Abstract
The influence of fly ash, ground granulated blast furnace slag, and condensed silica fume on rheological properties of mortars with different cements and different new generation superplasticizers are presented and discussed. Rheological properties of these mortars were studied using Two-point workability test and these mortars can be considered as a model of concrete. The addition of mineral admixtures significantly influences rheological properties of mortars and the nature and range of this influence depend not only on the type, properties and content of mineral admixture but also on the properties of the cement and superplasticizer and interaction of these. The basic influence trends of mineral admixtures on rheology of mortars with polycarboxylate and polyeter superplasticizers are presented. It is concluded that the compatibility of cement and superplasticizer system should be selected taking into account presence and estimated dosage of given mineral admixture. The combined influence of given cement - mineral admixture - superplasticizer system on rheology of fresh concrete should be verified by means of experimentation. Two-point workability test made on mortars enables both selection of optimal cement - mineral admixture - superplasticizer system and collection of data for fresh concrete workability control.
| Original language | English (US) |
|---|---|
| Title of host publication | 9th CANMET/ACI International Conference on Fly Ash, Silica Fume, Slag, and Natural Pozzolans in Concrete |
| Publisher | American Concrete Institute |
| Pages | 375-390 |
| Number of pages | 16 |
| ISBN (Print) | 9780870312410 |
| State | Published - Apr 1 2007 |
| Externally published | Yes |
Bibliographical note
KAUST Repository Item: Exported on 2021-09-21Acknowledgements: The research reported in this publication was supported by the King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia. We are grateful to the sponsors of the Center for Subsurface Imaging and Modeling Consortium for their financial support. For computer time, this research used the resources of the Supercomputing Laboratory at KAUST and the IT Research Computing Group. We thank them for providing the computational resources required for carrying out this work.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.