首页|基于可靠子区数字图像相关方法的裂纹位移场测量

基于可靠子区数字图像相关方法的裂纹位移场测量

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裂纹位移场测量是数字图像相关(DIC)方法应用面临的难题之一.可靠子区DIC方法充分结合了尺度不变特征转换(SIFT)特征匹配和DIC方法的优势,通过SIFT特征匹配选择DIC方法中的子区(可靠子区),这种子区的相关运算不易受到裂纹的影响.在该方法中,测点的变形参数通过其周围多个可靠子区中心点位移拟合得到.裂纹附近位移场具有非连续性,在拟合时采用连续型拟合函数,会使得裂纹附近测点的位移测量存在较大的误差.针对这种情况,本文采用对拟合区域内的可靠子区中心点进行分类的方法降低误差.在分类时,首先,通过位移变异系数判断拟合区域内是否包含裂纹.然后,通过位移极值比较方法对包含裂纹的拟合区域内的可靠子区中心点进行分类.最后,选择合适的一类数据点进行拟合获取测点变形参数.与此同时,采用Ⅰ型裂纹模拟散斑图实验和相似材料单轴压缩实验验证了可靠子区DIC方法的有效性.结果表明,对于裂纹位移场测量,可靠子区DIC方法具有较高的精度和可靠性.
Crack displacement field measurement based on the reliable subset digital image correlation method
Crack displacement field measurement is one of the challenges in the application of digital image correlation(DIC)methods.The reliable subset DIC method combines the advantages of SIFT feature matching and DIC method.Subsets(reliable subsets)in the DIC method here are selected by SIFT feature matching.The correlation operations of these subsets are not easily affected by cracks.In this method,the deformation parameters of points of interest(POIs)are obtained by fitting displacements of the center points of reliable subsets around them.The displacement field near the crack has discontinuity,which can lead to significant errors in displacement measurements of POIs near the crack by use of a continuous fitting function.A method of classifying reliable subset center points within fitting regions is used to reduce the errors.Firstly,displacement variation coefficients were used to determine whether there were cracks in fitting regions before classifying.Then,reliable subset center points in fitting regions with cracks were classified by the displacement extremum comparison method.Finally,deformation parameters of POIs were obtained by fitting a suitable type of data points.The effectiveness of the RS-DIC method was verified by a simulation speckle pattern experiments of mode Ⅰ crack and a uniaxial compression experiment of similar material.The results indicate that the RS-DIC method has high accuracy and reliability for crack displacement field measurement.

digital image correlation methodcrackdisplacement field measurementreliable subsetdata classification

董伟、赵广臣、施天威、张海东、毛镪

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山西工程技术学院土木工程系,山西阳泉 045000

辽宁大学灾害岩体力学研究所,辽宁沈阳 110000

数字图像相关方法 裂纹 位移场测量 可靠子区 数据分类

2024

实验力学
中国力学学会 中国科技大学

实验力学

CSTPCD北大核心
影响因子:0.522
ISSN:1001-4888
年,卷(期):2024.39(6)