基于Lamb波和贝叶斯框架下融合算法的铝板损伤定位方法  

Aluminum Plate Damage Localization Method Based on Lamb Wave and Bayesian Fusion Algorithm

作　　者：李天梁 吕文丽 谭跃刚[1] LI Tianliang;LV Wenli;TAN Yuegang(School of Mechanical and Electronic Engineering,Wuhan University of Technology,Wuhan 430070,China)

机构地区：[1]武汉理工大学机电工程学院,湖北武汉430070

出　　处：《数字制造科学》2024年第2期106-110,共5页

基　　金：国家自然科学基金资助项目(52275541)

摘　　要：铝板在工业领域广泛应用,对其健康状态的有效监测是保证安全生产的重要举措。针对机械装备服役过程中铝板产生的早期裂纹损伤,提出了一种基于Lamb波和贝叶斯框架下融合算法的铝板损伤定位方法。基于瑞利方程绘制出Lamb波在铝板中的频散曲线,确定了Lamb波的最佳激发频率。基于ABAQUS仿真和实验验证了算法的可行性和有效性。实现了500 mm×500 mm×1 mm铝板上25 mm裂纹的有效定位,裂纹端点定位的绝对误差在11.5 mm内,相对误差在2.2%以内,为大型设备裂纹损伤的精准定位提供了一种可行方法。Aluminum plates are widely used in the industrial applications,facilitating effective health monitoring to ensure safe production.This paper proposes a damage localization method for aluminum plates using Lamb waves and a Bayesian fusion algorithm.The Rayleigh equation is used to plot the dispersion curve of Lamb wave and determine the optimal excitation frequency.ABAQUS simulations and experiments verify the algorithm’s feasibility,achieving effective localization of 25mm cracks in 500mm×500mm×1mm aluminum plates,with an absolute error within 11.5mm,and a relative error within 2.2%.This method offers a viable solution for accurately locating crack damage in large equipment.

关 键 词：Lamb波成像 贝叶斯框架 损伤识别 

分 类 号：TB551[理学—物理]