Passive Detection of Ice Formation on Tubular Structures Based on Flow-Induced Vibration

Compared with active methods, passive methods for structural health monitoring can be used in some scenarios where it is difficult to access or use excitation equipment. This paper focuses on the detection of ice layer in tubular structures and estimation of ice thickness. It utilizes ambient noise to excite guided waves in the structure, and performs cross-correlation extraction on aluminum pipe with ice accretion on the inner wall based on the collected signals, then reconstructs the dispersion curve. The thickness of the ice layer in the aluminum pipe is estimated by the error between the theoretical dispersion curve and the experimental values. The presence of an ice layer increases the attenuation of energy during the propagation of guided waves. This provides a criterion for detecting icing in tubular structures.