Airborne strain testing techniques based on digital speckle images

Jinxing Wu; Rong Yan; Tielin Li; Hong Li

doi:10.1117/12.3017705

15 January 2024 Airborne strain testing techniques based on digital speckle images

Jinxing Wu, Rong Yan, Tielin Li, Hong Li

Proceedings Volume 12983, Second International Conference on Electrical, Electronics, and Information Engineering (EEIE 2023); 129831B (2024) https://doi.org/10.1117/12.3017705
Event: Second International Conference on Electrical, Electronics, and Information Engineering (EEIE 2023), 2023, Wuhan, China

Abstract

This paper introduces the importance of airborne strain testing and the limitations of existing methods. To address the problem of traditional contact measurement that may affect the test position and installation, an airborne strain measurement method based on digital speckle images is proposed. This method utilizes an optical measurement system and image processing algorithm to calculate the strain value, which has the advantages of non-contact and high precision. The maximum value of non-linearity error for this measurement method is 0.56%, a reduction of 5.1% compared to the conventional measurement method. The application of this technology will help improve the safety and economy of aircraft.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jinxing Wu, Rong Yan, Tielin Li, and Hong Li "Airborne strain testing techniques based on digital speckle images", Proc. SPIE 12983, Second International Conference on Electrical, Electronics, and Information Engineering (EEIE 2023), 129831B (15 January 2024); https://doi.org/10.1117/12.3017705

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