Linear Regression Model Based on Accelerated Curing Method to Predict the 28-Day Strength of Concrete
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Abstract
Control tests are essential in the construction industry. The results of these tests need to be timely, to avoid waste of materials, and save the cost of production and labour. This may also lead to the delivery of the project in record time. In this study, a mathematical linear regression model is established to predict the 28-day compressive strength of concrete, using the boiling water accelerated curing method. Two concrete mix ratios of 1:2:4 and 1:2:3 were used for the design of the regression model. The mean compressive strength of the accelerated cured concrete is 5.2 and 7.4N/mm2 for 1:2:4 and 1:2:3 respectively. The mean compressive strength for the 28-day moist cured concrete is 16.0 and 20.6 N/mm2 for 1:2:4 and 1:2:3 respectively. The SPSS Statistics software was used to determine the coefficients of the regression equation. The value of the 28-day strengths predicted by the model equation, agrees favorably with the observed 28-day moist cured concrete strengths, using Statistical Student's t-test, at a 5% significant level. The model is recommended for concrete made from similar materials.
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