Linear and Non-Linear Regression Analysis on the Prediction of Compressive Strength of Sodium Hydroxide Pre-Treated Crumb Rubber Concrete

This research focuses on dataset development using NaOH treatment period (NaTP), NaOH concentration (NaCon), coarse aggregates (gravel), fine aggregates (sand), water, water–cement ratio (w/c), crumb rubber percentage (CR%), and equations to predict the CS of concrete. The criteria for the model acc...

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Bibliographic Details
Published in:Engineering proceedings 2023-08, Vol.44 (1), p.5
Main Authors: Hamza Aamir, Kinza Aamir, Muhammad Faisal Javed
Format: Article
Language:English
Subjects:
compressive strength
multiple linear regression
pre-treatment
regression analysis
Online Access:Get full text
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Summary:This research focuses on dataset development using NaOH treatment period (NaTP), NaOH concentration (NaCon), coarse aggregates (gravel), fine aggregates (sand), water, water–cement ratio (w/c), crumb rubber percentage (CR%), and equations to predict the CS of concrete. The criteria for the model accuracy included the coefficient of regression (R2), mean absolute error (MAE), and root mean square deviation (RMSE). In this study, Multiple Non-Linear Regression (MNLR) performed better compared to Multiple Linear Regression (MLR). The MNLR values obtained for R2, MAE, and RMSE were 0.88, 4.64, and 6.15; and the MLR values were 0.82, 5.86, and 7.43 for R2, MAE, and RMSE, respectively.
ISSN:2673-4591
DOI:10.3390/engproc2023044005