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柔性曲拱振动测量的双尺度数字图像相关方法OA北大核心CSTPCD

Two-scale digital image correlation method for vibration measurement of flexible curved arch

中文摘要英文摘要

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.

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.

李婉培;吕中荣;谢培悦;焦柯;汪利

中山大学航空航天学院,广东 深圳 518107广东省建筑设计研究院有限公司,广东 广州 510010

力学

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

digital image correlationtwo-scale displacement recoveryflexible and large deforma-tion structuremodal identification

《中山大学学报(自然科学版)(中英文)》 2024 (002)

重力驱动下圆球颗粒在流体中自由运动的团聚行为和自相似结构

108-114 / 7

广东省重点领域研发计划(2022B0101080001);国家自然科学基金(11972336)

10.13471/j.cnki.acta.snus.2023B064

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