Application of Multiple Linear Regression Analysis for Compressive Strength Prediction of Compressed Stabilized Earth Blocks

Abstract:

The multiple linear regression analysis (MLR) is one of the most mathematical tools that widely used in recent decades by several investigations research for the prediction of the mechanical properties of energy-efficient building materials. For this purpose, the present study aims to predict and to estimate the compressive strength properties of the compressive stabilized earth blocks (CSEB) using the multiple linear regression analysis (MLR). The statistical modeling is carried out in this work based to the experimental results obtained using different independent variables of cement content, compaction pressures, lime and resin concentrations. The MLR model performed during this investigation is statistically significant with a good correlation between the experiment and the calculated data. The performance evaluation of the developed model was tested by the analysis of the statistical parameters of the coefficient of determination (R²), significance level (Sig.), standardized coefficient (β), t-test value and the variation inflation factor (VIF). Based on the obtained results, the MLR model gives high correlation for compressive strength prediction of CSEBs (R² of 0.82). Moreover, the findings conclude that the cement content has significantly impacts compressive strength values of CSEBs, followed by compaction pressures, lime and resin concentrations. Standardized coefficients of 0.74, 0.44, 0.22, and -0.03 are obtained respectively for each independent variable.

• Periodical: Key Engineering Materials (Volume 1033)
• Pages: 81-91
• DOI: https://doi.org/10.4028/p-w4BddZ
• Online since: November 2025
• Authors: Aghiles Hammas*, M'hamed Mahdad
• Keywords: Compressed Stabilized Earth Blocks, Compressive Strength Prediction, Energy-Efficient Building Materials, Multiple Linear Regression Analysis

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