[1]张 武,赵 亮,徐 琳,等.基于数字图像相关法在建筑结构变形场中的抗噪研究及应用[J].西安建筑科技大学学报(自然科学版),2021,(05):723-728.[doi:10.15986/j.1006-7930.2021.05.015 ]
 ZHANG Wu,ZHAO Liang,XU Lin,et al.Research and application of anti-noise in deformation field of building structure based on digital image correlation method[J].J. Xi'an Univ. of Arch. & Tech.(Natural Science Edition),2021,(05):723-728.[doi:10.15986/j.1006-7930.2021.05.015 ]
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基于数字图像相关法在建筑结构变形场中的抗噪研究及应用()
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西安建筑科技大学学报(自然科学版)[ISSN:1006-7930/CN:61-1295/TU]

卷:
期数:
2021年05期
页码:
723-728
栏目:
出版日期:
2021-10-25

文章信息/Info

Title:
Research and application of anti-noise in deformation field of building structure based on digital image correlation method
文章编号:
1006-7930(2021)05-0723-06
作者:
张 武1赵 亮12徐 琳1王 凡1卢 英1
(1.西安建筑科技大学 信息与控制工程学院,陕西 西安 710055; 2.西安建筑科技大学 土木工程学院,陕西 西安 710055)
Author(s):
ZHANG Wu1 ZHAO Liang12 XU Lin1WANG Fan1 LU Ying1
(1.College of Information and Control Engineering, Xi'an Univ. of Arch. & Tech., Xi'an 710055, China; 2.School of Civil Engineering, Xi'an Univ. of Arch. & Tech., Xi'an 710055, China)
关键词:
数字图像相关法 混凝土 抗噪
Keywords:
digital image concrete anti-noise
分类号:
TU528
DOI:
10.15986/j.1006-7930.2021.05.015
文献标志码:
A
摘要:
对建筑结构的变形进行测量时存在操作繁琐、易受外界影响等问题,采用数字图像相关法可以克服这些影响,但是,由于实际环境产生的噪声会影响测量结果的准确性,进而影响建筑结构变形场的分析.本文提出一种新的数字图像相关法,利用Huber函数正则化来得到建筑结构图像的灰度梯度,然后结合N-R亚像素配准算法得到亚像素位移,来提高算法的抗噪能力和稳定性.利用仿真实验验证了该方法的优越性和可靠性,并制备了混凝土试件,采用新方法获取混凝土单轴压缩下的应变场并分析了单轴压缩下试件裂纹起裂、扩展及破坏模式.结果表明:新方法具有良好的抗噪能力,可以直观地以图像的形式展现混凝土试件表面的裂纹变化,从细观角度为研究混凝土表面的裂纹演化规律和损伤特征提供了稳定有效的可视化技术.
Abstract:
When measuring the deformation of building structure, there are problems such as cumbersome operation and susceptibility to external influences. The digital image correlation method can overcome these effects, but the noise generated by the actual environment will affect the accuracy of the measurement results, and then affect the deformation field of the building structure analysis. This paper proposes a new digital image correlation method, which uses Huber function regularization to obtain the gray gradient of the architectural structure image, and then applies the N-R sub-pixel registration algorithm to obtain the sub-pixel displacement to improve the anti-noise ability and stability of the algorithm. The superiority and reliability of the proposed method were verified by simulation experiments, and concrete specimens were prepared. The strain field of concrete specimens under uniaxial compression was obtained by using the new method, and the crack initiation, propagation and failure modes of specimens under uniaxial compression were analyzed. The results show that the new method has good anti-noise ability and can visually show the crack changes on the surface of concrete specimens in the form of images. It provides a stable and effective visualization technique for studying the crack evolution law and damage characteristics of the concrete surface from a microscopic point of view.

参考文献/References:

[1] SUTTON M A, WOLTERS W J, PETERS W H, et al. Determination of displacements using an improved digital correlation method[J]. Image and Vision Computing, 1983, 1(3):133-139.
[2]SCIUTI V F, VARGAS R, CANTO R B, Hild F. Pyramidal adaptive meshing for digital image correlation dealing with cracks[J]. Engineering Fracture Mechanics,2021,256:107931.
[3]RAMOS T, Furtado A, ESLAMI S, et al. 2D and 3D digital image correlation in civil engineering measurements in a masonry wall[J].Procedia Engineering, 2015, 114: 215-222.
[4]Castro Saullo G P, Almeida Jr, José Humberto S,et al. Measuring geometric imperfections of variable-angle filament-wound cylinders with a simple digital image correlation setup[J]. Composite Structures, 2021,276:114497.
[5]Shahmirzaloo A, Farahani M, Farhang M. Evaluation of local constitutive properties of Al2024 friction stir-welded joints using digital image correlation method[J]. The Journal of Strain Analysis for Engineering Design,2021,56(7): 419-429.
[6]陈学文,白荣忍,刘佳琪,杜科学.基于数字图像相关技术的X12合金钢高温损伤模型试验验证方法[J].材料热处理学报,2021,42(8):163-169.
CHEN X W,BAI R R,LIU J Q,DU K X. High temperature damage model test verification method of X12 alloy steel based on digital image correlation technology[J]. Transactions of Materials and Heat Treatment,2021,42(8):163-169.
[7]PAN B, XIE H M, WANG Z Y, et al. Study on subset size selection in digital image correlation for speckle patterns[J]. Optics Express, 2008,16(10):7037-7048.
[8]WANG Z Y, LI H Q, TONG J W, et al. Statistical analysis of the effect of intensity pattern noise on the Displacement measurement precision of digital image correlation using self-correlated images[J]. Experimental Mechanics, 2007, 47(5): 701-707.
[9]BOMARITO G F, HOCHHALTEr J D, RUGGLES T J,et al. Increasing accuracy and precision of digital image correlation through pattern optimization[J].Optics and Lasers in Engineering,2017,91:73-85.
[10]钱伟,蒋明.数字图像相关方法中数字散斑场的制作与应用研究[J].液晶与显示,2020,35(8):861-869.
QIAN Wei, JIANG Ming. Design and application of digital speckle patterns in digital image correlation method[J].Chinese Journal of Liquid Cystals and Displays,2020,35(8):861- 869.
[11]SUTTON M A, Turner J L, BRUCK H A, et al. Full-field representation of discretely sampled surface deformation for displacement and strain analysis[J].Experimental Mechanics,1991,31(2):168-177.
[12]郑成林,何顶顶,费庆国.基于灰度梯度正则化去噪的改进数字图像相关法[J].光学学报, 2018, 38(8): 0812002.
ZHENG C L, HE D D, FEI Q G. Improved digital image correlation method based on gray gradient denoised by regularization method[J]. Acta Optica Sinica, 2018, 38(8): 0812002.
[13]闵涛,刘静.基于Huber函数的数值微分正则化方法[J].应用泛函分析学报,2019,21(3):199-207.
MIN T, LIN J. Numerical differential regularization method based on huber function[J]. Acta Analysis Functionalis Applicata,2019,21(3):199-207.
[14]ZHOU P, KENNETH E. Sub-pixel displacement and deformation gradient measurement using digital image/speckle correlation(DISC)[J]. Optical Engineering, 2001,40(8), 1613-1620.
[15]ZHANG Rui. Generalized gradient based digital image correlation method for displacement with subpixel accuracy[J]. Applied Mechanics and Materials, 2013, 444-445:168-172.
[16]LU H, CARY P D. Deformation measurement by digital image correlation: implementation of a second-order displacement gradient[J]. Experimental Mechanics, 2000, 40(4): 393-400.

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备注/Memo

备注/Memo:
收稿日期:2021-03-16修改稿日期:2021-09-22
基金项目:国家自然科学基金项目(51209167,12002251),陕西省自然科学基金资助项目(2019JM-474),西安市科技计划基金资助项目(2020KJRC0055)
第一作者:张武(1996-),男,硕士,研究方向:数字图像和智能建筑信息处理.E-mail: 2440733517@qq.com
更新日期/Last Update: 2021-10-25