Monitoring based intelligent perception and prediction of vortex-induced vibration of long-span bridges: methodology and application

Abstract

With the continuous breakthrough in span and the application of lightweight and high-strength materials, bridge structures have become increasingly flexible, highlighting the issue of wind-induced vibrations. Among them, vortex-induced vibration (VIV) occurs under frequent wind conditions and is difficult to avoid entirely. This article first briefly reviews the research on bridge VIV from three perspectives: mechanism and modeling, monitoring and perception, and control and utilization. Subsequently, the focus is concentrated on the intelligent perception and prediction of bridge VIV, presenting an integral methodology system including (a) Real-time identification of VIV based on the features of structural responses; (b) Online tracking of structural state parameters when VIV occurs; (c) Assessment of driving comfort and safety during VIV based on vibration level and field of view; (d) Prediction of VIV driven by data rules and dynamical model. This technical framework covers the whole chain consisting of VIV prediction, identification, tracking, and evaluation, which can provide timely data support for bridge management and maintenance. The article utilized the VIV events of two long-span suspension bridges to demonstrate the effectiveness of the proposed methods. And some of these methods have been applied to construct a VIV monitoring system for one of the bridges and have achieved sound effects. This paper offers a relatively comprehensive technical framework and practical experience for VIV perception and prediction of long-span bridges and other engineering structures or components prone to VIV, such as cables, high-rise buildings, and offshore wind turbines.