Flexible cylinder flow-induced vibration

In this paper, we conducted a selective review on the recent progress in physics insight and modeling of flexible cylinder flow-induced vibrations (FIVs). FIVs circular cylinders include vortex-induced (VIVs) wake-induced (WIVs), they have been center fluid-structure interaction (FSI) research past several decades due to rich engineering significance. First, summarized new understanding structural response, hydrodynamics, impact key properties for both isolated multiple cylinders. The complex FSI phenomena observed experiments numerical simulations are explained carefully via analysis vortical wake topology. Following up with critical future questions address, discussed advancement artificial intelligent machine learning (AI/ML) techniques improving FIVs. Though early stages, AL/ML shown success, including auto-identification VIV features, physics-informed neural network solving inverse problems, Gaussian process regression automatic adaptive experiments, multi-fidelity prediction accuracy quantifying uncertainties. These preliminary yet promising results demonstrated opportunities challenges today's big data era.