A database of CFD-computed flow fields around airfoils for machine-learning applications

This dataset is designed to test Machine-Learning techniques on Computational Fluid Dynamics (CFD) data.<br> <br> It contains two-dimensional RANS simulations of the turbulent flow around NACA 4-digits airfoils, at fixed angle of attack (10 degrees) and at a fixed Reynolds number (3x10^6). The whole NACA family is spawned. The present dataset contains 2600 geometries, and 425 further geometries are published in an accompanying repository (10.5281/zenodo.4638071). For further information refer to: Schillaci, A., Quadrio, M., Pipolo, C., Restelli, M., Boracchi, G. "Inferring Functional Properties from Fluid Dynamics Features" 2020 25th International Conference on Pattern Recognition (ICPR) Milan, Italy, Jan 10-15, 2021本数据集旨在针对计算流体动力学（CFD）数据开展机器学习技术测试。 本数据集包含固定攻角为10°、雷诺数为3×10^6条件下，NACA四位数字翼型绕流湍流的二维雷诺平均纳维-斯托克斯（RANS）模拟结果，覆盖全部NACA翼型系列。本数据集共包含2600个几何构型，另有425个几何构型于配套仓库中发布（DOI：10.5281/zenodo.4638071）。如需获取更多信息，请参阅以下文献：Schillaci, A., Quadrio, M., Pipolo, C., Restelli, M., Boracchi, G. 《从流体动力学特征推断功能属性》，发表于2020年第25届国际模式识别会议（ICPR），意大利米兰，2021年1月10日至15日。