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2025 , Vol. 30 >Issue 2: 239 - 251

DOI: https://doi.org/10.1007/s12204-023-2613-z

Engieering and Technology

Adjusting Accuracy of Digital Image Correlation Through Variable Subsets and Application in Airship Envelope

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  • 1. School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200240, China; 2. Aerospace System Engineering Shanghai, Shanghai 201109, China

Accepted date: 2022-05-14

  Online published: 2025-03-21

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Abstract

The stratospheric airship is affected by harsh conditions in the stratosphere environment. To ensure the safety of the airship, it is necessary to detect the material state of the airship envelope. Since digital image correlation possesses non-contact strain measurement ability, this paper explores the influence of different shapes of the subset on measurement accuracy. Through the results, it is found that increasing the aspect ratio of subsets can improve the strain accuracy measured in the x-direction, and reducing the aspect ratio can improve the strain accuracy measured in the y-direction. This trend becomes more obvious as the strain increases. Based on this discovery, a subset adaptive algorithm is proposed. The feasibility of the algorithm is verified by experiments, and the precision of strain measurement can be effectively improved by adjusting the threshold value. Therefore, the algorithm can be utilized to increase the measurement accuracy in the larger strain direction without changing the size of the subset.

Cite this article

Zhu Fangtao, Wang Quanbao, Xie Weicheng, Duan Dengping . Adjusting Accuracy of Digital Image Correlation Through Variable Subsets and Application in Airship Envelope[J]. Journal of Shanghai Jiaotong University(Science), 2025 , 30(2) : 239 -251 . DOI: 10.1007/s12204-023-2613-z

References

[1] CROUCH T D. Airship design, development, and disaster [J]. Technology and Culture, 2014, 55(2): 501- 502.
[2] MAGNUSON S. Military seeing different applications, wider use of aerostats and airships [J]. National Defense, 2015, 99(737): 24-25.
[3] ZHAI H L, EULER A. Material challenges for lighter-than-air systems in high altitude applications [C]//AIAA 5th ATIO and 16th Lighter-Than-Air Sys Tech. and Balloon Systems Conferences. Arlington: AIAA, 2005: 7488.
[4] SUTTON M A, MCNEILL S R, HELM J D, et al. Topics in applied physics [M]. Heidelberg: Springer- Verlag, 2000.
[5] SCHREIER H, ORTEU J J, SUTTON M A. Image correlation for shape, motion and deformation measurements: Basic concepts, theory and applications [M]. Boston: Springer US, 2009.
[6] PETERS W H, RANSON W F. Digital imaging techniques in experimental stress analysis [J]. Optical Engineering, 1982, 21(3): 427-431.
[7] ARANDA A, AMIGO N, IHLE C, et al. Digital image correlation applied to the calculation of the outof- plane deformation induced by the formation of roll waves in a non-Newtonian fluid [J]. Optical Engineering, 2016, 55(6): 064101.
[8] LI B J, WANG Q B, DUAN D P. A modified digital image correlation with enhanced speed and improved accuracy [C]//4th International Conference on Optical and Photonics Engineering. Chengdu: SPIE, 2017: 531-535.
[9] FELIPE-SES′E L, L′OPEZ-ALBA E, SIEGMANN P, et al. Integration of fringe projection and twodimensional digital image correlation for threedimensional displacements measurements [J]. Optical Engineering, 2016, 55(12): 121711.
[10] CHEN J L, LIU J H, SUN C R. Residual stress measurement via digital image correlation and sharp indentation testing [J]. Optical Engineering, 2016, 55(12): 124102.
[11] JIANG Z Y, QIAN K M, MIAO H, et al. Pathindependent digital image correlation with high accuracy, speed and robustness [J]. Optics and Lasers in Engineering, 2015, 65: 93-102.
[12] PAN B, TIAN L. Superfast robust digital image correlation analysis with parallel computing [J]. Optical Engineering, 2015, 54(3): 034106.
[13] YANG J R, HUANG J W, JIANG Z Y, et al. SIFTaided path-independent digital image correlation accelerated by parallel computing [J]. Optics and Lasers in Engineering, 2020, 127: 105964.
[14] PAN B, XIE H M, WANG Z Y, et al. Study on subset size selection in digital image correlation for speckle patterns [J]. Optics Express, 2008, 16(10): 7037-7048.
[15] PAN B, LU Z X, XIE H M. Mean intensity gradient: An effective global parameter for quality assessment of the speckle patterns used in digital image correlation [J]. Optics and Lasers in Engineering, 2010, 48(4): 469-477.
[16] WANGM, CEN YW, HU X F, et al. A weighting window applied to the digital image correlation method [J]. Optics & Laser Technology, 2009, 41(2): 154-158.
[17] YUAN Y, HUANG J Y, PENG X L, et al. Accurate displacement measurement via a self-adaptive digital image correlation method based on a weighted ZNSSD criterion [J]. Optics and Lasers in Engineering, 2014, 52: 75-85.[18] HUANG J, PAN X, PENG X, et al. Digital image correlation with self-adaptive Gaussian windows [J]. Experimental Mechanics, 2013, 53(3): 505-512.
[19] ZHAO J. Deformation measurement using digital image correlation by adaptively adjusting the parameters [J]. Optical Engineering, 2016, 55(12): 124104.
[20] LIU X Y, QIN X Z, LI R L, et al. A self-adaptive selection of subset size method in digital image correlation based on Shannon entropy [J]. IEEE Access, 2020, 8: 184822-184833.
[21] RUAN J K,WANG Q B, ZHAO L Y, et al. Airship skin strain measurement based on adaptive digital image correlation [J]. Aerospace Systems, 2020, 3(3): 181- 188.
[22] BOMARITO G F, HOCHHALTER J D, RUGGLES T J, et al. Increasing accuracy and precision of digital image correlation through pattern optimization [J]. Optics and Lasers in Engineering, 2017, 91: 73-85.
[23] HILD F, ROUX S. Digital image correlation: From displacement measurement to identification of elastic properties-a review [J]. Strain, 2006, 42(2): 69-80.
[24] TONG W. An evaluation of digital image correlation criteria for strain mapping applications [J]. Strain, 2005, 41(4): 167-175.
[25] PAN B, QIAN K M, XIE H M, et al. Two-dimensional digital image correlation for in-plane displacement and strain measurement: A review [J]. Measurement Science and Technology, 2009, 20(6): 062001.
[26] PAN B, XIE H M, GUO Z Q, et al. Full-field strain measurement using a two-dimensional Savitzky-Golay digital differentiator in digital image correlation [J]. Optical Engineering, 2007, 46(3): 033601.
[27] PENG PH D, SUTTON M A, SCHREIER PH D STUDENT H W, et al. Full-field speckle pattern image correlation with B-Spline deformation function [J]. Experimental Mechanics, 2002, 42(3): 344-352.
[28] BRUCK H A, MCNEILL S R, SUTTON M A, et al. Digital image correlation using Newton-Raphson method of partial differential correction [J]. Experimental Mechanics, 1989, 29(3): 261-267.
[29] ZHOU P, GOODSON K E. Subpixel displacement and deformation gradient measurement using digital image/ speckle correlation [J]. Optical Engineering, 2001, 40(8): 1613-1620.
[30] CHEN W, JIANG Z, TANG L, et al. Equal noise resistance of two mainstream iterative sub-pixel registration algorithms in digital image correlation [J]. Experimental Mechanics, 2017, 57(6): 979-996.
[31] SHI T B, CHEN W J, GAO C J, et al. Biaxial constitutive relationship and strength criterion of composite fabric for airship structures [J]. Composite Structures, 2019, 214: 379-389.
[32] LI Y. Mechanics of materials [M]. Shanghai: Tongjiao University Press, 2010 (in Chinese).

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