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Review of research progress and development trend of digital image correlation

Xindang He (Department of Engineering Mechanics, School of Mechanics Civil Engineering and Architecture, Northwestern Polytechnical University, Xi'an, China)
Run Zhou (AVIC Aircraft Strength Research Institute, Xi'an, China) (School of Mechanics Civil Engineering and Architecture, Northwestern Polytechnical University, Xi'an, China)
Zheyuan Liu (School of Mechanics Civil Engineering and Architecture, Northwestern Polytechnical University, Xi'an, China)
Suliang Yang (School of Mechanics Civil Engineering and Architecture, Northwestern Polytechnical University, Xi'an, China)
Ke Chen (School of Mechanics Civil Engineering and Architecture, Northwestern Polytechnical University, Xi'an, China)
Lei Li (Department of Engineering Mechanics, Northwestern Polytechnical University, Xi'an, China)

Multidiscipline Modeling in Materials and Structures

ISSN: 1573-6105

Article publication date: 28 November 2023

Issue publication date: 29 January 2024

253

Abstract

Purpose

The purpose of this paper is to provide a comprehensive review of a non-contact full-field optical measurement technique known as digital image correlation (DIC).

Design/methodology/approach

The approach of this review paper is to introduce the research pertaining to DIC. It comprehensively covers crucial facets including its principles, historical development, core challenges, current research status and practical applications. Additionally, it delves into unresolved issues and outlines future research objectives.

Findings

The findings of this review encompass essential aspects of DIC, including core issues like the subpixel registration algorithm, camera calibration, measurement of surface deformation in 3D complex structures and applications in ultra-high-temperature settings. Additionally, the review presents the prevailing strategies for addressing these challenges, the most recent advancements in DIC applications across quasi-static, dynamic, ultra-high-temperature, large-scale and micro-scale engineering domains, along with key directions for future research endeavors.

Originality/value

This review holds a substantial value as it furnishes a comprehensive and in-depth introduction to DIC, while also spotlighting its prospective applications.

Keywords

Acknowledgements

The authors gratefully acknowledge the support of the National Natural Science Foundation of China (Grant No.52175149), 2022 Northwestern Polytechnical University “Curriculum Ideology and Politics” Demonstration Project (Jiaozi [2022] No.13) and 2022 Graduate Education Research Fund Project of Northwestern Polytechnical University (No.2022AJ10).

This research did not receive any specific grant from funding agencies in the public, commercial or not-for-profit sectors.

Citation

He, X., Zhou, R., Liu, Z., Yang, S., Chen, K. and Li, L. (2024), "Review of research progress and development trend of digital image correlation", Multidiscipline Modeling in Materials and Structures, Vol. 20 No. 1, pp. 81-114. https://doi.org/10.1108/MMMS-07-2023-0242

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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