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

K. Al-Hubboubi, Suhair; K. Abbas, Zena

	Regression Analysis Models to Predict the 28 -day Compressive Strength Using Accelerated Curing Tests
Journal of Engineering
Article 1, Volume 24, Issue 1, 2018, Pages 1-19
Authors
Suhair K. Al-Hubboubi; Zena K. Abbas
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.
Keywords
accelerated compressive strength; regression analysis models

Statistics Article View: 76 PDF Download: 7