The article discusses the assessment of the state of reinforced concrete beams using the digital image correlation method and submicron indicators. Bending elements are the most widely used in reinforced concrete structures, so the ability to accurately evaluate and use new methods that simplify the labor intensity of the process and increase the accuracy of measuring deformations and load-bearing capacity is extremely important. The purpose of the study is to evaluate both experimental and theoretical investigations of the deformation and load-bearing capacity of a reinforced concrete beam under load. As a result of the study, the values of the deformation were determined. Comparative graphs were constructed for the submicron sensor values, digital correlation results, and theoretical values obtained by the finite element method using the "LIRA" software package. The constructed diagrams show good convergence, with experimental and theoretical results values differing from theoretical ones by no more than 5%.
Eurocode 2: Design of concrete structures - Part 1-1 : General rules and rules for buildings, 2004. URL: https://www.phd.eng.br/wp-content/uploads/2015/12/en.1992.1.2.2004.pdf
Constructions of buildings and structures. Concrete and reinforced concrete structures. Basic principles. DBN V.2.6-98:2009. State Building Codes of Ukraine. (2011). Kyiv: Ministry of Regional Development and Construction of Ukraine (in Ukrainian). URL:http://interiorfor.com/wp-content/uploads/2017/01/26_98_2009.pdf.
Mykhalevskyi, N. A., Vegera, P. І., & Blikharskyi, Z. Y. (2023). The influence of damage to reinforced concrete beams on strength and deformability: the review. Theory and Building Practice, 5(1), 112-119. https://doi.org/10.23939/jtbp2023.01.112
https://doi.org/10.23939/jtbp2023.01.112
Sjölander, A., Belloni, V., Peterson, V., & Ledin, J. (2023). Experimental dataset to assess the structural performance of cracked reinforced concrete using Digital Image Correlation techniques with fixed and moving cameras. Data in Brief, 51, 109703. https://doi.org/10.3390/app15020656
https://doi.org/10.3390/app15020656
Blikharskyy, Y., Kopiika, N., Khmil, R., Blikharskyy, Z. (2024). Digital Image Correlation Pattern for Concrete Characteristics-Optimal Speckle. In: Blikharskyy, Z., Koszelnik, P., Lichołai, L., Nazarko, P., Katunský, D. (eds) Proceedings of CEE 2023. CEE 2023. Lecture Notes in Civil Engineering, vol 438. Springer, Cham. https://doi.org/10.1007/978-3-031-44955-0_3
https://doi.org/10.1007/978-3-031-44955-0_3
S. D. Ulzurrun, G., Zanuy, C. (2023). Assessment of the Bending Behaviour of RC Beams Under Impact Loads with DIC. In: Ilki, A., Çavunt, D., Çavunt, Y.S. (eds) Building for the Future: Durable, Sustainable, Resilient. fib Symposium 2023. Lecture Notes in Civil Engineering, vol 349. Springer, Cham. https://doi.org/10.1007/978-3-031-32519-9_22
https://doi.org/10.1007/978-3-031-32519-9_22
Perera, R., Huerta, C., Torres, L., Baena, M., Barris, C. (2023). Concrete Beam Screening Through DIC Images. In: Ilki, A., Çavunt, D., Çavunt, Y.S. (eds) Building for the Future: Durable, Sustainable, Resilient. fib Symposium 2023. Lecture Notes in Civil Engineering, vol 350. Springer, Cham. https://doi.org/10.1007/978-3-031-32511-3_28
https://doi.org/10.1007/978-3-031-32511-3_28
Mykhalevskyi N. A., Vegera P. І., & Blikharskyi Z. Y., (2023). The influence of damage to reinforced
concrete beams on strength and deformability: the review. Theory and Building Practice, 5(1), 112-119.
https://doi.org/10.23939/jtbp2023.01.112
https://doi.org/10.23939/jtbp2023.01.112
Deineka, V., Vegera, P., & Blikharskyi, Z. (2024). Simulation influence of uneven damage of reinforced concrete beam in LIRA-FEM. Theory and Building Practice, 6(1), 130-140. https://doi.org/10.23939/jtbp2024.01.130
https://doi.org/10.23939/jtbp2024.01.130
Pan, Cheng & Zheng, Zhiming & Yang, Yu. (2024). Crack Propagation Phenomenon in Gangue Concrete Using the Digital Image Correlation (DIC) Method. Advances in Materials Science and Engineering. 2024. 1-14. https://doi.org/10.1155/2024/7247770.
https://doi.org/10.1155/2024/7247770
Cruz, H., Aval, S. F., Dhawan, K., Pourhomayoun, M., Rodriguez-Nikl, T., & Mazari, M. (2019, July). Non-contact surface displacement measurement for concrete samples using image correlation technique. In Proceedings of the 2019 international conference on image processing, computer vision, and pattern recognition, Las Vegas, NV, USA (pp. 151-156).
Dongyang, Li & Huang, P.Y. & Chen, Zhan-Biao & Yao, Guowen & Guo, Xin & Zheng, Xiaohong & Yang, Yi. (2020). Experimental study on fracture and fatigue crack propagation processes in concrete based on DIC technology. Engineering Fracture Mechanics. 235. 107166. https://doi.org/10.1016/j.engfracmech.2020.107166.
https://doi.org/10.1016/j.engfracmech.2020.107166
Meiramov, Didar & Ju, Hyunjin & Seo, Yujae & Lee, Deuckhang. (2025). Correlation between deflection and crack propagation in reinforced concrete beams. Measurement. 240.1-15. https://doi.org/10.1016/j.measurement.2024.115527.
https://doi.org/10.1016/j.measurement.2024.115527
Yuan, Yujie & Li, Ming & Alquraishi, Abdulqader & Sun, Hongye. (2021). Experimental Study on the Novel Interface Bond Behavior between Fiber-Reinforced Concrete and Common Concrete through 3D-DIC. Advances in Materials Science and Engineering. 2021. 1-21. https://doi.org/10.1155/2021/9090348.
https://doi.org/10.1155/2021/9090348
Fayyad, Tahreer & Lees, J.. (2014). Application of Digital Image Correlation to Reinforced Concrete Fracture. Procedia Materials Science. 3. https://doi.org/10.1016/j.mspro.2014.06.256.
https://doi.org/10.1016/j.mspro.2014.06.256
Cui, Hengrui & Zeng, Z. & Zhang, H. & Yang, F.. (2024). Effect of Speckle Edge Characteristics on DIC Calculation Error. Experimental Mechanics. 64. https://doi.org/10.1007/s11340-024-01078-6
https://doi.org/10.1007/s11340-024-01078-6