with simultaneous aerosol dynamic processes including coagulation, nucleation and condensation. Originality/value - There always exists conflict and tradeoffs between computational cost and accuracy for Monte Carlo-based methods for the numerical simulation of aerosol dynamics. The operator splitting method has been widely used in solving complex partial differential equations, while the stochastic-weighted particle method has been commonly used in numerical simulation of aerosol dynamics. However, the integration of these two methods has not been well investigated.
机译：目的-本文的目的是通过使用这种新开发的随机加权算子分裂蒙特卡罗（SWOSMC）方法研究复杂的气溶胶动力学过程。设计/方法/方法-结合随机加权粒子方法和算子拆分方法，制定了SWOSMC方法，对经历复杂同时过程的粒子-流体系统进行数值模拟。研究结果-该SWOSMC方法首先通过将其恒定速率凝固和线性速率冷凝的数值模拟结果与相应的分析解决方案进行比较来进行验证。进一步研究了凝结和成核的情况，并将其结果与截面方法进行了很好的吻合。该SWOSMC方法还显示出其用于同时处理包括凝结，成核和凝结在内的气溶胶动力学过程的高数值模拟能力。原创性/价值-基于气雾动力学数值模拟的基于蒙特卡洛的方法在计算成本和准确性之间始终存在冲突和折衷。算子分裂法已广泛用于求解复杂的偏微分方程，而随机加权粒子法已普遍用于气溶胶动力学的数值模拟。但是，这两种方法的集成尚未得到很好的研究。

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