AbstractAbout AuthorsReferences
The article examines errors emerging at a design documentation examination in the context of reconstruction, where any inconsistency is amplified by existing structures, site constraints, and operational conditions. The study is for common failures at interface of project sections systematizing and proposing tools for their prevention. The methodological framework combines regulatory documents analysis and practical case studies with a risk-based approach, the correspondence matrix “section – criterion – evidence,” and usage of the digital data reflecting a facility actual condition. The research demonstrates that the most effective solution is a three-level control system: ranking of design errors by criticality, an internal quality management system with measurable correction metrics in the design organization and application of a “digital twin” based on laser scanning and BIM technologies to reduce uncertainty and project decisions coordination. Threshold levels of response based on the integrated risk indicator are presented, control points for structural schemes, foundations, and connection nodes are clarified. Quantitative parameters of model accuracy are presented, highlighting their role in ensuring the reproducibility of expert conclusions. The practical novelty is in the linkage of the management metrics and instrumental checks with transparent justifications documentation, which simplifies the prioritization of comments and reduces rework volume during approval process.
A.E. KROTOV, Candidate of Sciences (Economics) (This email address is being protected from spambots. You need JavaScript enabled to view it.),
A.E. BOROVKOVA, Master (This email address is being protected from spambots. You need JavaScript enabled to view it.),
P.A. PAVLOV, Specialist (This email address is being protected from spambots. You need JavaScript enabled to view it.),
A.V. STRELTSOV, Specialist (This email address is being protected from spambots. You need JavaScript enabled to view it.)
A.E. BOROVKOVA, Master (This email address is being protected from spambots. You need JavaScript enabled to view it.),
P.A. PAVLOV, Specialist (This email address is being protected from spambots. You need JavaScript enabled to view it.),
A.V. STRELTSOV, Specialist (This email address is being protected from spambots. You need JavaScript enabled to view it.)
National Research Moscow State University of Civil Engineering (26, Yaroslavskoe Highway, Moscow, 129337, Russian Federation)
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2. Babchuk V.I., Adamtsevich L.A. Automation of the process of passing the state examination of civil construction projects using a domestic software package. Zhilishchnoe Stroitel’stvo [Housing Construction]. 2024. No. 10, pp. 52–60. (In Russian). EDN: ZDPKAS. https://doi.org/10.31659/0044-4472-2024-10-52-60
3. Lapidus A.A., Shchukin A.Yu. Application of function-oriented modeling systems in construction control. Vestnik MGSU. 2024. Vol. 19. No. 10, pp. 1666–1675. (In Russian). EDN: BUZMCQ.
https://doi.org/10.22227/1997-0935.2024.10.1666-1675
4. Goh W., Jang J., Pak S.I., Choi B.-H., Lim H., Zi G. Automated compliance checking system for structural design codes in a BIM environment. KSCE Journal of Civil Engineering. 2024. Vol. 28. No. 10, pp. 4175–4189. EDN: INITIM.
https://doi.org/10.1007/s12205-024-1121-5
5. Komissarov A.V., Remizov A.V. Methodology for using BIM technologies and laser scanning for reconstruction and modernization of facilities. Vestnik of the Siberian State University of Geosystems and Technologies. 2022. No. 2, pp. 115–124. (In Russian). EDN: NHUFEV. https://doi.org/10.33764/2411-1759-2022-27-2-115-124
6. Wacker M., Grellert M., Stille W., Bruschke J., Beck D. IDOVIR – infrastructure for documentation of virtual reconstructions: towards a documentation practice for everyone. Heritage. 2025. Vol. 8. No. 8. 328. EDN: TIIGMY.
https://doi.org/10.3390/heritage8080328
2. Babchuk V.I., Adamtsevich L.A. Automation of the process of passing the state examination of civil construction projects using a domestic software package. Zhilishchnoe Stroitel’stvo [Housing Construction]. 2024. No. 10, pp. 52–60. (In Russian). EDN: ZDPKAS. https://doi.org/10.31659/0044-4472-2024-10-52-60
3. Lapidus A.A., Shchukin A.Yu. Application of function-oriented modeling systems in construction control. Vestnik MGSU. 2024. Vol. 19. No. 10, pp. 1666–1675. (In Russian). EDN: BUZMCQ.
https://doi.org/10.22227/1997-0935.2024.10.1666-1675
4. Goh W., Jang J., Pak S.I., Choi B.-H., Lim H., Zi G. Automated compliance checking system for structural design codes in a BIM environment. KSCE Journal of Civil Engineering. 2024. Vol. 28. No. 10, pp. 4175–4189. EDN: INITIM.
https://doi.org/10.1007/s12205-024-1121-5
5. Komissarov A.V., Remizov A.V. Methodology for using BIM technologies and laser scanning for reconstruction and modernization of facilities. Vestnik of the Siberian State University of Geosystems and Technologies. 2022. No. 2, pp. 115–124. (In Russian). EDN: NHUFEV. https://doi.org/10.33764/2411-1759-2022-27-2-115-124
6. Wacker M., Grellert M., Stille W., Bruschke J., Beck D. IDOVIR – infrastructure for documentation of virtual reconstructions: towards a documentation practice for everyone. Heritage. 2025. Vol. 8. No. 8. 328. EDN: TIIGMY.
https://doi.org/10.3390/heritage8080328
For citation: Krotov A.E., Borovkova A.E., Pavlov P.A., Streltsov A.V. Features of design documentation development and examination during reconstruction. Zhilishchnoe Stroitel'stvo [Housing Construction]. 2026. No. 6, pp. 61–64. (In Russian). https://doi.org/10.31659/0044-4472-2026-6-61-64
