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Global-local deformation measurement of stress concentration structures using a multi-digital image correlation system

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Abstract

The digital image correlation (DIC) technique is a method of measuring the displacement and strain of the entire area of a structure by comparing surface images taken by digital cameras before and after deformation of the structure. The DIC technique is currently being spotlighted because it can overcome the weakness of conventional contact measurement methods. So far a single DIC system with one camera or two cameras has been used for most applications. However, many structures need two or more DIC systems in order to measure their deformation efficiently and precisely. For example, the stress concentration problem and the cylindrical shell buckling problem are typical applications for a multi-DIC system. This study focuses on the stress concentration problem. The paper presents a globallocal deformation measurement method with a multi-DIC system. First, a tensile test of an aluminum beam was performed and compared with the strain gage method to validate the accuracy of DIC method. Then the tensile test specimens with a hole or a notch were prepared, and one DIC system measured the local deformation near a hole or a notch and the other DIC system measured the global deformation of the specimen. The results confirmed the proposed multi-DIC technique can be applied to the stress concentration problem.

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Abbreviations

ε t :

True strain

ε e :

Engineering strain

ε pl :

Plastic strain

ε el :

Elastic strain

ε t :

Total strain

σ t :

True stress

σ e :

Engineering stress

J IC :

Critical value of fracture energy

a :

Crack length

b :

Un-crack length

B :

Thickness of the specimen

U :

Energy under the load displacement curve

W :

Width of the specimen

References

  1. W. Peters and W. Ranson, Digital imaging techniques in experimental stress analysis, Optical Engineering, 21 (1982) 427–431.

    Google Scholar 

  2. T. C. Chu, W. F. Ranson and M. A. Sutton, Applications of digital-image-correlation techniques to experimental mechanics, Experimental Mechanics, 25 (1985) 232–244.

    Article  Google Scholar 

  3. M. A. Sutton, C. Mingqi, W. H. Peters, Y. J. Chao and S. R. McNeill, Application of an optimized digital correlation method to planar deformation analysis, Image and Vision Computing, 4 (1986) 143–150.

    Article  Google Scholar 

  4. D. Zhang, X. Zhang and G. Cheng, Compression strain measurement by digital speckle correlation, Experimental Mechanics, 39 (1999) 62–65.

    Article  Google Scholar 

  5. B. K. Bay, Texture correlation: A method for the measurement of detailed strain distributions within trabecular bone, Journal of Orthopaedic Research, 13 (1995) 258–267.

    Article  Google Scholar 

  6. D. J. Chen, F. P. Chiang, Y. S. Tan and H. S. Don, Digital speckle-displacement measurement using a complex spectrum method, Appl. Opt., 32 (1993) 1839–1849.

    Article  Google Scholar 

  7. G. Gaudette, J. Todaro, I. Krukenkamp and F.-P. Chiang, Computer aided speckle interferometry: A technique for measuring deformation of the surface of the heart, Annals of Biomedical Engineering, 29 (2001) 775–780.

    Article  Google Scholar 

  8. M. Sjödahl and L. R. Benckert, Electronic speckle photography: analysis of an algorithm giving the displacement with subpixel accuracy, Appl. Opt., 32 (1993) 2278–2284.

    Article  Google Scholar 

  9. M. Sjödahl and L. R. Benckert, Systematic and random errors in electronic speckle photography, Appl. Opt., 33 (1994) 7461–7471.

    Article  Google Scholar 

  10. M. A. Sutton, W. J. Wolters, W. H. Peters, W. F. Ranson and S. R. McNeill, Determination of displacements using an improved digital correlation method, Image and Vision Computing, 1 (1983) 133–139.

    Article  Google Scholar 

  11. B. Pan, Z. Lu and H. Xie, Mean intensity gradient: An effective global parameter for quality assessment of the speckle patterns used in digital image correlation, Optics and Lasers in Engineering, 48 (2010) 469–477.

    Article  Google Scholar 

  12. J. Poissant and F. Barthelat, A novel “subset splitting” procedure for digital image correlation on discontinuous displacement fields, Experimental Mechanics, 50 (2010) 353–364.

    Article  Google Scholar 

  13. M. N. Helfrick, C. Niezrecki, P. Avitabile and T. Schmidt, 3D digital image correlation methods for full-field vibration measurement, Mechanical Systems and Signal Processing, 25 (2011) 917–927.

    Article  Google Scholar 

  14. B. Pan, H. Xie, L. Yang and Z. Wang, Accurate measurement of satellite antenna surface using 3D digital image correlation technique, Strain, 45 (2009) 194–200.

    Article  Google Scholar 

  15. V. T. Le, N. S. Ha, T. Jin, N. S. Goo and J. Kim, Thermal interaction of a circular plate-ring structure using digital image correlation technique and infrared heating system, Journal of Mechanical Science and Technology, 30 (2016) 4363–4372.

    Article  Google Scholar 

  16. T. Jin, N. S. Ha, V. T. Le, N. S. Goo and H. C. Jeon, Thermal buckling measurement of a laminated composite plate under a uniform temperature distribution using the digital image correlation method, Composite Structures, 123 (2015) 420–429.

    Article  Google Scholar 

  17. N. S. Ha, V. T. Le and N. S. Goo, Investigation of fracture properties of a piezoelectric stack actuator using the digital image correlation technique, International Journal of Fatigue, 101 (2017) 106–111.

    Article  Google Scholar 

  18. T. Lu, S. Yin, J. Zhang, J. Li and F. Wu, Rapid 360 degree imaging and stitching 3D objects using multiple precision 3D cameras, Proceedings of SPIE - The International Society for Optical Engineering (2008).

    Google Scholar 

  19. Y. Ge, B. Yin, Y. Sun and H. Tang, 3D face texture stitching based on differential coordinates, T. Edutainment, 6 (2011) 20–26.

    Google Scholar 

  20. F. Chen, X. Chen, X. Xie, X. Feng and L. Yang, Full-field 3D measurement using multi-camera digital image correlation system, Optics and Lasers in Engineering, 51 (2013) 1044–1052.

    Article  Google Scholar 

  21. X. Chen, L. Yang, N. Xu, X. Xie, B. Sia and R. Xu, Cluster approach based multi-camera digital image correlation: Methodology and its application in large area high temperature measurement, Optics & Laser Technology, 57 (2014) 318–326.

    Article  Google Scholar 

  22. J. Li, G. Yang, T. Siebert, M. F. Shi and L. Yang, A method of the direct measurement of the true stress-strain curve over a large strain range using multi-camera digital image correlation, Optics and Lasers in Engineering, 107 (2018) 194–201.

    Article  Google Scholar 

  23. ASTM D5766 / D5766M-11, Standard Test Method for Open Hole Tensile Strength of Polymer Matrix Composite Laminates, ASTM International (2011).

  24. N. S. Ha, V. T. Le, N. S. Goo and J. Y. Kim, Thermal strain measurement of Austin stainless steel (ss304) during a heating- cooling process, International Journal of Aeronautical and Space Sciences, 18 (2017) 206–214.

    Article  Google Scholar 

  25. V. T. Le, N. S. Goo and J. Y. Kim, Thermomechanical behavior of superalloy thermal protection system panel under aerodynamic heating, Journal of Spacecraft and Rockets, 56 (2019) 1432–1448.

    Article  Google Scholar 

  26. V. T. Le and N. S. Goo, Thermomechanical performance of bio-inspired corrugated core sandwich structure for a thermal protection system panel, Applied Sciences, 9 (2019) 5541.

    Article  Google Scholar 

  27. N. S. Ha, V. T. Le and N. S. Goo, Investigation of punch resistance of the Allomyrira dichtoloma beetle forewing, Journal of Bionic Engineering, 15 (2018) 57–68.

    Article  Google Scholar 

  28. M. Baltić, J. Svorcan, B. Perić, M. Vorkapić, T. Ivanov and O. Peković, Comparative numerical and experimental investigation of static and dynamic characteristics of composite plates, Journal of Mechanical Science and Technology, 33 (2019) 2597–2603.

    Article  Google Scholar 

  29. S. H. Tung, M. H. Shih and J. C. Kuo, Application of digital image correlation for anisotropic plastic deformation during tension testing, Optics and Lasers in Engineering, 48 (2010) 636–641.

    Article  Google Scholar 

  30. Techniques GOM, Aramis v5. 4 User Manual, GOM mbH. (2005).

  31. D. Kulkarni, R. Prakash, P. Talan and A. Kumar, The effect of specimen thickness on the experimental and finite element characterization of CTOD in extra deep drawn steel sheets, Sadhana, 29 (2004) 365–380.

    Article  Google Scholar 

  32. X. K. Zhu, P. Zelenak and T. McGaughy, Comparative study of CTOD-resistance curve test methods for SENT specimens, Engineering Fracture Mechanics, 172 (2017) 17–38.

    Article  Google Scholar 

  33. C. H. Liu and S. J. Chu, Physical interpretation of the J2 integral by identifying the associated crack translation, Journal of Mechanical Science and Technology, 30 (2016) 3079–3084.

    Article  Google Scholar 

  34. J. D. Landes, H. Walker and G. A. Clarke, Evaluation of Estimation Procedures used in J-lntegral Testing, J.D. Landes, J.A. Begley, G.A. Clarke (Eds.), ASTM International, West Conshohocken, PA (1979) 266–287.

  35. ASTM E813-89E01, Test Method for JIC, A Measure of Fracture Toughness, ASTM International, West Conshohocken, PA (1989).

  36. H. D. Kweon, E. J. Heo, D. H. Lee and J. W. Kim, A methodology for determining the true stress-strain curve of SA-508 low alloy steel from a tensile test with finite element analysis, Journal of Mechanical Science and Technology, 32 (2018) 3137–3143.

    Article  Google Scholar 

  37. Y. Y. Jang, I. J. Kim, N. S. Huh, K. S. Kim and Y. P. Kim, Numerical investigation of the transferability of ductile fracture behavior between thin-walled surface-cracked pipe, curved wide plate (CWP) and single edge notched tension (SENT) specimens, Journal of Mechanical Science and Technology, 33 (2019) 4233–4243.

    Article  Google Scholar 

  38. T. T. Nguyen, J. Park, S. H. Nahm and U. B. Baek, Effect of hydrogen on tensile flow and failure mechanism of low nickeltype 316L austenitic stainless steel, Journal of Mechanical Science and Technology, 33 (2019) 5843–5849.

    Article  Google Scholar 

  39. Y. Ge, B. Yin, Y. Sun and H. Tang, 3D face texture stitching based on differential coordinates, T. Edutainment, 6 (2011) 20–26.

    Google Scholar 

  40. S. Mistry and A. Patel, Image stitching using harris feature detection, International Research Journal of Engineering and Technology (IRJET), 3 (2016) 1363–1369.

    Google Scholar 

Download references

Acknowledgments

The investigation for this work was supported by the Ministry of Education Science and Technology (MEST) as a project of the “Space Core Technology Development Program” (NRFNRF- 2018M1A3A3A02065278). The authors are grateful for the financial support.

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Correspondence to Nam Seo Goo.

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Recommended by Editor Seungjae Min

Taijun Zhao graduated from Department of Mechanical Design, Manufacturing & Automation of Yianbian University of Science and Technology, China in 2015, and M.S. in the Department of Advanced Technology Fusion, Konkuk University, South Korea in 2019. His research interests are material and structural analysis and characterization.

Vinh Tung Le received his B.S. in Aeronautics from Department of Aerospace Engineering of Ho Chi Minh City University of Technology, Vietnam in 2013, and M.S. in the Department of Advanced Technology Fusion, Konkuk University, South Korea in 2015. He finished his Ph.D. defense at Konkuk University in 2019. His research interests are material and structural analysis and characterization.

Nam Seo Goo graduated from Department of Aeronautics Engineering of Seoul National University with honors in 1990, and earned M.S. and Ph.D. in Aerospace Engineering at the same university in 1992 and 1996, respectively. His Ph.D. degree was on the structural dynamics of aerospace systems. As soon as he got a Ph.D. degree, he entered the Agency for Defense Development as a Senior Researcher. After four years’ service, he moved to Kyungpook National University as a research associate. He joined Department of Aerospace Engineering in Konkuk University, Seoul, Korea in 2002, currently serving a Professor of Department of Aerospace Information Engineering as well as Department of Advanced Fusion Technology. His current research interests are structural dynamics of small systems, smart structures and materials, hot structures and opto-mechanics.

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Zhao, T., Le, V.T. & Goo, N.S. Global-local deformation measurement of stress concentration structures using a multi-digital image correlation system. J Mech Sci Technol 34, 1655–1665 (2020). https://doi.org/10.1007/s12206-020-0328-8

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