全场移位地图的低级别表示和数据压缩,用于结构模态分析和损坏识别
Yankun Li1, Yu Huang2, Ziguang Li2
1School of Astronautics, Northwestern Polytechnical University, Xi'an 710072, China.
Sensors (Basel, Switzerland)
|September 19, 2025
概括
本研究引入了一种使用立体数字图像相关 (DIC) 的结构振动测试的新方法. 它通过分析位移图和估计模式形状来改进损坏检测,以准确定位.
科学领域:
- 结构健康监测 结构健康监测
- 实验力学 实验力学 实验力学
- 振动分析 振动分析
背景情况:
- 立体数字图像相关性 (DIC) 提供无接触,全场,高分辨率的结构振动测试.
- 立体DIC的大量位移数据限制了实际使用.
- 从没有参考数据的模式形状准确地定位损伤是具有挑战性的.
研究的目的:
- 开发一种全面的方法,用于高效的结构振动分析和损坏识别.
- 为了解决数据处理和损坏定位精度在立体DIC的局限性.
- 为了实现强大的损坏检测,即使有复杂的移位场.
主要方法:
- 适应性内核函数构建用于低级别的位移图的表示.
- 增强频域分解用于噪声强度模式的形状估计.
- 从多个模式的形状中提取和合并本地形状特征,以定位损坏.
主要成果:
- 拟议的方法有效地代表了全场移位地图,保留了全球和地方特征.
- 使用内核函数实现了噪音强度模式形状估计.
- 通过数值和实验研究证明了精确的损伤定位.
- 前20个主要组件捕获了模式形状和损坏特征.
- 前六种模式提供了强大的损伤定位.
结论:
- 开发的低级表示方法增强了模式参数和损害识别.
- 该方法成功地解决了立体DIC中的数据量和准确性问题.
- 使用拟议的方法,可以实现准确而强大的损害定位.
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