Active-adaptive construction project management system based on self-organizing maps for optimization of architectural and structural solutions

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https://doi.org/10.58224/2618-7183-2025-8-2-9
This research focuses on developing and implementing an active-adaptive construction project management system based on Kohonen Self-Organizing Maps (SOM) technology. The high variability of architectural and structural solutions, complex design dynamics, and multifactorial engineering calculations in modern construction necessitate creating flexible automated management systems capable of self-regulation. The research methodology integrates cluster analysis of design characteristics, multidimensional topological mapping of structural elements, and neural network analysis using SOM algorithms. The empirical base encompasses data from 38 construction projects of various scales during 2019-2023, with a total area exceeding 4.3 million square meters. Results demonstrate a 36.4% reduction in design documentation development time, 21.7% decrease in structural material consumption, and 17.3% improvement in building energy efficiency. A strong correlation (r=0.83) was established between the degree of structural solution optimization and economic efficiency of construction projects. The developed system provides dynamic visualization of multi-parameter design solution structures, enabling real-time identification of critical contradictions and preventive correction of potentially problematic structural nodes. The research significance is confirmed by multifactorial economic implementation efficiency (ROI=2.7) and substantial reduction in construction timeframes (average 14.6%).
Ключевые слова:
active-adaptive management systems, Kohonen self-organizing maps, structural solutions optimization, construction industry, design digitalization, multidimensional data analysis, topological mapping of structures
Zabaykin Yu.V.
Candidate of Economic Sciences, Associate Professor of the Department of Automation of Technological Processes, Gubkin Russian State University of Oil and Gas
Romanova A.A.
Candidate of Economic Sciences, Researcher at the Scientific and Educational Laboratory of "Advanced Technologies", Associate Professor of the Department of Informatics and Computer Engineering of Food Production, Russian State Agrarian University – Moscow Agricultural Academy named after K.A. Timiryazev, Russian Biotechnological University (ROSBIOTECH)
Katkov Yu.N.
Candidate of Economic Sciences, Associate Professor of the Department of Economic Security and Law, Russian State Agrarian University – Moscow Agricultural Academy named after K.A. Timiryazev
Fomin A.Yu.
Candidate of Technical Sciences, Associate Professor of the Department of Technical Service of Machinery and Equipment, Russian State Agrarian University – Moscow Agricultural Academy named after K.A. Timiryazev
Apatenko A.S.
Doctor of Technical Sciences, Professor, Head of the Department of Technical Service of Machinery and Equipment, Russian State Agrarian University – Moscow Agricultural Academy named after K.A. Timiryazev
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Zabaykin Yu.V., Romanova A.A., Katkov Yu.N., Fomin A.Yu., Apatenko A.S. Active-adaptive construction project management system based on self-organizing maps for optimization of architectural and structural solutions. Construction Materials and Products. 2025. 8 (2). 9. https://doi.org/10.58224/2618-7183-2025-8-2-9