Methods for determination of deformations with the use of digital image correlation technologies

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dc.citation.epage75
dc.citation.issue2
dc.citation.spage67
dc.contributor.affiliationНаціональний університет “Львівська політехніка”
dc.contributor.affiliationLviv Polytechnic National University
dc.contributor.authorБліхарський, Я. З.
dc.contributor.authorКопійка, Н. С.
dc.contributor.authorBlikharskyy, Yaroslav
dc.contributor.authorKopiika, Nadiia
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.date.accessioned2023-04-10T08:44:31Z
dc.date.available2023-04-10T08:44:31Z
dc.date.created2021-11-11
dc.date.issued2021-11-11
dc.description.abstractОстаннім часом особливо актуальним стало питання достовірної оцінки фактичного стану будівельних конструкцій, що містяться під навантаженням і, відповідно, прийняття оптимальних проектних рішень з реконструкції та підсилення. Для отримання достовірної інформації про напружено-деформований стан конструкції, що зазнає навантаження, необхідно визначити розподіл деформацій. У деяких випадках оцінити напружено-деформований стан традиційними підходами практично неможливо. Однак методи цифрової кореляції зображень забезпечують достовірну інформацію про поля переміщень та деформації і можна застосовувати майже без обмежень. Такі підходи досить ефективні для визначення напружено-деформованого стану на гладких поверхнях та в зонах з концентраторами напружень. Метод цифрової кореляції зображень заснований на порівнянні інтенсивності розподілу спекл-картинок оптично шорстких поверхонь. Поєднання інтенсивності кореляційних піків з відповідними алгоритмами розрахунків на рівні субпікселів дає змогу отримати високу точність вимірювання за допомогою простішого обладнання порівняно з технологіями електронної інтерферометрії. Основною метою цієї роботи є детальний аналіз прийомів і методів визначення деформацій із застосуванням цифрової кореляції зображення. Стаття містить детальний огляд наявних досліджень цієї теми та опис основних принципів аналітичного обчислення оптичних даних. На основі проведеного ретельного аналізу можна стверджувати, що методи ЦКЗ є досить перспективними інноваційними технологіями, які можна використовувати для широкого спектру застосувань. Серед перспективних напрямків їх використання – діагностика, моніторинг та контроль стану будівельних конструкцій та матеріалів. Важливо зазначити, що використання методів ЦКЗ для визначення деформацій потребує використання комплексного аналітичного підходу з ітераційними алгоритмами розрахунків. Крім того, точність та ефективність можна збільшити, якщо для цього використовують спеціалізоване програмне забезпечення. Загалом кореляція цифрових зображень – це єдиний підхід, який дає змогу отримати повну інформаційну модель конструкції, що зазнає різного рівня навантаження.
dc.description.abstractIn order to obtain reliable information about the stress-strain state of the structure, subjected to loading, it is necessary to determine deformations` distribution. In some cases, it is almost impossible to assess stress-strain state with the traditional approaches. However, the DIC methods provide reliable information about the fields of displacement and deformation almost without limitations. Such approaches are rather effective for determination of the stress-strain state on smooth surfaces and in zones with stress concentrators. The DIC method is based on the comparison of the intensity of speckle pictures` distribution of optically rough surfaces. The combination of the intensities of correlation peaks with the corresponding calculation algorithms at the subpixel level makes it possible to obtain high measurement accuracy with simpler hardware compared to electronic interferometry technologies. The main purpose of this work is the detailed analysis of techniques and methods for determination of deformations with the use of digital image correlation. The article includes detailed review of existing studies of this topic and description of main principles for analytical computation of the optical data.
dc.format.extent67-75
dc.format.pages9
dc.identifier.citationBlikharskyy Y. Methods for determination of deformations with the use of digital image correlation technologies / Yaroslav Blikharskyy, Nadiia Kopiika // Theory and Building Practice. — Lviv : Lviv Politechnic Publishing House, 2021. — Vol 3. — No 2. — P. 67–75.
dc.identifier.citationenBlikharskyy Y., Kopiika N. (2021) Methods for determination of deformations with the use of digital image correlation technologies. Theory and Building Practice (Lviv), vol. 3, no 2, pp. 67-75.
dc.identifier.doihttps://doi.org/10.23939/jtbp2021.02.067
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/57932
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofTheory and Building Practice, 2 (3), 2021
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dc.relation.referencesSpringer, Cham. doi: 10.1007/978-3-319-51439-0_34
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dc.relation.referencesand Speckle Metrology. – Baltimore: Society for Experimental Mechanics, 1990. – P.49–58.
dc.relation.referencesChen, D. J., & Chiang, F. P. (1993). Computer-aided speckle interferometry using spectral amplitude fringes.
dc.relation.referencesApplied Optics, 32(2), 225–236. doi: 10.1364/AO.32.000225
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dc.relation.referencesa complex spectrum method. Applied optics, 32(11), 1839–1849. doi: doi.org/10.1364/AO.32.001839
dc.relation.referencesChen, Z., Quan, C., Zhu, F., & He, X. (2015). A method to transfer speckle patterns for digital image
dc.relation.referencescorrelation. Measurement science and technology, 26(9), 095201. doi: 10.1088/0957-0233/26/9/095201
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dc.relation.referencesInternational Digital Imaging Correlation Society (pp. 29–31). Springer, Cham. doi: 10.1007/978-3-319-51439-0_7
dc.relation.referencesCintrón, R., & Saouma, V. (2008). Strain measurements with the digital image correlation system Vic2D. System, 106, 2D.
dc.relation.referencesDenys, K., Coppieters, S., & Debruyne, D. (2017). Identification of a 3D Anisotropic Yield Surface Using a
dc.relation.referencesMulti-DIC Setup. In International Digital Imaging Correlation Society (pp. 101–104). Springer, Cham.. doi: 10.1007/978-3-319-51439-0_24
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dc.relation.referencesJones, E. M. C., Carroll, J. D., Karlson, K. N., Kramer, S. L. B., Lehoucq, R. B., Reu, P. L., & Turner, D. Z.
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dc.relation.referencesuniversity press.
dc.relation.referencesKramer, S., Reu, P., & Bonk, S. (2017). A speckle patterning study for laboratory-scale DIC experiments. In
dc.relation.referencesInternational Digital Imaging Correlation Society (pp. 33–35). Springer, Cham. doi: 10.1007/978-3-319-51439-0_8
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dc.relation.referencesj.optlaseng.2015.06.009
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dc.relation.referenceshttp://www.henindo.co.id/home/ARAMIS_EN_RevB.pdf
dc.relation.referencesPoozesh, P., Sarrafi, A., Niezrecki, C., Mao, Z., & Avitabile, P. (2017). Extracting high frequency operating
dc.relation.referencesshapes from 3D DIC measurements and phased-based motion magnified images. In International Digital Imaging
dc.relation.referencesCorrelation Society (pp. 81–83). Springer, Cham. doi: 10.1007/978-3-319-51439-0_20.
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dc.relation.referencesdeformation from surface DIC measurement. Experimental Mechanics, 58(7), 1181–1194. doi: 10.1007/s11340-018-0409-0
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dc.relation.referencesSchreier, H. W., Braasch, J. R., & Sutton, M. A. (2000). Systematic errors in digital image correlation caused
dc.relation.referencesby intensity interpolation. Optical engineering, 39(11), 2915-2921. doi: 10.1117/1.1314593
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dc.relation.referencesfor piezoelectric strains measurements. In International Digital Imaging Correlation Society (pp. 45–50). Springer,
dc.relation.referencesCham. doi: 10.1007/978-3-319-51439-0_11.
dc.relation.referencesSjodahl M. (2001) Digital speckle pattern interferometry and related techniques. Digital Speckle
dc.relation.referencesPhotography/ Ed. By P. K. Rastogi.- Chichester; John Wiley and Sons. – P. 289–336.
dc.relation.referencesSjödahl, M. (1994). Electronic speckle photography: increased accuracy by nonintegral pixel shifting.
dc.relation.referencesApplied Optics, 33(28), 6667–6673. doi: 10.1364/AO.33.006667
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dc.relation.referencesengineering, 29(2–3), 125–144. doi: 10.1016/S0143-8166(97)00081-X.
dc.relation.referencesSjödahl, M., & Benckert, L. R. (1993). Electronic speckle photography: analysis of an algorithm giving the
dc.relation.referencesdisplacement with subpixel accuracy. Applied Optics, 32(13), 2278–2284.doi: doi.org/10.1364/AO.32.002278
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dc.relation.referencesdisplacements using an improved digital correlation method. Image and vision computing, 1(3), 133–139. doi:10.1016/0262-8856(83)90064-1
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dc.relation.referencesSpringer, Cham. doi: 10.1007/978-3-319-51439-0_50
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dc.relation.referencesenBlikharskyy Ya. Z. & Kopiika N. S. Digital image correlation method for analysis of reinforced concrete
dc.relation.referencesenstructures (2020). Bulletin of Odessa State Academy of Civil Engineering and Architecture, 2020, 78, 27–33 doi: 10.31650/2415-377X-2020-78-27-33
dc.relation.referencesenBomarito, G. F., Hochhalter, J. D., Ruggles, T. J., & Cannon, A. H. (2017). Increasing accuracy and
dc.relation.referencesenprecision of digital image correlation through pattern optimization. Optics and Lasers in Engineering, 91, 73–85. doi: 10.1016/j.optlaseng.2016.11.005
dc.relation.referencesenBomarito, G. F., Ruggles, T. J., Hochhalter, J. D., & Cannon, A. H. (2017). Investigation of optimal digital
dc.relation.referencesenimage correlation patterns for deformation measurement. In International Digital Imaging Correlation Society
dc.relation.referencesen(pp. 217–218). Springer, Cham. doi: 10.1007/978-3-319-51439-0_51.
dc.relation.referencesenBracewell, R. N., & Bracewell, R. N. (1986). The Fourier transform and its applications (Vol. 31999,
dc.relation.referencesenpp. 267–272). New York: McGraw-Hill.
dc.relation.referencesenBuljac, A., Jailin, C., Mendoza, A., Neggers, J., Taillandier-Thomas, T., Bouterf, A., & Roux, S. (2020). Digital
dc.relation.referencesenvolume correlation: progress and challenges. In Advancements in Optical Methods & Digital Image Correlation in
dc.relation.referencesenExperimental Mechanics, Volume 3 (pp. 113–115). Springer, Cham. doi: 10.1007/978-3-030-30009-8_17
dc.relation.referencesenCannon, A. H., Hochhalter, J. D., Bomarito, G. F., & Ruggles, T. (2017). Micro speckle stamping: High
dc.relation.referencesencontrast, no basecoat, repeatable, well-adhered. In International Digital Imaging Correlation Society (pp. 141–143).
dc.relation.referencesenSpringer, Cham. doi: 10.1007/978-3-319-51439-0_34
dc.relation.referencesenCarter, J. L., Uchic, M. D., & Mills, M. J. (2015). Impact of speckle pattern parameters on DIC strain
dc.relation.referencesenresolution calculated from in-situ SEM experiments. In Fracture, Fatigue, Failure, and Damage Evolution, Volume 5 (pp. 119-126). Springer, Cham. doi: 10.1007/978-3-319-06977-7_16
dc.relation.referencesenChen D. J., Chiang F. P. Computer speckle interferometry, Proc. Of Intern. Confer. On Hologram interferometry
dc.relation.referencesenand Speckle Metrology, Baltimore: Society for Experimental Mechanics, 1990, P.49–58.
dc.relation.referencesenChen, D. J., & Chiang, F. P. (1993). Computer-aided speckle interferometry using spectral amplitude fringes.
dc.relation.referencesenApplied Optics, 32(2), 225–236. doi: 10.1364/AO.32.000225
dc.relation.referencesenChen, D. J., Chiang, F. P., Tan, Y. S., & Don, H. S. (1993). Digital speckle-displacement measurement using
dc.relation.referencesena complex spectrum method. Applied optics, 32(11), 1839–1849. doi: doi.org/10.1364/AO.32.001839
dc.relation.referencesenChen, Z., Quan, C., Zhu, F., & He, X. (2015). A method to transfer speckle patterns for digital image
dc.relation.referencesencorrelation. Measurement science and technology, 26(9), 095201. doi: 10.1088/0957-0233/26/9/095201
dc.relation.referencesenChen, Z., Xu, X., Wu, J., & He, X. (2017). Optimization of speckle pattern for digital image correlation. In
dc.relation.referencesenInternational Digital Imaging Correlation Society (pp. 29–31). Springer, Cham. doi: 10.1007/978-3-319-51439-0_7
dc.relation.referencesenCintrón, R., & Saouma, V. (2008). Strain measurements with the digital image correlation system Vic2D. System, 106, 2D.
dc.relation.referencesenDenys, K., Coppieters, S., & Debruyne, D. (2017). Identification of a 3D Anisotropic Yield Surface Using a
dc.relation.referencesenMulti-DIC Setup. In International Digital Imaging Correlation Society (pp. 101–104). Springer, Cham.. doi: 10.1007/978-3-319-51439-0_24
dc.relation.referencesenGreivenkamp, J. E. (1992). Phase shifting interferometers. Optical shop testing, 501–598.
dc.relation.referencesenJones, E. M. C., Carroll, J. D., Karlson, K. N., Kramer, S. L. B., Lehoucq, R. B., Reu, P. L., & Turner, D. Z.
dc.relation.referencesen(2017). Combining Full-Field Measurements and Inverse Techniques for Smart Material Testing. In International
dc.relation.referencesenDigital Imaging Correlation Society (pp. 37–39). Springer, Cham. doi: 10.1007/978-3-319-51439-0_9
dc.relation.referencesenJones, R., Wykes, C., & Wykes, J. (1989). Holographic and speckle interferometry (No. 6). Cambridge
dc.relation.referencesenuniversity press.
dc.relation.referencesenKramer, S., Reu, P., & Bonk, S. (2017). A speckle patterning study for laboratory-scale DIC experiments. In
dc.relation.referencesenInternational Digital Imaging Correlation Society (pp. 33–35). Springer, Cham. doi: 10.1007/978-3-319-51439-0_8
dc.relation.referencesenKumar, B. V., & Hassebrook, L. (1990). Performance measures for correlation filters. Applied optics, 29(20), 2997-3006.doi: 10.1364/AO.29.002997
dc.relation.referencesenLee, J., Kim, E. J., Gwon, S., Cho, S., & Sim, S. H. (2019). Uniaxial static stress estimation for concrete
dc.relation.referencesenstructures using digital image correlation. Sensors, 19(2), 319.doi: 10.3390/s19020319
dc.relation.referencesenMajumder, S., Gupta, S., & Dubey, S. (2020). Spectral imaging using compressive sensing-based singlepixel modality. Electronics Letters, 56(19), 1013–1016. doi: 10.1049/el.2020.0757
dc.relation.referencesenMazzoleni, P., Zappa, E., Matta, F., & Sutton, M. A. (2015). Thermo-mechanical toner transfer for highquality digital image correlation speckle patterns. Optics and Lasers in Engineering, 75, 72–80. doi: 10.1016/
dc.relation.referencesenj.optlaseng.2015.06.009
dc.relation.referencesenOptical 3D Deformation Analysis. ARAMIS Manual (GOM Company) Retrieved from:
dc.relation.referencesenhttp://www.henindo.co.id/home/ARAMIS_EN_RevB.pdf
dc.relation.referencesenPoozesh, P., Sarrafi, A., Niezrecki, C., Mao, Z., & Avitabile, P. (2017). Extracting high frequency operating
dc.relation.referencesenshapes from 3D DIC measurements and phased-based motion magnified images. In International Digital Imaging
dc.relation.referencesenCorrelation Society (pp. 81–83). Springer, Cham. doi: 10.1007/978-3-319-51439-0_20.
dc.relation.referencesenRossi, M., Cortese, L., Genovese, K., Lattanzi, A., Nalli, F., & Pierron, F. (2018). Evaluation of volume
dc.relation.referencesendeformation from surface DIC measurement. Experimental Mechanics, 58(7), 1181–1194. doi: 10.1007/s11340-018-0409-0
dc.relation.referencesenSaldaña, H.A., Márquez Aguilar, P.A. & Molina, O.A. (2015) Concrete Stress-Strain Characterization by
dc.relation.referencesenDigital Image Correlation, Journal of Applied Mechanical Engineering, 4 (189), 6,1–5. doi: 10.4172/2168-9873.1000189
dc.relation.referencesenSchreier, H. W., Braasch, J. R., & Sutton, M. A. (2000). Systematic errors in digital image correlation caused
dc.relation.referencesenby intensity interpolation. Optical engineering, 39(11), 2915-2921. doi: 10.1117/1.1314593
dc.relation.referencesenSegouin, V., Domenjoud, M., Bernard, Y., & Daniel, L. (2017). Development of a 2D DIC experimental tool
dc.relation.referencesenfor piezoelectric strains measurements. In International Digital Imaging Correlation Society (pp. 45–50). Springer,
dc.relation.referencesenCham. doi: 10.1007/978-3-319-51439-0_11.
dc.relation.referencesenSjodahl M. (2001) Digital speckle pattern interferometry and related techniques. Digital Speckle
dc.relation.referencesenPhotography/ Ed. By P. K. Rastogi, Chichester; John Wiley and Sons, P. 289–336.
dc.relation.referencesenSjödahl, M. (1994). Electronic speckle photography: increased accuracy by nonintegral pixel shifting.
dc.relation.referencesenApplied Optics, 33(28), 6667–6673. doi: 10.1364/AO.33.006667
dc.relation.referencesenSjödahl, M. (1998). Some recent advances in electronic speckle photography. Optics and lasers in
dc.relation.referencesenengineering, 29(2–3), 125–144. doi: 10.1016/S0143-8166(97)00081-X.
dc.relation.referencesenSjödahl, M., & Benckert, L. R. (1993). Electronic speckle photography: analysis of an algorithm giving the
dc.relation.referencesendisplacement with subpixel accuracy. Applied Optics, 32(13), 2278–2284.doi: doi.org/10.1364/AO.32.002278
dc.relation.referencesenSutton, M. A., Wolters, W. J., Peters, W. H., Ranson, W. F., & McNeill, S. R. (1983). Determination of
dc.relation.referencesendisplacements using an improved digital correlation method. Image and vision computing, 1(3), 133–139. doi:10.1016/0262-8856(83)90064-1
dc.relation.referencesenVIC-2D. Refrence Manual. Correlated Solutions. Retrieved from: http://www.correlatedsolutions.com/
dc.relation.referenceseninstalls/Vic-2D-2009-Manual.pdf
dc.relation.referencesenYamaguchi, I. (2003, May). Fundamentals and applications of speckle. In Speckle Metrology 2003
dc.relation.referencesen(Vol. 4933, pp. 1–8). International Society for Optics and Photonics. doi: 10.1117/12.516567
dc.relation.referencesenYasmeen, F., Rajan, S., Sutton, M. A., & Schreier, H. W. (2017). Experimental study of measurement errors
dc.relation.referencesenin 3D-DIC due to out-of-plane specimen rotation. In International Digital Imaging Correlation Society (pp. 211–215).
dc.relation.referencesenSpringer, Cham. doi: 10.1007/978-3-319-51439-0_50
dc.relation.referencesenZappa, E., & Hasheminejad, N. (2017). Digital image correlation technique in dynamic applications on
dc.relation.referencesendeformable targets. Experimental Techniques, 41(4), 377–387. doi: 10.1007/s40799-017-0184-3
dc.relation.urihttp://www.henindo.co.id/home/ARAMIS_EN_RevB.pdf
dc.relation.urihttp://www.correlatedsolutions.com/
dc.rights.holder© Національний університет „Львівська політехніка“, 2021
dc.rights.holder© Blikharskyy Y., Kopiika N., 2021
dc.subjectдеформації
dc.subjectцифрова кореляція зображень
dc.subjectнапружено-деформований стан
dc.subjectінформаційна модель конструкції
dc.subjectdeformations
dc.subjectdigital image correlation
dc.subjectstress-strain state
dc.subjectinformation model
dc.titleMethods for determination of deformations with the use of digital image correlation technologies
dc.title.alternativeМетоди визначення деформацій з використанням цифрової кореляції зображень
dc.typeArticle

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Theory and Building Practice. – 2021. – Vol. 3, No. 2