Evaluation of mathematical models for prediction of slump, compressive strength and durability of concrete with limestone powder

Aryan Bazrafkan | Arash Sayari | Alireza Habibi

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URL :   http://research.shahed.ac.ir/WSR/WebPages/Report/PaperView.aspx?PaperID=148240
Date :  2020/12/15
Publish in :    Advances in Concrete Construction


Keywords :concrete; limestone powder; slump; compressive strength; water penetration; prediction

Abstract :

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Multiple mathematical modeling for prediction of slump, compressive strength and depth of water penetration at 28 days were performed using statistical analysis for the concrete containing waste limestone powder as partial replacement of sand obtained from experimental program reported in this research. To extract experimental data, 180 concrete cubic samples with 20 different mix designs were investigated. The twenty non-linear regression models were used to predict each of the concrete properties including slump, compressive strength and water depth penetration of concrete with waste limestone powder. Evaluation of the models using numerical methods showed that the majority of models give acceptable prediction with a high accuracy and trivial error rates. The 15-term regression models for predicting the slump, compressive strength and water depth were found to have the best agreement with the tested concrete specimens.