Print Email Facebook Twitter Investigations of mixing technique on the rheological properties of self-compacting concrete Title Investigations of mixing technique on the rheological properties of self-compacting concrete Author Li, Huajian (China Academy of Railway Sciences; State Key Laboratory of High Speed Railway Track Technology) Huang, Fali (China Academy of Railway Sciences; State Key Laboratory of High Speed Railway Track Technology) Yi, Zhonglai (China Academy of Railway Sciences; State Key Laboratory of High Speed Railway Track Technology) Wang, Zhen (China Academy of Railway Sciences; State Key Laboratory of High Speed Railway Track Technology) Zhang, Y. (TU Delft Materials and Environment; Fuzhou University) Yang, Zhengxian (Fuzhou University) Date 2020 Abstract Rheological properties are of significant importance in successful placement and performance of self-compacting concrete (SCC). In this work, the rheological properties of SCC, combined with a powder-viscosity modifying admixture, were investigated based on a series of experimental studies. The modified Bingham model was applied to determine the rheological parameters and shear thickening behavior of SCC. The effects of mixing procedures, including charging sequence, mixing time and mixing speed, were analyzed. The results show that the shear thickening of SCC is reduced by first mixing the aggregate and water and then adding other raw materials. The direct contact between aggregate and water leads to a large amount of free water to be adsorbed by the aggregate system, resulting in an increase of the yield stress. In order to ensure an excellent fluidity and a low shear thickening behavior of SCC, the mixing time should be controlled at 4-5 min and the mixing speed at 30-45 r/min. Subject Charging sequenceMixing speedMixing timeRheological propertiesSelf-compacting concrete To reference this document use: http://resolver.tudelft.nl/uuid:b40ff9e6-c2a9-41f4-867b-752ffe540a04 DOI https://doi.org/10.3390/app10155189 ISSN 2076-3417 Source Applied Sciences, 10 (15) Part of collection Institutional Repository Document type journal article Rights © 2020 Huajian Li, Fali Huang, Zhonglai Yi, Zhen Wang, Y. Zhang, Zhengxian Yang Files PDF applsci_10_05189.pdf 2.22 MB Close viewer /islandora/object/uuid:b40ff9e6-c2a9-41f4-867b-752ffe540a04/datastream/OBJ/view