文献类型：期刊文献

中文题名：基于导波频散回溯与稀疏贝叶斯学习的金属筒体结构裂纹定位方法研究

英文题名：Study on crack localization method for metal cylindrical structures based on guided wave dispersion backtracking and sparse Bayesian learning

作者：王佳硕[1];周邵萍[1];罗瑞昌[1];程经纬[2];罗志[1]

机构：[1]华东理工大学机械与动力工程学院,上海200237;[2]合肥通用机械研究院有限公司,合肥230031

年份：2025

卷号：42

期号：9

起止页码：60

中文期刊名：压力容器

外文期刊名：Pressure Vessel Technology

收录：;北大核心:【北大核心2023】；

基金：国家重点研发计划项目(2021YFB400800);国家自然科学基金项目(52175137,52205151)。

语种：中文

中文关键词：金属筒体结构;裂纹检测;超声导波;频散回溯;稀疏贝叶斯学习

外文关键词：metal cylindrical structures;crack detection;ultrasonic guided waves;dispersion backtracking;sparse Bayesian learning

摘要：针对超声导波检测中频散效应导致的信号畸变及传统成像算法易产生伪像的问题,提出一种融合频散回溯与稀疏贝叶斯学习的裂纹定位方法。该方法基于频散回溯实现导波信号的频散补偿与波包飞行距离提取,并引入基于实测信号的频散曲线校正策略,以修正模型与实际结构之间的偏差;同时,通过稀疏贝叶斯学习融合多路径信息,求解损伤坐标。在实验室筒体及储氢气瓶金属内胆上进行的试验验证表明,该方法可实现金属筒体裂纹的高精度定位,定位误差可低至1.5%;此外,结合方形传感器阵列布置,增强了对缺陷方向变化的适应能力,拓展了其工程适用场景。研究为压力容器等关键设备的结构安全评估提供了可靠的技术手段。
To address the signal distortion caused by dispersion effects in ultrasonic guided wave testing and the tendency of traditional imaging algorithms to generate artifacts,a crack localization method integrating dispersion backtracking and sparse Bayesian learning is proposed.This method achieves dispersion compensation and wave packet travel distance extraction of guided wave signals based on dispersion backtracking,and introduces a dispersion curve correction strategy based on measured signals to rectify the deviation between the model and the actual structure.Meanwhile,sparse Bayesian learning is employed to fuse multipath information and solve for damage coordinates.Experimental validation on laboratory cylindrical structures and metal liners of hydrogen storage cylinders demonstrates that this method can achieve high?precision localization of cracks in metal cylindrical structures,with localization errors as low as 1.5%.Furthermore,combined with a square sensor array layout,it enhances adaptability to variations in defect orientation and expands its engineering applicability.This study provides a reliable technical approach for structural safety assessment of critical equipment such as pressure vessels.