声学
声发射
情态动词
到达时间
结构健康监测
到达时间
多向性
可靠性(半导体)
色散(光学)
声源定位
平面的
计算机科学
模态分析
半径
材料科学
到达方向
导波测试
复合材料层合板
状态监测
模态试验
群速度
到达角
指向性
工程类
结构工程
波传播
兰姆波
各向异性
质点速度
面子(社会学概念)
传感器阵列
模式(计算机接口)
复合数
平面波
保险丝(电气)
有限元法
复合板
作者
Wei Li,Bowen Duan,Peng Jiang
标识
DOI:10.1088/2631-8695/ae05e9
摘要
Abstract Composite materials have become increasingly vital in modern industry due to their exceptional corrosion resistance and high strength-to-weight ratio. However, under varying environmental conditions and mechanical loading, these materials are prone to progressive damage and failure, making early detection and maintenance critical. Traditional acoustic emission (AE) analysis methods face significant limitations in damage monitoring due to the anisotropic nature of composites, which leads to severe modal dispersion in acquired signals and complicates mode identification. These challenges undermine the accuracy and reliability of conventional source localization techniques.To address these issues, this study proposes a novel AE source localization method that combines modal arrival time and wave velocity analysis. The approach leverages time difference of arrival (TDOA) and modal wave velocity data captured by a three-sensor array to determine both the angular direction and precise planar coordinates of AE sources. Experimental validation demonstrates that the proposed method achieves high localization accuracy within a 350 mm radius from the sensor array center. These findings advance the capability for real-time structural health monitoring in composite structures, offering improved diagnostic precision for industrial applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI