| JOURNAL OF COMPUTATIONAL PHYSICS | 卷:421 |
| Tensor methods for the Boltzmann-BGK equation | |
| Article | |
| Boelens, Arnout M. P.1  Venturi, Daniele2  Tartakovsky, Daniel M.1  | |
| [1] Stanford Univ, Dept Energy Resources Engn, Stanford, CA 94305 USA | |
| [2] UC Santa Cruz, Dept Appl Math, Santa Cruz, CA 95064 USA | |
| 关键词: High-dimensional PDE; Tensor method; Non-equilibrium; | |
| DOI : 10.1016/j.jcp.2020.109744 | |
| 来源: Elsevier | |
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【 摘 要 】
We present a tensor-decomposition method to solve the Boltzmann transport equation (BTE) in the Bhatnagar-Gross-Krook approximation. The method represents the six-dimensional BTE as a set of six one-dimensional problems, which are solved with the alternating least-squares algorithm and the discrete Fourier transform at N collocation points. We use this method to predict the equilibrium distribution (steady-state simulation) and a non-equilibrium distribution returning to the equilibrium (transient simulation). Our numerical experiments demonstrate N log N scaling. Unlike many BTE-specific numerical techniques, the numerical tensor-decomposition method we propose is a general technique that can be applied to other high-dimensional systems. (C) 2020 Elsevier Inc. All rights reserved.
【 授权许可】
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【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| 10_1016_j_jcp_2020_109744.pdf | 1108KB |
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