An innovative approach for compressive strength estimation of mortars having calcium inosilicate minerals

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There are several factors that can affect on the quality of construction and all of the using elements, such asmortars, as a basic component of the building industry, are effective in the ability and performance of thebuilding. Therefore, determination of strength of mortar is an important property in construction and manystudies have been done to identify the effective parameters and the predictive relationships to determine thestrength of mortars. In this paper, the effect of two types of materials including micro-Silica and also CalciumInosilicate minerals on the compressive strength of mortars has been investigated by artificial neural networks.Also, a suitable relationship to estimate the considered strength is proposed based on the selected neural net-work. The results of the relationships show that these equations with a high accuracy have a proper ability andacceptance performance to predict the compressive strength of considered mortars.

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