论文标题
涡轮rot。来自湍流旋转流的3D和2D快照的大数据库
TURB-Rot. A large database of 3d and 2d snapshots from turbulent rotating flows
论文作者
论文摘要
我们提出了Turb-Rot，这是一个新的开放数据库，该数据库的湍流速度场的3D和2D快照，在旋转存在下通过原始Navier-Stokes方程的直接数值模拟（DNS）获得。目的是为社区提供对数据融合和/或计算机视觉感兴趣的社区，并通过大约300k的复杂图像和田地制成的新测试地面。涡轮rot数据的特征是多尺度在近二十年的尺度上强烈非高斯特征和粗糙，非差异的字段。此外，它们来自原始部分微分方程的完全分辨的数值模拟，它们提供了采用从无方程式到基于物理模型的广泛方法的可能性。可以在http://smart-turb.roma2.infn.it上获取涡轮杆数据
We present TURB-Rot, a new open database of 3d and 2d snapshots of turbulent velocity fields, obtained by Direct Numerical Simulations (DNS) of the original Navier-Stokes equations in the presence of rotation. The aim is to provide the community interested in data-assimilation and/or computer vision with a new testing-ground made of roughly 300K complex images and fields. TURB-Rot data are characterized by multi-scales strongly non-Gaussian features and rough, non-differentiable, fields over almost two decades of scales. In addition, coming from fully resolved numerical simulations of the original partial differential equations, they offer the possibility to apply a wide range of approaches, from equation-free to physics-based models. TURB-Rot data are reachable at http://smart-turb.roma2.infn.it
