结合缺陷识别技术的数字图像相关方法
首发时间:2012-12-25
摘要:在实际工程测试中,经常利用数字图像相关方法对含缺陷试件的全场变形进行测试。而传统数字图像相关方法基于连续变形假设,对不连续变形的测试存在一定局限。本文在数字图像相关方法的前处理过程中,利用数字图像处理技术检测散斑图中试件缺陷边缘;在数字图像相关方法的运算过程中,依据缺陷形状及位置提出合理的子区选择方案;模拟实验表明传统数字图像相关方法中,缺陷对周围小于子区二分之一尺寸区域内的测试结果可能产生较大影响,而结合缺陷识别及多形状子区的数字图像相关方法则能较为准确的测试缺陷附近变形场;最后,利用本文方法对含圆孔缺陷的聚碳酸酯试样在单轴压缩载荷下圆孔附近的变形场进行测试,实验结果与试件实际变形一致,表明本文提出的方法一定程度上扩大了数字图像相关方法的应用范围。
关键词: 实验固体力学 数字图像处理 缺陷识别 数字图像相关 多形状子区
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Digital image correlation combined with defect recognition technology
Abstract:In many practical engineering measurements, digital image correlation (DIC) method is widely used to measure the full-field deformation of the specimen with defects. Since the conventional DIC is based on the continuum deformation hypothesis, it is used to measure the discontinuous deformation with some limitations. In this paper, digital image processing technology is used to recognize the defect edge of the specimen in the digital image before the DIC procedure, and according to the shape and the position of the defect, a reasonable selection scheme for subset was proposed in the DIC procedure. Simulation experiment has been done and results show that in the region around the defect with the half size of the subset, the measured result by conventional DIC would be greatly affected by the defect. However, DIC based on defect recognition and various shape subsets could measure the deformation of the region near the defect with a high accuracy. At last, the proposed DIC method is used to measure the deformation of the polycarbonate specimen with a circular hole defect and under the uniaxial compression. The experimental results near the defect are consistent with the actual deformation of the specimen which shows that the proposed method extends the application scope of the DIC method.
Keywords: Experimental solids mechanics digital image processing defect recognition digital image correlation (DIC) various shape subsets
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