东南大学学报(自然科学版)2026,Vol.56Issue(8):1108-1116,9.DOI:10.3969/j.issn.1001-0505.2026.08.002
基于视觉多点响应的结构模态识别与振型拼接方法
Structural modal identification and mode shape stitching method based on visual multi-point responses
摘要
Abstract
Traditional contact-type sensors suffer from issues such as sparse measuring points and difficulty in obtaining global mode shapes in large-scale structural health monitoring.Single vision devices are prone to mode shape fragmentation phenomenon due to the limited field of view.To solve these problems,a structural modal identification and mode shape stitching method based on visual multi-point responses was proposed.The template matching algorithm based on the zero-mean normalized cross-correlation criterion and the greyscale centroid algorithm were adopted to identify structural vibration displacements.Meanwhile,an inte-grated edge-computing visual monitoring device was developed to realize localized data processing.Through sub-regional measurement,overlapping point selection,amplitude consistency correction and global mode shape reconstruction,the complete stitching of local mode shapes in multiple regions was achieved.The re-sults show that in the clamped-clamped steel beam experiments,the first four orders of modal frequencies ex-tracted by visual monitoring are 10.22,27.46,55.35 and 87.86 Hz,respectively,and all of the relative er-rors between these results and those measured by triaxial sensors are less than 2%.The modal assurance crite-rion values range from 0.840 to 0.997,indicating that the dense-point mode shapes after stitching are highly consistent with those measured by sensors in terms of overall shape.关键词
结构健康监测/视觉监测/模态识别/振型拼接/一体化边缘计算视觉监测设备Key words
structural health monitoring/vision-based monitoring/modal identification/mode shape stitch-ing/integrated edge-computing visual monitoring device分类
建筑与水利引用本文复制引用
曲春绪,黄新超,姜金朝,伊廷华,李宏男,高昊..基于视觉多点响应的结构模态识别与振型拼接方法[J].东南大学学报(自然科学版),2026,56(8):1108-1116,9.基金项目
国家自然科学基金资助项目(52222807,52478302) (52222807,52478302)
中建股份科技研发计划资助项目(CSCEC-2025-Z-33). (CSCEC-2025-Z-33)