遇见数据集

Cylinder Drag Reduction Dataset

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arXiv2025-09-30 收录
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该数据集包含了在流体流动环境中,对气缸进行速度和压力测量的数据,这些数据被用于评估在减阻方面控制策略的性能。此外,该数据集还用于展示双世界嵌入注意特征选择(D-AFS)框架在动态环境中选择控制相关特征的适应性。该数据集的规模包括围绕气缸的151个速度探头,任务涉及主动流动控制及特征选择。

This dataset contains velocity and pressure measurement data acquired on a cylinder within a fluid flow environment, and is utilized to evaluate the performance of control strategies for drag reduction. Furthermore, it is employed to demonstrate the adaptability of the Dual-World Embedded Attention Feature Selection (D-AFS) framework when selecting control-relevant features in dynamic environments. The dataset includes 151 velocity probes deployed around the cylinder, with the associated tasks involving active flow control and feature selection.

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