遇见数据集

Turbulent Channel Flow

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DataCite Commons2025-05-29 更新2025-04-16 收录
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The turbulent channel flow database is produced from a direct numerical simulation (DNS) of wall bounded flow with periodic boundary conditions in the longitudinal and transverse directions, and no-slip conditions at the top and bottom walls. In the simulation, the Navier-Stokes equations are solved using a wall {normal, velocity {vorticity formulation. Solutions to the governing equations are provided using a Fourier-Galerkin pseudo-spectral method for the longitudinal and transverse directions and seventh-order Basis-splines (B-splines) collocation method in the wall normal direction. De-aliasing is performed using the 3/2-rule [3]. Temporal integration is performed using a low-storage, third-order Runge-Kutta method. Initially, the flow is driven using a constant volume flux control (imposing a bulk channel mean velocity of U = 1) until stationary conditions are reached. Then the control is changed to a constant applied mean pressure gradient forcing term equivalent to the shear stress resulting from the prior steps. Additional iterations are then performed to further achieve statistical stationarity before outputting fields.

创建时间:
2017-11-16
搜集汇总
数据集介绍
Turbulent Channel Flow 数据集图片
背景与挑战
背景概述
该数据集是基于直接数值模拟(DNS)的槽道湍流数据,计算域尺寸为8π×2×3π,采用了2048×512×1536的高分辨率网格。模拟在达到统计稳定后存储了4000帧速度分量与压力数据,摩擦雷诺数Reτ≈1000,适用于高雷诺数壁湍流特性的研究。
以上内容由遇见数据集搜集并总结生成
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