期刊
JOURNAL OF COMPUTATIONAL PHYSICS
卷 177, 期 2, 页码 418-449出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1006/jcph.2002.7017
关键词
coagulation; clustering; collection; moments; gel transition
A Monte Carlo (MC) algorithm is presented for the simulation of the time evolution of aggregation processes featuring multiple components, proper-ties, or conservation laws. Instead Of using deterministic differential population balance equations. the MC algorithm utilizes a stochastic approach to aggregation kinetics. As a result. exact simulation of spatially independent aggregation processes is possible without the need for numerical approximations. Furthermore, simulations exactly predict all moments of the size and composition distributions of aggregating particles for both nongelling and gelling kernels and extend these results to the postgelation period. The algorithm is shown to require at most O ((Omega(1) Omega(2)...Omega(K))(1/(K+l)) rate-limiting operations per time step for a K-component aggregation process featuring 72, monomers of each component i-a substantial performance improvement over the potential of previous methods. Simulation results are presented for bivariate sum. product. and constant kernels, and for the perikinetic (Brownian) kernel. (C) 2002 Elsevier Science (USA).
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据