Analysis of Strength of Concrete Using Design of Experiments and Neural Networks
Publication: Journal of Materials in Civil Engineering
Volume 18, Issue 4
Abstract
This paper investigates the potential of using design of experiments and neural networks to determine the effect of fly ash replacements, from 0 to 50%, on early and late compressive strength, from 3 to , of low- and high-strength concrete, at water-cementitious material ratios in the range of 0.3–0.7. The research reported in this paper shows the following conclusions: (1) using a simplex-centroid mixture experiment design, a much smaller number of experiments need to be performed to obtain meaningful data; (2) high correlations between the compressive strength and the component composition of concrete can be developed using the generalization capabilities of the neural networks; (3) analyses of variance to test the effects of the variables and their interactions on concrete strength can be performed; (4) the strength ratio, i.e., the percentage of strength of concrete containing fly ash to strength of concrete without fly ash (pure-cement concrete) based on the same and the same age, is significantly reduced as the fly ash replacement increases, is somewhat reduced as the water-binder ratio decreases, and is highly significantly reduced as the age decreases; and (5) the higher fly ash content mixes yielded lower strength ratios throughout, the difference being greater at early age and low water-binder ratio.
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Acknowledgment
This work was supported by the National Science Council, ROC, under Grant NSC-92- 2211-E-216-015.
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© 2006 ASCE.
History
Received: May 10, 2005
Accepted: Sep 12, 2005
Published online: Aug 1, 2006
Published in print: Aug 2006
Notes
Note. Associate Editor: Kiang-Hwee Tan
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