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

  • Suhair K. Al-Hubboubi Ministry of Construction and Housing
  • Zena K. Abbas, Ass. Prof. Dr. College of Engineering-University of Baghdad
Keywords: accelerated compressive strength, regression analysis models


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
Al-Hubboubi, S. and Abbas, Z. (2018) “Regression Analysis Models to Predict the 28 -day Compressive Strength Using Accelerated Curing Tests”, Journal of Engineering, 24(1), pp. 1-19. Available at: (Accessed: 20January2020).

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