Abstract
Artificial Neural Network (ANN) analysis has been established to forecast the Water/Cement (w/c) ratio values of cement pastes by using image analysis techniques in the scope of this study. W/c ratio values have reasonably great effects on the performance of cement based structural members. The service life or ultimate performances such as strength and durability characteristics are strongly affected by w/c ratios of cementitious materials. In this study, the relationship between microstructural phases such as unhydrated cement part, hydration products, capillary porosity, and w/c ratios predicted by ANN analysis, has been established. The predicted values are compared with estimated values obtained by proposed method in the literature. The study indicated that, using a contemporary data analysis technique, which is capable of searching nonlinear relationships more thoroughly, would result in more realistic prediction of the w/c ratios compared to the proposed method.
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Ozturk, A.U., Onal, O. Identification of water/cement ratio of cement pastes, basing on the microstructure image analysis data and using artificial neural network. KSCE J Civ Eng 17, 763–768 (2013). https://doi.org/10.1007/s12205-013-0156-9
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DOI: https://doi.org/10.1007/s12205-013-0156-9