DOI: 0.52150/2522-9117-2026-40-015
M. V. Pimakhov1,*, Ph. D. Student, ORCID 0009-0004-1984-5676
1 Dnipro University of Technology
* Corresponding author: Pimakhov.M.V@nmu.one
DIGITAL RECONSTRUCTION AND PREDICTION OF PHYSICAL AND MECHANICAL PROPERTIES OF DAMAGED BUILDINGS BASED ON 3D SCANNING DATA: THE “GEOMETRY + PROPERTIES” CONCEPT
Abstract. Relevance. Large-scale destruction of infrastructure in Ukraine and the need to assess the residual resource of buildings require new approaches to diagnostics that combine the speed of 3D scanning with the depth of material science analysis. Classical examination methods do not provide a complete picture of the distribution of material degradation in the structure. Purpose. To develop conceptual principles of a digital reconstruction methodology based on the integration of geometric data of 3D scanning with algorithms for predicting local physical and mechanical properties of materials (strength, elastic modulus) to create reliable computational models. Methodology. Methods of systemic analysis of defects in building materials, analytical review of non-destructive testing methods and computer modeling were applied. An approach to the correlation of visual and geometric signs of damage obtained from point clouds with changes in the microstructure and macromechanical characteristics of concrete and reinforcement was proposed. Results. Four key groups of defects identified by 3D scanning methods were determined, and their relationship with the degradation of material properties was established. The concept of “Geometry + Properties” was substantiated, which involves mapping damage fields (cracks, thermal destruction) directly onto a finite element mesh. The possibilities of integrating software packages for geometry processing (CloudCompare, Revit) with engineering analysis systems (ANSYS, LIRA-SAPR) through voxelization and parametric modeling are analyzed. Conclusions. The proposed method allows moving from visual fixation of damage to automated prediction of residual bearing capacity, taking into account the heterogeneity of material properties in damaged areas.
Key words: digital reconstruction, 3D scanning, physical and mechanical properties, concrete degradation, corrosion, FEM modeling, material.
For citation: Pimakhov, M. V. (2026). Digital reconstruction and prediction of physical and mechanical properties of damaged buildings based on 3D scanning data: the “geometry + properties” concept. Fundamental and applied problems of ferrous metallurgy, 40. 237-245. https://doi.org/10.52150/2522-9117-2026-40-015
References
1. Klimenko, V. Z., & Bielov, I. D. (2015). Vyprobuvannia konstruktsii, obstezhennia ta monitorynh budivel i sporud. Kondor. Available from: https://pdf.lib.vntu.edu.ua/books/2022/Klimenko_2015_572.pdf
2. Mengiste, E., Garcia de Soto, B., & Hartmann, T. (2023). Automated integration of as-is point cloud information with as-planned BIM for interior construction. International Journal of Construction Management, https://doi.org/10.1080/15623599.2023.2211487
3. Yu, X., Shi, C., Wei, J., & Duan, L. (2017). Whole-process crack width prediction of reinforced concrete structures considering bonding deterioration. Engineering Structures. https://doi.org/10.1016/j.engstruct.2017.03.060
4. Zonouz, S. M., Badarne, D., & Yu, H. (2023). 3D vision-based structural masonry damage detection. arXiv:2308.16380. https://doi.org/10.48550/arXiv.2308.16380
5. Xu, Y., & Stilla, U. (2021). Toward Building and Civil Infrastructure Reconstruction From Point Clouds: A Review on Data and Key Techniques. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS). https://doi.org/10.1109/JSTARS.2021.3060568
6. Jia, J., Gao, J., Wang, W., Ma, L., Li, J., & Zhang, Z. (2022) An Automatic Generation Method of Finite Element Model Based on BIM and Ontology. Buildings, 12(11), 1949. https://doi.org/10.3390/buildings12111949
Рукопис надійшов до редакції / Received 18.02.2026
Рекомендовано до друку / Accepted 28.05.2026
Опубліковано / Published 30.05.2026
