A Temperature–Age Model For Prediction of Compressive Strength of Chemically Activated High Phosphorus Slag Content Cement
Prediction of compressive strength by a proper model is a fast and cost-effective way for evaluating cement quality under various curing conditions. In this paper, a logarithmic model based on the results of an experimental work conducted to investigate the effects of curing time and temperature on the compressive strength development of chemically activated high phosphorus slag content cement has been presented. This model is in terms of curing time and temperature as independent variables and compressive strength as dependent variable. For this purpose, mortar specimens were prepared from 80 wt.% phosphorus slag, 14 wt.% Portland cement, and 6 wt.% compound chemical activator at Blaine fineness of 303 m²/kg. The specimens were cured in lime-saturated water under temperatures of 25, 45, 65, 85, and 100 °C in oven. The model has two adjustable parameters for various curing times and temperatures. Modeling has been done by applying dimensionless insight. The proposed model can efficiently predict the compressive strength of this type of high phosphorus slag cement with an average relative error of less than 4%.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/17350522
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Supplemental Notes:
- © Iran University of Science and Technology 2017.
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Authors:
- Allahverdi, Ali
- Mahinroosta, Mostafa
- Pilehvar, Shima
- Publication Date: 2017-7
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 839-847
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Serial:
- International Journal of Civil Engineering
- Volume: 15
- Issue Number: 5
- Publisher: Springer International Publishing
- ISSN: 1735-0522
- EISSN: 2383-3874
- Serial URL: http://link.springer.com/journal/40999
Subject/Index Terms
- TRT Terms: Compressive strength; Concrete curing; Logarithms; Phosphorus; Slag cement; Temperature
- Subject Areas: Highways; Materials;
Filing Info
- Accession Number: 01641861
- Record Type: Publication
- Files: TRIS
- Created Date: Jul 13 2017 9:35AM