Dixia Fan

TL;DR: Reinforcement learning is demonstrated to be effectiveness in experimental fluid mechanics and verifies it by simulations, potentially paving the way for efficient exploration of additional active flow control strategies in other complex fluid mechanics applications.

TL;DR: In this article, the authors review and give some discussions on the FIV of offshore circular cylinders, including the research progress on the basic VIV mechanism of an isolated rigid or flexible cylinder, interference of multiple cylinders concerning wake-induced vibration (WIV), practical VIV suppression and unwanted galloping for cylinder of attachments.

TL;DR: The development of the Intelligent Towing Tank is described, an automated experimental facility guided by active learning to conduct a sequence of vortex-induced vibration experiments, wherein the parameters of each next experiment are selected by minimizing suitable acquisition functions of quantified uncertainties.

TL;DR: In this paper, a combination of experiments, conducted at Reynolds number, is used to reconstruct the sectional fluid forces in a flexible structure and show that, once the cross-flow and in-line motion features are known, employing strip theory and the hydrodynamic coefficients obtained from forced rigid cylinder experiments allows to predict the distributed forces accurately.

TL;DR: In this paper, the hydrodynamic coefficients of the forced vibrating cylinder, involving the steady drag coefficient C d, the excitation coefficient C l v and the added mass coefficient C m y, are obtained for the gap ratio G / d ǫ = 2-8 for an elastically mounted cylinder placed in tandem downstream of a stationary cylinder.