Application of Gray Relational Analysis for Chloride Permeability and Freeze-Thaw Resistance of High-Performance Concrete Containing Nanoparticles
Publication: Journal of Materials in Civil Engineering
Volume 23, Issue 12
Abstract
Many factors of mix proportion affect the chloride permeability and freeze-thaw resistance of high-performance concrete containing nanoparticles, including the dosages of cement, nanomaterials, mineral fine admixture, and chemical admixture and the water-binder and sand ratios. The aim of this study was to evaluate the effects of these factors on the chloride permeability and freeze-thaw resistance of high-performance concrete containing nanoparticles and determine which factors yield the greatest influence. The gray relational analysis method was used to calculate relational grades between the effect factors and the diffusion coefficient of and between the effect factors and the antifreezing durability coefficient. In addition, sequences showing degree of influence on chloride permeability and freeze-thaw resistance were obtained. The results indicate that among the seven selected parameters of mix proportion design, water-binder ratio, dosage of cement, and dosage of nanoparticles had the greatest influence on the chloride permeability and freeze-thaw resistance of high-performance concrete containing nanoparticles. To improve the antipermeability of and the freeze-thaw resistance of high-performance concrete containing nanoparticles, the water-binder ratio and dosages of cement and nanomaterials must be strictly controlled (i.e., the water-binder ratio decreased and the dosages of cement and nanomaterials increased).
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Published In
Journal of Materials in Civil Engineering
Volume 23 • Issue 12 • December 2011
Pages: 1760 - 1763
Copyright
© 2011 American Society of Civil Engineers.
History
Received: Mar 20, 2011
Accepted: May 4, 2011
Published online: May 6, 2011
Published in print: Dec 1, 2011
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