论文标题
一个主动学习策略，用于研究具有两个不对称旋转缸的固定缸的流量控制
An active learning strategy to study the flow control of a stationary cylinder with two asymmetrically attached rotating cylinders
论文作者
论文摘要
我们使用两个连接的控制缸以不同的旋转速率在固定的Reynold编号500处通过固定圆柱体的流量进行流动控制问题。与传统的统一（晶格）采样方法相比，我们基于高斯工艺回归（GPR）制定了一种主动学习策略，从而大大减少了模拟的数量并加速了科学发现。我们还讨论了参数对不同流体动力系数的影响，并验证了该策略的可行性。还通过分析流动模式进一步研究了这种不对称流控制模型的机制。
We numerically investigate the flow control problem of the flow passing a stationary cylinder at a fixed Reynold number 500 using two attached control cylinders with different rotation rates. Compared to the traditional uniform (lattice) sampling method, we developed an active learning strategy based on Gaussian Process Regression (GPR), drastically reducing the number of simulations and accelerating the scientific findings. We also discussed the effects of parameters on different hydrodynamic coefficients, and verified the feasibility of this strategy. The mechanism of this asymmetric flow control model was also further studied by analyzing flow patterns.
