Paper
24 July 2018 A study on under-matched measurement error in digital image correlation
Bang-Jian Li, Quan-Bao Wang, Deng-Ping Duan
Author Affiliations +
Proceedings Volume 10827, Sixth International Conference on Optical and Photonic Engineering (icOPEN 2018); 1082726 (2018) https://doi.org/10.1117/12.2500942
Event: Sixth International Conference on Optical and Photonic Engineering (icOPEN 2018), 2018, Shanghai, China
Abstract
In the classic subset-based digital image correlation (DIC) technique, the displacement measurement errors due to the shape function have been a key factor. Generally, the first-order shape function is widely employed. However, in the practical experiments, the order of the deformation of the specimen is higher than the selected shape function. So the errors due to the under-matched shape functions are presented. Although the systematic errors due to under-matched displacement mapping functions and the random errors due to matched or overmatched displacement mapping function have been examined, the root-mean-square errors (RMSE) due to under-matched shape function are still not investigated. In the paper, the root-mean-square errors of the measured displacements due to under-matched shape function are studied experimentally by using simulated speckle patterns.
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Bang-Jian Li, Quan-Bao Wang, and Deng-Ping Duan "A study on under-matched measurement error in digital image correlation", Proc. SPIE 10827, Sixth International Conference on Optical and Photonic Engineering (icOPEN 2018), 1082726 (24 July 2018); https://doi.org/10.1117/12.2500942
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KEYWORDS
Digital image correlation

Speckle pattern

Computer simulations

Error analysis

Computer engineering

Computer science

Experimental mechanics

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