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Paper 21.2

The prediction of the abrasion resistance of mortars modified with granite powder and fly ash using artificial neural networks

S. Czarnecki, A. Chajec, S. Malazdrewicz and L. Sadowski

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

doi:10.4203/ccc.3.21.2

S. Czarnecki, A. Chajec, S. Malazdrewicz, L. Sadowski, "The prediction of the abrasion resistance of mortars modified with granite powder and fly ash using artificial neural networks", in B.H.V. Topping, J. Kruis, (Editors), "Proceedings of the Fourteenth International Conference on Computational Structures Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 3, Paper 21.2, 2022, doi:10.4203/ccc.3.21.2

Keywords: eco-friendly cement composites, artificial neural networks, granite powder, fly ash, modelling structures.

Abstract

The paper predicts the abrasion resistance of a cementitious composite containing granite powder and fly ash replacing up to 30% of the cement weight. For this purpose, intelligent artificial neural network (ANN) models were used and compared. A database was build based on and mix composition, curing time and curing method. The model developed to predict the abrasion resistance of the cementitious composites containing granite powder and fly ash was shown to be accurate. This method can be used especially for designing cement mortars with granite powder and fly ash additives replacing cement in the range of 0% to 30% of its weight. These mortars can be used for floors in industrial buildings.

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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: 3 PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY Edited by: B.H.V. Topping and J. Kruis Paper 21.2 The prediction of the abrasion resistance of mortars modified with granite powder and fly ash using artificial neural networks S. Czarnecki, A. Chajec, S. Malazdrewicz and L. Sadowski Department of Materials Engineering and Construction Processes, Wroclaw University of Science and Technology, Wroclaw, Poland doi:10.4203/ccc.3.21.2 Full Bibliographic Reference for this paper S. Czarnecki, A. Chajec, S. Malazdrewicz, L. Sadowski, "The prediction of the abrasion resistance of mortars modified with granite powder and fly ash using artificial neural networks", in B.H.V. Topping, J. Kruis, (Editors), "Proceedings of the Fourteenth International Conference on Computational Structures Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 3, Paper 21.2, 2022, doi:10.4203/ccc.3.21.2 Keywords: eco-friendly cement composites, artificial neural networks, granite powder, fly ash, modelling structures. Abstract The paper predicts the abrasion resistance of a cementitious composite containing granite powder and fly ash replacing up to 30% of the cement weight. For this purpose, intelligent artificial neural network (ANN) models were used and compared. A database was build based on and mix composition, curing time and curing method. The model developed to predict the abrasion resistance of the cementitious composites containing granite powder and fly ash was shown to be accurate. This method can be used especially for designing cement mortars with granite powder and fly ash additives replacing cement in the range of 0% to 30% of its weight. These mortars can be used for floors in industrial buildings. download the full-text of this paper (PDF, 6 pages, 391 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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