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Materials 2015, 8(3), 1089-1107;

Factorial Design Approach in Proportioning Prestressed Self-Compacting Concrete

Guangdong Province Key Laboratory of Durability for Marine Civil Engineering, College of Civil Engineering, Shenzhen University, Shenzhen 518060, China
Faculty of Civil, Architectural and Environmental Engineering, Missouri University of Science and Technology, Rolla, MO 65409, USA
Cement Association of Canada, Montreal, QC J7H 1S7, Canada
Author to whom correspondence should be addressed.
Academic Editor: Maryam Tabrizian
Received: 2 December 2014 / Revised: 30 December 2014 / Accepted: 9 March 2015 / Published: 13 March 2015
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In order to model the effect of mixture parameters and material properties on the hardened properties of, prestressed self-compacting concrete (SCC), and also to investigate the extensions of the statistical models, a factorial design was employed to identify the relative significance of these primary parameters and their interactions in terms of the mechanical and visco-elastic properties of SCC. In addition to the 16 fractional factorial mixtures evaluated in the modeled region of −1 to +1, eight axial mixtures were prepared at extreme values of −2 and +2 with the other variables maintained at the central points. Four replicate central mixtures were also evaluated. The effects of five mixture parameters, including binder type, binder content, dosage of viscosity-modifying admixture (VMA), water-cementitious material ratio (w/cm), and sand-to-total aggregate ratio (S/A) on compressive strength, modulus of elasticity, as well as autogenous and drying shrinkage are discussed. The applications of the models to better understand trade-offs between mixture parameters and carry out comparisons among various responses are also highlighted. A logical design approach would be to use the existing model to predict the optimal design, and then run selected tests to quantify the influence of the new binder on the model. View Full-Text
Keywords: self-compacting concrete; factorial design; statistical model; model region; mechanical properties; visco-elastic properties self-compacting concrete; factorial design; statistical model; model region; mechanical properties; visco-elastic properties

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Long, W.-J.; Khayat, K.H.; Lemieux, G.; Xing, F.; Wang, W.-L. Factorial Design Approach in Proportioning Prestressed Self-Compacting Concrete. Materials 2015, 8, 1089-1107.

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