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M. Moj, S. Czarnecki, Ł. Sadowski, "Application of Artificial Intelligence in the Nondestructive Evaluation of Concrete Floors", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Eighteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 10, Paper 5.2, 2025,

Keywords: concrete floors, functional properties, machine learning, artificial intelligence, non-destructive testing methods, subsurface zone.

Abstract

The demand for storage and industrial spaces is constantly growing. Their proper execution is crucial to ensure functional parameters. They are to ensure trouble-free use of such space over a period of 20-50 years without the need for drastic repair work. It is important to have an experienced execution team as well as to follow the instructions and recommendations of the designer and manufacturer of materials for the execution of such a surface. The next element is the evaluation of these properties that includes a series of tests of a destructive nature, which are either performed to a very limited extent or performed on a full scale cause a certain amount of damage necessary to repair even before the use of such a floor. This work is in the nature of a scientometric analysis to determine the scope of applications of non-destructive methods and artificial intelligence as a remedy for the indicated problems in the evaluation of concrete floors. Unfortunately, despite the large-scale interest in artificial intelligence in the concrete industry as well, attention is not given to nondestructive evaluation of concrete floor properties. Determination of compressive strength and crack detection based on image analysis is an insufficient approach especially in the aspect of the subsurface layer.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 10 PROCEEDINGS OF THE EIGHTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING Edited by: P. Iványi, J. Kruis and B.H.V. Topping Paper 5.2 Application of Artificial Intelligence in the Nondestructive Evaluation of Concrete Floors M. Moj, S. Czarnecki and Ł. Sadowski Department of Materials Engineering and Construction Processes, Wroclaw University of Science and Technology, Poland Full Bibliographic Reference for this paper M. Moj, S. Czarnecki, Ł. Sadowski, "Application of Artificial Intelligence in the Nondestructive Evaluation of Concrete Floors", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Eighteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 10, Paper 5.2, 2025, Keywords: concrete floors, functional properties, machine learning, artificial intelligence, non-destructive testing methods, subsurface zone. Abstract The demand for storage and industrial spaces is constantly growing. Their proper execution is crucial to ensure functional parameters. They are to ensure trouble-free use of such space over a period of 20-50 years without the need for drastic repair work. It is important to have an experienced execution team as well as to follow the instructions and recommendations of the designer and manufacturer of materials for the execution of such a surface. The next element is the evaluation of these properties that includes a series of tests of a destructive nature, which are either performed to a very limited extent or performed on a full scale cause a certain amount of damage necessary to repair even before the use of such a floor. This work is in the nature of a scientometric analysis to determine the scope of applications of non-destructive methods and artificial intelligence as a remedy for the indicated problems in the evaluation of concrete floors. Unfortunately, despite the large-scale interest in artificial intelligence in the concrete industry as well, attention is not given to nondestructive evaluation of concrete floor properties. Determination of compressive strength and crack detection based on image analysis is an insufficient approach especially in the aspect of the subsurface layer. download the full-text of this paper (PDF, 9 pages, 938 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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