Influence of the water and aggregate contents on the concrete mixing evolution

被引:5
|
作者
Moreno-Juez, J. [1 ,2 ]
Cazacliu, B. [1 ]
Artoni, R. [1 ]
机构
[1] IFSTTAR, Aggregates & Mat Proc Lab, Route Bouaye CS4, F-44344 Nantes, France
[2] Tecnalia, Sustainable Construct Div, Mat Business Unit, Edificio 700,Parque Tecnolt Bizkaia, Derio 48160, Spain
关键词
Concrete mixing evolution; Effective water estimation; Coarse aggregates wall effect; Fresh properties control; RECYCLED CONCRETE; FRESH;
D O I
10.1016/j.conbuildmat.2017.12.105
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
A new image analysis technique coupled with the power consumption were employed in this paper and proved to be a relevant method to detect the different characteristic times of the mixing evolution, i.e. the cohesion time, the fluidity time and the half-life time of the mixture evolution after fluidity. It was shown that the "effective water-to-powder ratio in the mortar" which excludes from the effective water the quantity of water needed to fill the less compact packing in the vicinity of the coarse aggregates, governed the mixing behaviour before fluidity and the interval of water content where the concrete mixture behaves as a homogenous and fluid granular suspension. It was also shown that the mixing behaviour was adversely affected by the amount of water into the mixture. The fluidity and cohesive times were faster to be obtained when the water proportion was increased. At opposite, it was more difficult to obtain the final consistency for a more fluid mixture, at given super-plasticizer proportioning. As a general remark, the behaviour seemed controlled by the mixture composition before the fluidity point and by the mixture consistency after the fluidity point. To end, the image analysis technique coupled with the mixing power technique can be employed at the end of the mixing to complete the information obtained with the other methods of analysis in order to monitor the consistency of the mixture. But, the use of the cohesion and fluidity times, easy to detect with the texture analysis, could be more efficient monitoring tools from an industrial point of view. (C) 2017 Published by Elsevier Ltd.
引用
收藏
页码:280 / 289
页数:10
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