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http://dx.doi.org/10.5762/KAIS.2016.17.2.536

Engineering Characteristics of Ultra High Strength Concrete with 100 MPa depending on Fine Aggregate Kinds and Mixing Methods  

Han, Min-Cheol (Department of Architectural Engineering, CheongJu University)
Lee, Hong-Kyu (Department of Architectural Engineering, CheongJu University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.17, no.2, 2016 , pp. 536-544 More about this Journal
Abstract
Recently, with the increase in the number of high rise and huge scaled buildings, ultra-high strength concrete with 80~100 MPa has been used increasingly to withstand excessive loads. Among the components of concrete, the effects of the kinds and properties of fine aggregates on the performance and economic advantages of ultra-high strength concrete need to be evaluated carefully. Therefore, this study examined the effects of the type of fine aggregates and mixing methods on the engineering properties of ultra-high strength concrete by varying the fine aggregates including limestone fine aggregate (LFA), electrical arc slag fine aggregate (EFA), washed sea sand (SFA), and granite fine aggregate (GFA) and their mixtures. Ultra-high strength concrete was fabricated with a 20 % water to binder ratio (W/B) and incorporated with 70 % of Ordinary Portland cement: 20 % of fly ash:10 % silica fume. The test results indicate that for a given superplasticizer dose, the use of LFA resulted in increases in slump flow and L-flow compared to the mixtures using other aggregates due to the improved particle shape and grading of LFA. In addition, the use of LFA and EFA led to enhanced compressive strength and a decrease in autogenous shrinkage due to the improved elastic properties of LFA and the presence of free-CaO in EFA, which resulted in the formation of C-S-H.
Keywords
Autogenous Shrinkage; Distribution of grain shape; Elastic Properties; Fine Aggregate; Flowability; Limestone Fine Aggregate; Ultra High Strength Concrete;
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Times Cited By KSCI : 1  (Citation Analysis)
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