Direct simulation Monte Carlo for new regimes in aggregation-fragmentation kinetics

被引:11
|
作者
Kalinov, A. [1 ,2 ]
Osinsky, A., I [1 ]
Matveev, S. A. [3 ,4 ]
Otieno, W. [5 ]
Brilliantov, N., V [1 ,5 ]
机构
[1] Skolkovo Inst Sci & Technol, Moscow, Russia
[2] Inst Sci & Technol Austria ISTA, Campus 1, A-3400 Klosterneuburg, Austria
[3] Lomonosov Moscow State Univ, Fac Computat Math & Cybernet, Moscow, Russia
[4] Russian Acad Sci, Marchuk Inst Numer Math, Moscow, Russia
[5] Univ Leicester, Leicester, Leics, England
关键词
Coagulation; Aggregation-fragmentation kinetics; Smoluchowski equations; Direct simulation Monte Carlo; Steady oscillations; PARTICLE COAGULATION; STOCHASTIC ALGORITHM; DUST COAGULATION; BREAKAGE; DYNAMICS; EQUATION; DIFFUSION; MODEL;
D O I
10.1016/j.jcp.2022.111439
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
We revisit two basic Direct Simulation Monte Carlo Methods to model aggregation kinetics and extend them for aggregation processes with collisional fragmentation (shattering). We test the performance and accuracy of the extended methods and compare their performance with the efficient deterministic finite-difference method applied to the same model. We validate the stochastic methods on the test problems and apply them to verify the existence of oscillating regimes in the aggregation-fragmentation kinetics recently detected in deterministic simulations. We confirm the emergence of steady oscillations of densities in such systems and prove the stability of the oscillations with respect to fluctuations and noise. (c) 2022 Elsevier Inc. All rights reserved.
引用
收藏
页数:13
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