方法对比
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| 雷诺平均纳维-斯托克斯方程× | 格子玻尔兹曼方法× | |
|---|---|---|
| 领域 | 流体力学 | 流体力学 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1895 | 1988 |
| 提出者≠ | Osborne Reynolds | Gianluigi Zanetti |
| 类型≠ | Computational turbulence modeling approach | Kinetic theory-based simulation method |
| 开创性文献≠ | Reynolds, O. (1895). On the dynamical theory of incompressible viscous fluids and the determination of the criterion. Philosophical Transactions of the Royal Society A, 186, 123-164. DOI ↗ | McNamara, G. R., & Zanetti, G. (1988). Use of the Boltzmann equation to simulate lattice-gas automata. Physical Review Letters, 61(20), 2332-2335. DOI ↗ |
| 别名 | RANS, Reynolds-averaged flow simulation | LBM, lattice gas automata |
| 相关 | 5 | 5 |
| 摘要≠ | The Reynolds-Averaged Navier-Stokes (RANS) equations represent a time-averaged form of the Navier-Stokes equations developed by Osborne Reynolds in 1895. This approach decomposes turbulent flow into mean and fluctuating components, enabling practical simulation of turbulent flows by modeling turbulent stresses rather than resolving all scales. RANS remains the most widely used computational fluid dynamics method in engineering applications due to its computational efficiency. | The Lattice Boltzmann Method (LBM) is a kinetic theory-based computational approach to fluid dynamics that discretizes the Boltzmann equation on a lattice grid. Developed by McNamara and Zanetti in 1988, LBM computes fluid behavior by tracking the distribution of particle velocities at discrete lattice nodes rather than solving the Navier-Stokes equations directly. This method naturally incorporates complex physics (turbulence, multiphase flows, porous media) and is highly parallelizable, making it increasingly popular for modern computational platforms. |
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