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.


Civil, Architectural and Environmental Engineering


The authors gratefully acknowledge the financial support provided by the Transportation Research Board of the National Academies of the United States of America for the National Cooperative Highway Research Program (NCHRP) Project 18-12, the National Natural Science Foundation of China (No. 51278306), and the Science Industry Trade and Information Technology Commission of Shenzhen Municipality (No. GJHZ20120614144906248).

Keywords and Phrases

Binders; Compressive strength; Concrete mixtures; Concretes; Design; Economic and social effects; Elasticity; Mechanical properties; Mixtures; Factorial design; Factorial design approach; Fractional factorials; Hardened properties; Model region; Statistical modeling; Viscoelastic properties; Water-cementitious material ratio; Self compacting concrete; Visco-elastic properties

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Article - Journal

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Publication Date

01 Mar 2015