A new method for simulating aerosols Brownian coagulation based on finite active samples assumption. (May 2018)

• Record Type: Journal Article
• Authors: Li, Yu; Gu, Weiguo; He, Jinpeng; Wang, Dezhong
• Is Part Of: Annals of nuclear energy. Volume 115(2018)
• Page Start: 534
• Page End: 541
• Publication Date: 2018-05
• Subjects: Brownian coagulation -- Coagulation coefficient -- Monte Carlo algorithm and Finite Active Samples Assumption (MC-FASA) Method -- Monodisperse -- Polydisperse; Nuclear energy -- Periodicals; Nuclear engineering -- Periodicals; 621.4805
• DOI: 10.1016/j.anucene.2018.01.014
• Languages: English
• ISSNs: 0306-4549

Abstract

Highlights: A new method for simulating aerosols Brownian coagulation is proposed. It is an effective method for evaluating the coagulation behaviors of aerosols. The coagulation behaviors of monodisperse and polydisperse aerosols are analyzed. The coagulation coefficient can be obtained by the method. Time evolution of particle size distribution and concentration can be obtained. Abstract: Aerosol dynamics are of great importance in the concept of Leak Before Break (LBB) in the Nuclear Power Plant (NPP). Coagulation is of common interest due to its influence on the particle size distribution and number concentration during the diffusion process. In this paper, a new method for simulating aerosols Brownian collision and coagulation based on Monte Carlo algorithm and Finite Active Samples Assumption (MC-FASA) is proposed, and the corresponding software is developed. This MC-FASA method can directly simulate the collision process and obtain the coagulation coefficient as well as the time evolution of particle size distribution and number concentration. The method can reduce the computation amount without the loss of accuracy. The results are validated by the analytical solutions both for the monodisperse and polydisperse aerosol particles. The method provides the confidence to cover more aerosol dynamic processes in the coolant leakage from the reactor coolant pressure boundary (RCPB).