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Computers and Concrete Volume 17, Number 4, April 2016 , pages 477-488 DOI: https://doi.org/10.12989/cac.2016.17.4.477 |
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Statistical flexural toughness modeling of ultra high performance concrete using response surface method |
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Mohammad A. Mosaberpanah and Ozgur Eren
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| Abstract | ||
| This paper aims to model the effects of five different variables which includes: cement content (C), the steel fiber amount (F), the silica fume amount (SF), the superplasticizer (SP), the silica fume amount (SF), and the water to cementitious ratio (w/c) on 28 days flexural toughness of Ultra High Performance Concrete (UHPC) as well as, a study on the variable interactions and correlations by using analyze of variance (ANOVA) and response surface methodology (RSM). The variables were compared by fine aggregate mass. The model will be valid for the mixes with 0.18 to 0.32 w/c ratio, 4 to 8 percent steel fiber, 7 to 13 percent cement, 15 to 30 percent silica fume, and 4 to 8 percent superplasticizer by fine aggregate mass. | ||
| Key Words | ||
| ultra high performance concrete; response surface method; flexural toughness; central composite methodology | ||
| Address | ||
| Mohammad A. Mosaberpanah and Ozgur Eren: Department of Civil Engineering, Eastern Mediterranean University (EMU), Famagusta, Cyprus | ||