Abstract
The research object is the structure of concrete, which contains pores, hydrated calcium silicate gel, and other trace elements. A microscope is used for the visual analysis of microparticles. Analysis of images from a microscope can solve the problem of estimating the number of microstructural elements in a certain area. This affects the faster search for the optimal concrete structure to improve compressive strength. Automated recognition of the main elements of the concrete structure based on microscopic images using the basic methods of computer graphics and vision is proposed. Nanoparticles of CuO or SiO2 are chosen for investigating the structure of the concrete due to their positive effect on concrete strengthening. The paper considers the influence of 1 and 2 µm resolution of the microscope for comparing the microstructure of concrete with nano-SiO2 particles. An analysis of images with CuO nanoparticles in concrete during curing is performed, and the percentage content of the main structural elements is determined. The described investigation can be used to improve methods of quality assessment of nanoconcrete, determination of resource of material, and calculation of parameter of strengthening on the basis of the investigated samples.
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Mysiuk, R. et al. (2023). Detection o f Structure Changes i n Lightweight Concrete with Nanoparticles Using Computer Vision Methods in the Construction Industry . In: Yang, XS., Sherratt, R.S., Dey, N., Joshi, A. (eds) Proceedings of Eighth International Congress on Information and Communication Technology. ICICT 2023. Lecture Notes in Networks and Systems, vol 694. Springer, Singapore. https://doi.org/10.1007/978-981-99-3091-3_27
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DOI: https://doi.org/10.1007/978-981-99-3091-3_27
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