Experimentally Achievable Accuracy Using a Digital Image Correlation Technique in measuring Small-Magnitude (<0.1%) Homogeneous Strain Fields.
Experimentally Achievable Accuracy Using a Digital Image Correlation Technique in measuring Small-Magnitude (<0.1%) Homogeneous Strain Fields.
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DOI：
10.3390/ma11050751
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发表时间：
2018-05-08
期刊：
影响因子：
--
通讯作者：
Baleani M
中科院分区：
文献类型：
--
作者：
Acciaioli A;Lionello G;Baleani M
由于应变图中的信噪比，使用数字图像相关（DIC）技术测量小幅度应变场具有挑战性。在这里，我们确定了测量小幅度（<0.1%）均匀应变场可达到的精度水平。我们研究了不同的参数集的图像处理和成像预选，单图像噪声水平的基础上。通过将杨氏模量（E）和泊松比（ν）与从应变计测量获得的值进行比较来评估DIC的真实性。通过实验确定的最佳参数和图像预选择，重复性平均提高了20-25%。尽管如此，应变片测量的样本内和样本间重复性分别比DIC好5倍和2.5倍。此外，尽管真实度也得到了提高，平均提高了30- 45%，DIC始终高估了两个材料参数，分别为E和ν 1.8%和3.2%。DIC是测量小幅度均匀应变场的合适选择，同时考虑到可实现精度的限制。
Measuring small-magnitude strain fields using a digital image correlation (DIC) technique is challenging, due to the noise-signal ratio in strain maps. Here, we determined the level of accuracy achievable in measuring small-magnitude (<0.1%) homogeneous strain fields. We investigated different sets of parameters for image processing and imaging pre-selection, based on single-image noise level. The trueness of DIC was assessed by comparison of Young’s modulus (E) and Poisson’s ratio (ν) with values obtained from strain gauge measurements. Repeatability was improved, on average, by 20–25% with experimentally-determined optimal parameters and image pre-selection. Despite this, the intra- and inter-specimen repeatability of strain gauge measurements was 5 and 2.5 times better than DIC, respectively. Moreover, although trueness was also improved, on average, by 30–45%, DIC consistently overestimated the two material parameters by 1.8% and 3.2% for E and ν, respectively. DIC is a suitable option to measure small-magnitude homogeneous strain fields, bearing in mind the limitations in achievable accuracy.
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