The paper introduces a method to rectify errors caused by non-perpendicular camera settings in 2D-DIC measurements for asphalt concrete testing. It includes theoretical error analysis, numerical validation, and experimental verification. The proposed method significantly reduces measurement errors and enhances accuracy, especially when applied to assist CrackPropNet in crack propagation measurement.
Digital image correlation (DIC) is crucial for evaluating material properties like asphalt concrete. The paper highlights the challenges of non-perpendicular camera alignment and proposes a simple yet effective solution using SIFT-aided rectification. The method was validated numerically and experimentally, showcasing its reliability and accuracy in assisting CrackPropNet for crack propagation measurement.
Key points include the theoretical error analysis of non-perpendicular camera alignment effects on displacement measurements, numerical validation using synthetic images, and experimental verification during an I-FIT test. The proposed method successfully compensates for measurement errors caused by camera misalignment, enhancing the accuracy of DIC measurements in asphalt concrete testing.
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by Zehui Zhu,Im... at arxiv.org 03-01-2024
https://arxiv.org/pdf/2402.19279.pdfDeeper Inquiries