Compressive Strength of Mortars Admixed with Wollastonite and Microsilica

Abstract

Mortar can be defined as a material which is used to hold building blocks that include bricks, stone or concrete together. In this paper, a special type of mortar which is mixed with Wollastonite and also micro-silica is considered and the goal was predicting the compressive strength of mortar in terms of artificial neural networks. For this purpose, the input parameters were assumed to be: the weight of microsilica, wollastonite, ordinary Portland cement, high-range water reducer, and also age of the mortar. Finally based on a sensitivity analysis, the relative importance of input parameters were determined.