Differentially weighted operator splitting Monte Carlo method for simulating complex aerosol dynamic processes--颗粒学报PARTICUOLOGY

Liu, H., & Chan, T. L. (2018). Differentially weighted operator splitting Monte Carlo method for simulating complex aerosol dynamic processes. Particuology, 36, 114-126. https://doi.org/10.1016/j.partic.2017.04.002

Differentially weighted operator splitting Monte Carlo method for simulating complex aerosol dynamic processes

Hongmei Liu, Tat Leung Chan ^*

Department of Mechanical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China

10.1016/j.partic.2017.04.002

Volume 36, February 2018, Pages 114-126

Received 7 December 2016, Revised 17 March 2017, Accepted 10 April 2017, Available online 31 July 2017, Version of Record 22 December 2017.

E-mail: mmtlchan@polyu.edu.hk

Highlights

• A DWOSMC method was proposed and developed for simulating complex aerosol dynamic processes.

• The method was validated by both analytical solutions and sectional method.

• Results show that the method is able to predict the evolution of particle size distribution.

• The method was proved to have high computational efficiency and accuracy.

Abstract

A differentially weighted operator splitting Monte Carlo (DWOSMC) method is developed to solve complex aerosol dynamic processes by coupling the differentially weighted Monte Carlo method and the operator splitting technique. This method is validated by analytical solutions and a sectional method in different aerosol dynamic processes. It is first validated in coagulation and condensation processes, and nucleation and coagulation processes, and then validated through simultaneous nucleation, coagulation, and condensation processes. The results show that the DWOSMC method is a computationally efficient and quantitatively accurate method for simulating complex aerosol dynamic processes.

Graphical abstract

Keywords

Differentially weighted Monte Carlo; Operator splitting; Aerosol dynamics; Particle size distribution

文章导读