【摘 要】
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This article presents a factorial modeling as well as desirability function optimization of mix proportion of ultra high performance concrete (UH-PC) in ter
【机 构】
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Civil Engineering, the Eastern Mediterranean University, Cyprus
【出 处】
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The 14th International Congress on the Chemistry of Cement (
论文部分内容阅读
This article presents a factorial modeling as well as desirability function optimization of mix proportion of ultra high performance concrete (UH-PC) in terms of 28 days strength and CO2 emissions.A full factorial design and desirability function optimization method were carried out for finding the best UHPC ingredient proportions.Ultra high performance needs much cement, whereas cement is one of important issue for global warming which make 5% of whole CO2 emissions around the world, therefore, the 28 days compressive strength which is one the most important property of concrete and CO2 emissions were considered as responses.Mix design parameters were 5 as cement content, steel fiber amount, superplasticizer, silica fume amount, and ratio of water to cementations (w/c).The responses of derived statistical models were 28 days compressive strength, and CO2 emissions.Thirty five samples were prepared to derive statistical model which 25 were for full factorial and 3 were for center point for finding standard deviation.The variables were compared with the fixed amount of aggregate.The result is valid for the mixes with 0.18 to 0.32 w/c, 0.04 to 0.08 steel fiber, 0.7 to 1.3 cement, 0.15 to 0.30 silica fume, and 0.04 to 0.08 superplasticizer of aggregate mass.The final result showed.The optimized mix design based on 28-day compressive strength and CO2.
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