Closed-loop turbulence control is a critical enabler of aerodynamic drag reduction, lift
increase, mixing enhancement, and noise reduction. Current and future applications have …

In terms of multiple temporal and spatial scales, massive data from experiments, flow field
measurements, and high-fidelity numerical simulations have greatly promoted the rapid …

We present the first closed-loop separation control experiment using a novel, model-free
strategy based on genetic programming, which we call 'machine learning control'. The goal …

实验观测, 理论研究以及数值模拟是包括流体力学在内很多学科的基本研究范式. 21 世纪以来,
大数据驱动下的人工智能成为引领新一轮科技革命和产业变革的重要驱动力 …

We investigate open-and closed-loop active control for aerodynamic drag reduction of a car
model. Turbulent flow around a blunt-edged Ahmed body is examined at Re_ H ≈ 3 * 10^ 5 …

This work proposes a feedback-loop strategy to suppress intrinsic oscillations of resonating
flows in the fully nonlinear regime. The frequency response of the flow is obtained from the …

We experimentally perform open and closed-loop control of a separating turbulent boundary
layer downstream from a sharp edge ramp. The turbulent boundary layer just above the …

智能空气动力学是人工智能与空气动力学的结合, 融入了第四研究范式(数据驱动)
的独特研究方法, 已逐步发展成为一门独立的交叉学科. 本文首先对智能空气动力学的概念和 …

This work explores the use of data-driven methods, including machine learning and sparse
sampling, for systems in fluid dynamics. In particular, camera images of a transitional …

Many previous studies have shown that the turbulent mixing layer under periodic forcing
tends to adopt a lock-on state, where the major portion of the fluctuations in the flow are …