Velocity, density and energy budget statistics from the article: Validation and application of the lattice Boltzmann algorithm for a turbulent immiscible Rayleigh-Taylor system

We develop a multicomponent lattice Boltzmann (LB) model for the 2D Rayleigh--Taylor turbulence with a Shan-Chen pseudopotential implemented on GPUs. Accuracy of the LB model is tested both for early and late stages of instability. For the developed turbulent motion we analyze the balance between different terms describing variations of the kinetic and potential energies. Then, we analyze the role of interface in the energy balance, and also the effects of the vorticity induced by the interface in the energy dissipation. Statistical properties are compared for miscible and immiscible flows.

In this Dataset, we have included the files for the statistics of the energy budget for the miscible and immiscible Rayleigh-Taylor flows studied in the referred article.

We also included the examples of the density and velocity fields showed in the Figures 1 and 2 of the article.

本研究构建了面向二维瑞利-泰勒（Rayleigh-Taylor）湍流的多组分格子玻尔兹曼（lattice Boltzmann, LB）模型，该模型采用在图形处理器（GPU）上实现的Shan-Chen伪势（Shan-Chen pseudopotential）方法。针对该不稳定性的早期与晚期演化阶段，我们对本LB模型的计算精度进行了验证。针对所生成的湍流运动，我们分析了描述动能与势能变化的各分项间的平衡关系。随后，我们探究了界面在能量平衡中的作用，以及界面诱导的涡量对能量耗散的影响。此外，我们还对比了可混溶与不可混溶流动的统计特性。

本数据集包含了参考文献中所研究的可混溶与不可混溶瑞利-泰勒流动的能量收支统计相关文件。

本数据集还提供了论文中图1与图2所示的密度场与速度场示例数据。