A review of flow-induced vibration in wind and oceanic flow: Mechanisms, applications, optimizations, and challenges

This paper provides a comprehensive review of the latest advancements in flow-induced vibration (FIV) and its two primary applications: vibration suppression and energy harvesting. The focus is on the interrelationship between the underlying mechanisms and these applications. First, key factors such as mass ratio, damping ratio, Reynolds number, and stiffness are examined for their influences on vibration response, with attention to recent advancements in the understanding of vortex-induced vibration (VIV), galloping, buffeting, and flutter. Second, the paper reviews modeling methods for FIV, with particular emphasis on the non-conformal mesh method and the integration of machine learning. The latest optimization strategies for both vibration suppression and energy harvesting are then explored, alongside the challenges associated with each. FIV energy harvesters are categorized based on the working fluid—wind (FIVEHW) and oceanic flow (FIVEHO)—highlighting the effects of flow density (mass ratio) and the unpredictability of flow direction and velocity on the selection of energy transducers, energy evaluation criteria and output scales. Optimization methods for vibration inhibition and energy harvesting are divided into two main categories: (1) direct methods, which directly modify the dynamic behavior governed by the FIV motion equation through the alteration of structural parameters (e.g., stiffness and damping), and the introduction of nonlinearity and multi-stabilities; (2) indirect methods, which regulate flow separation and vortex shedding to control vibration amplitude via geometric modifications (e.g., cross-sectional shapes, surface attachments, and surface roughness), jetting and blowing techniques, and the optimization of multiple oscillators for wake stabilization or wake interference. The paper concludes with a summary and discussion of the current state of the field, identifying existing capabilities and limitations and recommending areas for future research to address remaining gaps.