Advanced Algorithms of Mitigating Undermatched Systematic Error in DIC

Abstract Background In complex deformation measurements, systematic errors caused by undermatched shape functions are the primary source of errors in Digital Image Correlation (DIC). There are two important ones among the current undermatched systematic error mitigation methods, Recovery method and Improved Quasi-Gauss Point (IQGP) method, that have shown effectiveness in mitigating such errors, though each has its own inherent limitations. The Recovery method is derived based on first-order shape function, while the IQGP method is setup under the assumption of the second-order displacement field in subset. Objective This study aims to extend and improve both the Recovery method and IQGP method respectively to address these limitations and enhance their applicability while comparing the performance between themselves and with other current methods. Methods As for the Recovery method, the effectiveness in mitigating undermatched systematic errors for second-order shape functions is deduced and verified, which broadens its applicability. As for the IQGP method, a new method called Zero-Error Point (ZEP) method is proposed based on the similar principles while accepting the third-order displacement assumption which basically leads to better and wider adaptability compared to the IQGP method. Other classic undermatched systematic error mitigation method and deconvolution method are also involved into analysis and discussion here. Results The extended Recovery method can now mitigate the undermatched error of second-order shape functions compare to the original one just for the first-order shape function, and the improved IQGP method based on the third-order displacement field can achieve an accuracy improvement of nearly 0.4 pixels compared to the traditional IQGP according to experiment results. Conclusion These advancements enhance the performance of undermatched systematic errors algorithms of DIC, thus improving the ability of DIC in deformation characterization under inhomogeneous deformation.

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Publication Details

Journal
Experimental Mechanics
Published
2025-11-03
DOI
https://doi.org/10.1007/s11340-025-01238-2
Citations
2
Primary Topic
Optical measurement and interference techniques
Type
article
Field-Weighted Citation Impact
2.55

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article

Advanced Algorithms of Mitigating Undermatched Systematic Error in DIC

Yiming Deng, Jiamin Xu, H. Miao, Rui Zhang et al.
2 citations
Experimental Mechanics
Optical measurement and interference techniques
2.55
article

Advanced Algorithms of Mitigating Undermatched Systematic Error in DIC

Yiming Deng, Jiamin Xu, H. Miao, Rui Zhang, Juanjuan Hu, L. L. Lai
article en
2 citations

Abstract

Abstract Background In complex deformation measurements, systematic errors caused by undermatched shape functions are the primary source of errors in Digital Image Correlation (DIC). There are two important ones among the current undermatched systematic error mitigation methods, Recovery method and Improved Quasi-Gauss Point (IQGP) method, that have shown effectiveness in mitigating such errors, though each has its own inherent limitations. The Recovery method is derived based on first-order shape function, while the IQGP method is setup under the assumption of the second-order displacement field in subset. Objective This study aims to extend and improve both the Recovery method and IQGP method respectively to address these limitations and enhance their applicability while comparing the performance between themselves and with other current methods. Methods As for the Recovery method, the effectiveness in mitigating undermatched systematic errors for second-order shape functions is deduced and verified, which broadens its applicability. As for the IQGP method, a new method called Zero-Error Point (ZEP) method is proposed based on the similar principles while accepting the third-order displacement assumption which basically leads to better and wider adaptability compared to the IQGP method. Other classic undermatched systematic error mitigation method and deconvolution method are also involved into analysis and discussion here. Results The extended Recovery method can now mitigate the undermatched error of second-order shape functions compare to the original one just for the first-order shape function, and the improved IQGP method based on the third-order displacement field can achieve an accuracy improvement of nearly 0.4 pixels compared to the traditional IQGP according to experiment results. Conclusion These advancements enhance the performance of undermatched systematic errors algorithms of DIC, thus improving the ability of DIC in deformation characterization under inhomogeneous deformation.

Experimental MechanicsVol. 66(2)
University of Science and Technology of China (CN), Michigan State University (US)
National Natural Science Foundation of China
Openalex Percentile: Top 8%
Optical measurement and interference techniques
2.55
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