Discrete Boltzmann model with split collision for nonequilibrium reactive flows

被引:2
|
作者
Lin, Chuandong [1 ,2 ,3 ]
Luo, Kai H. [4 ]
Lai, Huilin [5 ]
机构
[1] Sun Yat sen Univ, Sino French Inst Nucl Engn & Technol, Zhuhai 519082, Peoples R China
[2] Tsinghua Univ, Dept Energy & Power Engn, Key Lab Thermal Sci & Power Engn, Minist Educ, Beijing 100084, Peoples R China
[3] Natl Univ Singapore, Dept Mech Engn, 10 Kent Ridge Crescent, Singapore 119260, Singapore
[4] UCL, Dept Mech Engn, Torrington Pl, London WC1E 7JE, England
[5] Fujian Normal Univ, Ctr Appl Math Fujian Prov FJNU, Key Lab Analyt Math & Applicat, Sch Math & Stat,Minist Educ,Fujian Key Lab Analyt, Fuzhou 350117, Peoples R China
基金
英国工程与自然科学研究理事会; 中国国家自然科学基金;
关键词
discrete Boltzmann method; reactive flow; detonation; nonequilibrium effect; EFFICIENT IMPLEMENTATION; KINETIC SIMULATION; COMBUSTION; DETONATION; DIFFUSION;
D O I
10.1088/1572-9494/ad4a36
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
A multi-relaxation-time discrete Boltzmann model (DBM) with split collision is proposed for both subsonic and supersonic compressible reacting flows, where chemical reactions take place among various components. The physical model is based on a unified set of discrete Boltzmann equations that describes the evolution of each chemical species with adjustable acceleration, specific heat ratio, and Prandtl number. On the right-hand side of discrete Boltzmann equations, the collision, force, and reaction terms denote the change rates of distribution functions due to self- and cross-collisions, external forces, and chemical reactions, respectively. The source terms can be calculated in three ways, among which the matrix inversion method possesses the highest physical accuracy and computational efficiency. Through Chapman-Enskog analysis, it is proved that the DBM is consistent with the reactive Navier-Stokes equations, Fick's law and the Stefan-Maxwell diffusion equation in the hydrodynamic limit. Compared with the one-step-relaxation model, the split collision model offers a detailed and precise description of hydrodynamic, thermodynamic, and chemical nonequilibrium effects. Finally, the model is validated by six benchmarks, including multicomponent diffusion, mixture in the force field, Kelvin-Helmholtz instability, flame at constant pressure, opposing chemical reaction, and steady detonation.
引用
收藏
页数:23
相关论文
共 50 条
  • [1] Discrete Boltzmann model with split collision for nonequilibrium reactive flows
    Chuandong Lin
    Kai H Luo
    Huilin Lai
    Communications in Theoretical Physics, 2024, 76 (08) : 166 - 188
  • [2] A multi-component discrete Boltzmann model for nonequilibrium reactive flows
    Lin, Chuandong
    Luo, Kai Hong
    Fei, Linlin
    Succi, Sauro
    SCIENTIFIC REPORTS, 2017, 7
  • [3] A multi-component discrete Boltzmann model for nonequilibrium reactive flows
    Chuandong Lin
    Kai Hong Luo
    Linlin Fei
    Sauro Succi
    Scientific Reports, 7
  • [4] Discrete Boltzmann modeling of unsteady reactive flows with nonequilibrium effects
    Lin, Chuandong
    Luo, Kai H.
    PHYSICAL REVIEW E, 2019, 99 (01)
  • [5] Three-dimensional multiple-relaxation-time discrete Boltzmann model of compressible reactive flows with nonequilibrium effects
    Ji, Yu
    Lin, Chuandong
    Luo, Kai H.
    AIP ADVANCES, 2021, 11 (04)
  • [6] A discrete reactive collision scheme for the lattice Boltzmann method
    Pribec, Ivan
    Hubman, Anze
    Urbic, Tomaz
    Plazl, Igor
    JOURNAL OF MOLECULAR LIQUIDS, 2021, 332
  • [7] Lattice Boltzmann Simulation of Nonequilibrium Flows Using Spectral Multiple-Relaxation-Time Collision Model
    Yan, Su
    Shan, Xiaowen
    AIAA JOURNAL, 2024, 62 (12) : 4518 - 4532
  • [8] Lattice Boltzmann Simulation of Nonequilibrium Flows Using Spectral Multiple-Relaxation-Time Collision Model
    Yan, Su
    Shan, Xiaowen
    AIAA Journal, 1600, 62 (12): : 4518 - 4532
  • [9] Discrete model collision operators of Boltzmann type
    Görsch, D
    JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 1999, 104 (02) : 145 - 162
  • [10] MRT discrete Boltzmann method for compressible exothermic reactive flows
    Lin, Chuandong
    Luo, Kai Hong
    COMPUTERS & FLUIDS, 2018, 166 : 176 - 183