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Factor assessment and piling production model for construction and restoration of buildings

https://doi.org/10.22227/1997-0935.2025.9.1401-1418

Abstract

Introduction. The relevance of the study is explained by the fact that the issues of calculation, assessment of the bearing base, and structural design of piles have been worked out in sufficient detail, while the issues of evaluating the effectiveness of pile work at the stages of new construction and various types of repairs have not been sufficiently investigated. The aim of the study is to identify the most significant factors affecting the complexity of pile foundations with the development of a model of their impact on the resulting indicator. The objective of the study is to determine and calculate the weight of factors affecting the complexity of pile work and to develop a mathematical model that takes into account the nature of the influence of the most significant factors.

Materials and methods. To achieve the goals and objectives of the study, expert assessment, statistical processing methods, and information evaluation were used, which made it possible to identify the relationship between variables and quantify their accounting.

Results. A mathematical model has been developed to assess the complexity of work in the construction of pile foundations, which makes it possible to identify the nature of the influence of significant factors on the resulting indicator. As the most rational and universal, according to the set of advantages, the study adopted the method of “pile pressing”, with the technology of work supplemented in this study.

Conclusions. The conducted study made it possible to identify and study the most significant factors affecting the efficiency of pile work. The developed mathematical model (regression equations) allowed to comprehensively take into account the degree of influence of each factor on the resulting indicator Yt (labour costs), which will allow to effectively plan the work on the construction of foundations.

About the Authors

A. A. Rudenko
Saint Petersburg State University of Architecture and Civil Engineering (SPbGASU)
Russian Federation

Aleksandr A. Rudenko — Candidate of Technical Sciences, Doctor of Economics, Professor, Professor of the Department of Construction Organization

4, 2nd Krasnoarmeyskaya st., 190005, Saint Petersburg

RSCI AuthorID: 664021, Scopus: 57224505043, ResearcherID: ABA-8121-2021



S. V. Sazonov
Saint Petersburg State University of Architecture and Civil Engineering (SPbGASU)
Russian Federation

Sergey V. Sazonov — postgraduate student of the Department of Construction Organization

4, 2nd Krasnoarmeyskaya st., 190005, Saint Petersburg



References

1. Barykin A.B., Barykin B.Yu., Zelenin E.V. Development of the calculation methodology of cross-beam foundation on the sloping base complicated by karst and sinkhole processes. Vestnik MGSU [Monthly Journal on Construction and Architecture]. 2024; 19(9):1494-1504. DOI: 10.22227/1997-0935.2024.9.1494-1504. EDN WZAJWJ. (rus.).

2. Klyuev V.D., Shchepansky S.B., Panayetova V.V., Zaitsev D.A. Analysis of the results of the implementation of the programs of the centers of competence of the national technology initiative for the first stage of its implementation. Innovatics and Expert Examination. 2022; 1(33):89-94. EDN KYUABY. (rus.).

3. Lapidus A.A., Shchukin A.Yu. Application of function-oriented modelling systems in construction control implementation. Vestnik MGSU [Monthly Journal on Construction and Architecture]. 2024; 19(10):1666-1675. DOI: 10.22227/1997-0935.2024.10.1666-1675. EDN BUZMCQ. (rus.).

4. Pshenichkina V.A., Ivanov S.Yu., Rekunov S.S., Churakov A.A. Influence of the stiffness ratio of the building and the multilayer soil foundation on the seismic response of the system. Vestnik MGSU [Monthly Journal on Construction and Architecture]. 2025; 20(2):231-245. DOI: 10.22227/1997-0935.2025.2.231-245. EDN JDNOYA. (rus.).

5. Lapidus A.A. A method of increasing labour productivity in construction. Vestnik MGSU [Monthly Journal on Construction and Architecture]. 2024; 19(8):1365-1372. DOI: 10.22227/1997-0935.2024.8.1365-1372. EDN FAHXKA. (rus.).

6. Pshenichkina V.A., Rekunov S.S., Ivanov S.Yu. Probabilistic analysis of dynamic characteristics of the “structure – layered foundation” system. News of Higher Educational Institutions. Construction. 2024; 8(788):32-43. DOI: 10.32683/0536-1052-2024-788-8-32-43. EDN XZEYVI. (rus.).

7. Pshenichkina V.A., Rekunov S.S., Ivanov S.Yu., Zhidenko A.S., Tchantchane M., Hamici S. Comparative analysis of the calculation results of the building-base system presented in the form of a layered model. Bulletin of the Volgograd State University of Architecture and Civil Engineering. The Construction and Architecture. 2023; 1(90):43-53. EDN ELCFWD. (rus.).

8. Romadanova M.M., Vager B.G. Methods for processing experimental data in modeling geophysical processes. Systems. Methods. Technologies. 2018; 2(38):70-75. DOI: 10.18324/2077-5415-2018-2-70-75. EDN UYRVTC. (rus.).

9. Safaryan G.B. A generalized model of a building system : a critical analysis. Construction: Science and Education. 2021; 11(4):41-47. DOI: 10.22227/2305-5502.2021.4.4. EDN PFGTCK. (rus.).

10. Verstov V.V., Gaido A.N., Ivanov Ya.V. Technologies for the construction of pit fencing in urban areas and water areas. St. Petersburg, Lan, 2014; 365. (rus.).

11. Ushakov L.S., Kotylev Yu.E., Kravchenko V.A. Hydraulic impact machines. Moscow, Mashinostroenie, 2000; 415. (rus.).

12. Abdulaziz M.A., Hamood M.J., Fattah M.Y. A review study on seismic behavior of individual and adjacent structures considering the soil — Structure interaction. Structures. 2023; 52:348-369. DOI: 10.1016/j.istruc.2023.03.186

13. Cheng X.X., Zhao L., Ge Y.J., Dong J., Peng Y. Full-Scale/Model Test Comparisons to Validate the Traditional Atmospheric Boundary Layer Wind Tunnel Tests : Literature Review and Personal Perspectives. Applied Sciences. 2024; 14(2):782. DOI: 10.3390/app14020782

14. Kiseleva E.V., Dambiev T.B., Stepanets V.E., Valkova S.S. Building Functional Diagram of Cargo Delivery to Describe and Research Processes in Freight Forwarding Company based on the IDEFO Standard (SADT). IOP Conference Series: Earth and Environmental Science. 2022; 988(2):022060. DOI: 10.1088/1755-1315/988/2/022060

15. Messaoudi A., Mezouar N., Hadid M., Laouami N. Effects of soil heterogeneities on its seismic responses. Lecture Notes in Civil Engineering. 2024; 221-232. DOI: 10.1007/978-3-031-57357-6_19

16. Requena-Garcia-Cruz M.V., Bento R., Durand-Neyra P., Morales-Esteban A. Analysis of the soil structure-interaction effects on the seismic vulnerability of mid-rise RC buildings in Lisbon. Structures. 2022; 38:599-617. DOI: 10.1016/j.istruc.2022.02.024

17. Sadek M., Hussein M., Chehade F.H., Arab A. Influence of soil–structure interaction on the fundamental frequency of shear wall structures. Arabian Journal of Geosciences. 2020; 13(17). DOI: 10.1007/s12517-020-05872-z

18. Shao X., Ning J., Tang R., Fang Z., Zhao B., Xu B. et al. Effect of temperature-rising inhibitor on the hydration and performance of cemented paste-filling material. Case Studies in Construction Materials. 2023; 19:e02680. DOI: 10.1016/j.cscm.2023.e02680

19. Liang T., Luo P., Mao Z., Huang X., Deng M., Tang M. Effect of Hydration Temperature Rise Inhibitor on the Temperature Rise of Concrete and Its Mechanism. Materials. 2023; 16(8):2992. DOI: 10.3390/ma16082992

20. Lapidus A.A. Organizational and technological platform of construction. Vestnik MGSU [Monthly Journal on Construction and Architecture]. 2022; 17(4):516-524. DOI: 10.22227/1997-0935.2022.4.516-524. EDN BMHWDX. (rus.).

21. Saiyan S.G., Shelepina V.B. Application of machine learning methods to predict aerodynamic pressure coefficients on rectangular buildings and structures. Vestnik MGSU [Monthly Journal on Construction and Architecture]. 2025; 20(3):381-393. DOI: 10.22227/1997-0935.2025.3.381-393. EDN OPWJDE. (rus.).

22. Alanani M., Elshaer A. ANN-based optimization framework for the design of wind load resisting system of tall buildings. Engineering Structures. 2023; 285:116032. DOI: 10.1016/j.engstruct.2023.116032

23. Bapir B., Abrahamczyk L., Wichtmann T., Prada-Sarmiento L.F. Soil-structure interaction: A state-of-the-art review of modeling techniques and studies on seismic response of building structures. Frontiers in Built Environment. 2023; 9. DOI: 10.3389/fbuil.2023.1120351

24. Berkane H.D., Harichane Z., Guellil M.E., Sadouki A. Investigation of Soil Layers Stochasticity Effects on the Spatially Varying Seismic Response Spectra. Indian Geotechnical Journal. 2019; 49(2):151-160. DOI: 10.1007/s40098-018-0301-y


Review

For citations:


Rudenko A.A., Sazonov S.V. Factor assessment and piling production model for construction and restoration of buildings. Vestnik MGSU. 2025;20(9):1401-1418. (In Russ.) https://doi.org/10.22227/1997-0935.2025.9.1401-1418

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ISSN 1997-0935 (Print)
ISSN 2304-6600 (Online)