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作 者:王长林 朱高亮 钟永腾 WANG Chang-lin;ZHU Gao-liang;ZHONG Yong-teng(School of Information Technology,Jiangsu Open University,Jiangsu Nanjing 210003,China;College of Mechanical and Electrical Engineering,Wenzhou University,Zhejiang Wenzhou 325035,China)
机构地区:[1]江苏开放大学信息工程学院,江苏南京210003 [2]温州大学机电工程学院,浙江温州325035
出 处:《机械设计与制造》2024年第10期53-56,66,共5页Machinery Design & Manufacture
基 金:国家自然科学基金青年科学基金项目(51505339)。
摘 要:结合稀疏与密集传感器阵列在Lamb波损伤监测优势,利用有限元技术提出阵列虚拟稀疏特征驱动下的复合材料板损伤区域快速定位方法。首先,基于稀疏阵列布置与有限元仿真的思想,将监测结构离散成若干个子区域,定义每个子区域的节点为被监测结构的稀疏点,建立每个稀疏点相对于传感器阵列的波达时间特性,即Lamb波阵列虚拟稀疏特征。其次,基于密集阵列的信号空间构造思想,建立实测信号的波达时间的导向矢量矩阵,并与虚拟稀疏特征库进行相似度比较,快速地定位损伤区域。玻璃纤维复合材料层合板的仿真结果表明该方法能快速准确地定位出损伤区域。Due to the advantages of sparse and dense sensor arrays in Lamb wave based damage monitoring,this paper proposed an array virtual sparse features based damage location method using finite element technique.Firstly,the monitored structure was discretized into several sub-regions and their nodes in each sub-region were defined as sparse points,then the time-of-arrival(TOA)from each sparse point to the sensor array are obtained and constructed as a sparse array features library using finite element simulation.Secondly,based on the signal space construction idea of dense array,the TOA vector of measured signal is established.Finnally,the damage area can be quickly located by comparing the measured vector with the virtual sparse characteristics library.The simulation results on glass fiber composite laminates show that the method can quickly and accurately locate the damage area.
关 键 词:损伤区域定位 复合材料板 Lamb波阵列 虚拟稀疏特征
分 类 号:TH16[机械工程—机械制造及自动化]
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