Abstract

The purpose of this study is to develop data mining models to predict restrained shrinkage crack widths of slag mortar cementitious composites. A database published by BILIR et al. [1] was used to develop these models. As a modelling tool R environment was used to apply these data mining (DM) techniques. Several algorithms were tested and analyzed using all the combinations of the input parameters. It was concluded that using one or three input parameters the artificial neural networks (ANN) models have the best performance. Nevertheless, the best forecasting capacity was obtained with the support vector machines (SVM) model using only two input parameters. Furthermore, this model has better predictive capacity than adaptativenetwork- based fuzzy inference system (ANFIS) model developed by BILIR et al. [1] that uses three input parameters. Keywords: mortar; data mining; prediction; restrained shrinkage cracking.

Highlights

  • This study aims to estimate the drying shrinkage crack widths of mortars containing Granulated Blast Furnace Slag (GBFS) as fine aggregate

  • GBFS is commonly utilized as a fine aggregate substitute in mortar in order to reduce environmental problems related to aggregate mining and waste disposal

  • Drying shrinkage occurs after the mortar setting, being originated by the evaporation of free capillary water from the interior of the mortar that was not consumed in the hydration reactions of the cement

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Summary

Introduction

This study aims to estimate the drying shrinkage crack widths of mortars containing Granulated Blast Furnace Slag (GBFS) as fine aggregate. GBFS is commonly utilized as a fine aggregate substitute in mortar in order to reduce environmental problems related to aggregate mining and waste disposal. One of the most frequent problems in mortars is cracking that can be caused by several factors. One of these factor is the drying shrinkage that causes tensile stresses in the mortar due to restrictions to its free shortening. Drying shrinkage occurs after the mortar setting, being originated by the evaporation of free capillary water from the interior of the mortar that was not consumed in the hydration reactions of the cement

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