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M. Moj, S. Czarnecki and Ł. Sadowski

Department of Materials Engineering and Construction Processes, Faculty of Civil Engineering, Wroclaw University of Science and Technology, Poland

doi:10.4203/ccc.9.14.2

M. Moj, S. Czarnecki, Ł. Sadowski, "Recent Trends in Using Artificial Intelligence in Evaluating Functional Properties of Industrial Concrete Floors", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Fifteenth International Conference on Computational Structures Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 9, Paper 14.2, 2024, doi:10.4203/ccc.9.14.2

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

Abstract

Concrete floors are among the most commonly used solutions in industrial facilities. Their role is crucial during the operation of the facility hence the series of requirements that such a floor must meet. Ways of assessing the functional properties of concrete floors are often time-consuming and generate damage to the floor, which is in constant use. This article presents the main directions of interest related to the examination of concrete floors using non-destructive methods and artificial intelligence. Particular interest in prediction of concrete compressive strength and deficiencies in the comprehensive solution of concrete floor issues are noted. Research gaps were pointed out and potential directions for the development of activities related to modern solutions were identified, especially in the evaluation of functional properties of industrial floors.

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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: 9 PROCEEDINGS OF THE FIFTEENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY Edited by: P. Iványi, J. Kruis and B.H.V. Topping Paper 14.2 Recent Trends in Using Artificial Intelligence in Evaluating Functional Properties of Industrial Concrete Floors M. Moj, S. Czarnecki and Ł. Sadowski Department of Materials Engineering and Construction Processes, Faculty of Civil Engineering, Wroclaw University of Science and Technology, Poland doi:10.4203/ccc.9.14.2 Full Bibliographic Reference for this paper M. Moj, S. Czarnecki, Ł. Sadowski, "Recent Trends in Using Artificial Intelligence in Evaluating Functional Properties of Industrial Concrete Floors", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Fifteenth International Conference on Computational Structures Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 9, Paper 14.2, 2024, doi:10.4203/ccc.9.14.2 Keywords: concrete floors, functional properties, prediction, machine learning, artificial intelligence, non-destructive testing methods. Abstract Concrete floors are among the most commonly used solutions in industrial facilities. Their role is crucial during the operation of the facility hence the series of requirements that such a floor must meet. Ways of assessing the functional properties of concrete floors are often time-consuming and generate damage to the floor, which is in constant use. This article presents the main directions of interest related to the examination of concrete floors using non-destructive methods and artificial intelligence. Particular interest in prediction of concrete compressive strength and deficiencies in the comprehensive solution of concrete floor issues are noted. Research gaps were pointed out and potential directions for the development of activities related to modern solutions were identified, especially in the evaluation of functional properties of industrial floors. download the full-text of this paper (PDF, 10 pages, 800 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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