We present a new approach to find accurate solutions to the Poisson equation, as obtained from the steady-state limit of a diffusion equation with strong source terms. For this purpose, we start from Boltzmann's kinetic theory and investigate the influence of higher-order terms on the resulting macroscopic equations. By performing an appropriate expansion of the equilibrium distribution, we provide a method to remove the unnecessary terms up to a desired order and show that it is possible to find, with high level of accuracy, the steady-state solution of the diffusion equation for sizeable Knudsen numbers. In order to test our kinetic approach, we discretize the Boltzmann equation and solve the Poisson equation, spending up to six order of magnitude less computational time for a given precision than standard lattice Boltzmann methods (LBMs).
机构:
Lviv Polytehnic National University, Department of Applied Mathematics, ul. Bandery 12, LvovLviv Polytehnic National University, Department of Applied Mathematics, ul. Bandery 12, Lvov
Kutniv M.V.
Makarov V.L.
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Institute of Mathematics, Ukrainian National Academy of Sciences, KyivLviv Polytehnic National University, Department of Applied Mathematics, ul. Bandery 12, Lvov
机构:
Univ Notre Dame, Dept Appl & Computat Math & Stat, Notre Dame, IN 46556 USAUniv Notre Dame, Dept Appl & Computat Math & Stat, Notre Dame, IN 46556 USA
Hao, Wenrui
Zhu, Shaohong
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Nankai Univ, Sch Math Sci, Tianjin 300071, Peoples R China
Nankai Univ, LPMC, Tianjin 300071, Peoples R ChinaUniv Notre Dame, Dept Appl & Computat Math & Stat, Notre Dame, IN 46556 USA
机构:
Xian Jiao Tong Univ, Sch Energy & Power Engn, Xian 710049, Peoples R ChinaXian Jiao Tong Univ, Sch Energy & Power Engn, Xian 710049, Peoples R China
Ni, MJ
Xi, G
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Xian Jiao Tong Univ, Sch Energy & Power Engn, Xian 710049, Peoples R ChinaXian Jiao Tong Univ, Sch Energy & Power Engn, Xian 710049, Peoples R China
Xi, G
Wang, SJ
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Xian Jiao Tong Univ, Sch Energy & Power Engn, Xian 710049, Peoples R ChinaXian Jiao Tong Univ, Sch Energy & Power Engn, Xian 710049, Peoples R China