基于导波频散补偿的多腐蚀损伤无基线智能检测方法研究OA北大核心CSTPCD

Corrosion damage is an inevitable issue during the service life of pressure vessels,significantly compromising their safe operation and introducing substantial hidden dangers to industrial production.Traditional guided wave detection technology for internal pressure vessel damage encounters issues such as unstable baseline data and fails to consider the influence of guided wave signal dispersion,often resulting in low positioning accuracy.A multi-corrosion damage detection method based on guided wave dispersion compensation and the Dung-Beetle-Optimizer intelligent algorithm for detecting internal corrosion damage is proposed in pressure vessels.The effectiveness and reliability of the proposed method were validated through experiments conducted in both laboratory and factory settings,with maximum positioning deviations of 5.16 mm(0.4%)and 8.35 mm(0.7%),respectively.This method enables high-precision detection of multiple damages in in-service pressure vessels and holds significant potential for applications in the safety performance evaluation of pressure vessels.