柔性曲拱振动测量的双尺度数字图像相关方法
Two-scale digital image correlation method for vibration measurement of flexible curved arch
李婉培 1吕中荣 1谢培悦 1焦柯 2汪利1
作者信息
- 1. 中山大学航空航天学院,广东 深圳 518107
- 2. 广东省建筑设计研究院有限公司,广东 广州 510010
- 折叠
摘要
以柔性曲拱为研究对象,提出一种双尺度数字图像相关方法.在整数像素尺度,通过傅里叶变换快速找到变形参数的像素级初始估计;在亚像素尺度,结合像素级初始估计和逆合成高斯-牛顿迭代,得到亚像素精度的振动测量.在获得结构振动响应后,使用频域分解方法识别结构的固有频率、振型.最后,开展柔性曲拱的视觉测量实验,并辅以激光测振仪测量进行对比分析,验证了所提方法在柔性结构振动测量和模态辨识中的有效性.
Abstract
A two-scale digital image correlation method based on flexible curved arch is proposed in this paper.In integer pixel scale,the initial estimation of deformation parameters at pixel level is quickly found by Fourier transform.In sub-pixel scale,combined with pixel level initial estimation and inverse synthesis Gaussian-Newton iteration,the deformation measurement results with sub-pixel precision is obtained.After the vibration response of the structure is obtained,the natural frequency and mode of the structure are identified by frequency domain decomposition method.Finally,the visual measure-ment experiment was conducted on a flexible curved arch,supplemented by comparative analysis of laser vibration measurement,to verify the effectiveness of the proposed method in vibration measurement and modal identification of flexible structures.
关键词
数字图像相关方法/双尺度位移恢复/柔性大变形结构/模态辨识Key words
digital image correlation/two-scale displacement recovery/flexible and large deforma-tion structure/modal identification引用本文复制引用
基金项目
广东省重点领域研发计划(2022B0101080001)
国家自然科学基金(11972336)
出版年
2024
国家科技期刊平台
NSTL
万方数据