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
相关论文
共 50 条
  • [1] DIRECT SIMULATION MONTE CARLO FOR DENSE HARD SPHERES
    Chao, Liu
    Kwak, Sang Kyu
    Ansumali, Santosh
    INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2014, 25 (01):
  • [2] Differentially weighted direct simulation Monte Carlo method for particle collision in gas-solid flows
    He, Yongxiang
    Zhao, Haibo
    Wang, Haoming
    Zheng, Chuguang
    PARTICUOLOGY, 2015, 21 : 135 - 145
  • [3] Evolution of Aerosols Coupled to Environments: Verification of Direct Simulation Monte Carlo (DSMC)
    Saldivar, Isaac
    Loyalka, Sudarshan K.
    NUCLEAR TECHNOLOGY, 2018, 204 (02) : 172 - 183
  • [4] On an Axisymmetric Direct Simulation Monte Carlo Method
    Lo, Ming-Chung
    Pan, Chien-Yu
    Wu, Jong-Shinn
    INTERNATIONAL JOURNAL OF COMPUTATIONAL FLUID DYNAMICS, 2021, 35 (05) : 373 - 387
  • [5] Quasi-Monte Carlo simulation of coagulation-fragmentation
    Lecot, Christian
    L'Ecuyer, Pierre
    El Haddad, Rami
    Tarhini, Ali
    MATHEMATICS AND COMPUTERS IN SIMULATION, 2019, 161 : 113 - 124
  • [6] Fluctuating Hydrodynamics and Direct Simulation Monte Carlo
    Balakrishnan, Kaushik
    Bell, John B.
    Donev, Aleksandar
    Garcia, Alejandro L.
    28TH INTERNATIONAL SYMPOSIUM ON RAREFIED GAS DYNAMICS 2012, VOLS. 1 AND 2, 2012, 1501 : 695 - 704
  • [7] Investigation of Asphaltene Aggregate Size Distribution Under Aggregation and Breakage Phenomena Using Monte Carlo Simulation
    Faraji, Marjan
    Nazar, Ali Reza Solaimany
    JOURNAL OF DISPERSION SCIENCE AND TECHNOLOGY, 2013, 34 (04) : 455 - 461
  • [8] Hedging direct simulation Monte Carlo bets via event splitting
    Oblapenko, G.
    Goldstein, D.
    Varghese, P.
    Moore, C.
    JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 466
  • [9] Surface recombination in the direct simulation Monte Carlo method
    Molchanova, Alexandra N.
    Kashkovsky, Alexander V.
    Bondar, Yevgeniy A.
    PHYSICS OF FLUIDS, 2018, 30 (10)
  • [10] Stochastic theory of direct simulation Monte Carlo method
    Hasan Karabulut
    Huriye Arıman Karabulut
    Theoretical Chemistry Accounts, 2009, 122 : 227 - 243