STATISTICAL MODELS TO PREDICT MECHANICAL AND VISCO-ELASTIC PROPERTIES OF SCC DESIGNATED FOR PRECAST/PRESTRESSED APPLICATIONS
The proportioning of self-consolidating concrete (SCC) often involves the adjustment of several mixture parameters to achieve some compromise between properties affecting fresh and hardened concrete properties. A factorial design was carried out to model the influence of key mixture parameters on several properties affecting mechanical and visco-elastie properties of SCC used for the construction of precast of prestressed structural beams.Mixture parameters modeled in this study included the binder content, binder type, w/cm,sand-to-total aggregate ratio (S/A), and dosage of thickening-type, viscosity-modifying admixture (VMA). In total, 16 SCC mixtures were developed to establish a factorial design with five main factors. Three replicate SCC mixtures were prepared to estimate the degree of the experimental error for the modeled responses. The mixtures were evaluated to determine several key responses that affect the performance of precast, prestressed concrete, including compressive strength development, modulus of elasticity, flexural strength, autogenous shrinkage, drying shrinkage, and creep. The derived statistical models enable to quantify the level of significance of each of the five investigated parameters on the mechanical and visco-elastic properties of SCC, which can simplifying the test protocol needed to optimize SCC.
self-consolidating concrete statistical models mechanical properties visco-elastic properties
Wu Jian Long Kamal Henri Khayat
Department of Civil Engineering, Université de Sherhrooke, Sherbrooke, Québec, Canada
国际会议
长沙
英文
506-525
2009-06-05（万方平台首次上网日期，不代表论文的发表时间）