Regression Analysis Models to Predict the 28 -day Compressive Strength Using Accelerated Curing Tests

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Suhair K. Al-Hubboubi
Zena K. Abbas, Ass. Prof. Dr.

Abstract

Regression analysis models are adopted by using SPSS program to predict the 28-day compressive strength as dependent variable and the accelerated compressive strength as independent variable. Three accelerated curing method was adopted, warm water (35ºC) and autogenous according to ASTM C C684-99 and the British method (55ºC) according to BS1881: Part 112:1983. The experimental concrete mix design was according to ACI 211.1. Twenty eight concrete mixes with slump rang (25-50) mm and (75-100)mm for rounded and crushed coarse aggregate with cement content (585, 512, 455, 410, 372 and 341)Kg/m3.


      The experimental results showed that the accelerated strength were equal to about (0.356), (0.492) and (0.595) of the 28-day compressive strength for warm water, autogenous and British curing methods respectively. A statistical regression analysis using SPSS program is implemented for the experimental results of the 28-day compressive strength ranging from (16 to 55.2)Mpa and accelerated strength for different curing methods. The linear models with high R2 and F-value are adopted for different curing methods while the Power model with constant is the best model for non parametric analysis.


 

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How to Cite
“Regression Analysis Models to Predict the 28 -day Compressive Strength Using Accelerated Curing Tests” (2018) Journal of Engineering, 24(1), pp. 1–19. doi:10.31026/j.eng.2018.01.01.
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How to Cite

“Regression Analysis Models to Predict the 28 -day Compressive Strength Using Accelerated Curing Tests” (2018) Journal of Engineering, 24(1), pp. 1–19. doi:10.31026/j.eng.2018.01.01.

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