Technical Report 120, c4e-Preprint Series, Cambridge

Application of stochastic weighted algorithms to a multidimensional silica particle model

ref: Technical Report 120, c4e-Preprint Series, Cambridge

Associated Themes: Numerics and Nanoparticles

Abstract

This paper presents a detailed study of the numerical behaviour of stochastic weighted algorithms (SWAs) using the transition regime coagulation kernel and a multidimensional silica particle model. The implementation in the SWAs of the transition regime coagulation kernel and associated majorant rates is described. The silica particle model of Shekar et al. (2012, J.~Aerosol Sci. 44 83-98) was used in conjunction with this coagulation kernel to study the convergence properties of SWAs with a multidimensional particle model. High precision solutions were calculated with two SWAs and also with the established Direct Simulation Algorithm. These solutions, which were generated using large number of computational particles, showed close agreement. It was thus demonstrated that SWAs can be successfully used with complex coagulation kernels and high dimensional particle models to simulate real-world systems.

Material from this preprint has been published in: Journal of Computational Physics 248, 221-234, (2013)

Download

PDF (735.62 KB)