Statistical Models to Predict Fresh Properties of Self-Consolidating Concrete

摘要：

In order to understand the influence of mixture parameters on concrete behaviour, a factorial design was employed in this investigation to identify the relative significance of primary mixture parameters and their coupled effects (interactions) on fresh properties of SCC that are of special interest to precast, prestressed applications. In addition to the 16 SCC mixtures employed, three SCC mixtures corresponding to the central point of the factorial design were prepared to estimate the degree of the experimental error for each of the modeled responses. The mixtures were evaluated to determine several key responses that affect the fresh properties of precast, prestressed concrete, including filling ability, passing ability, filling capacity, surface settlement, and column segregation. Mixture parameters modeled in this investigation included the binder content, binder type, w/cm, sandto-total aggregate ratio (S/A), and dosage of thickening-type, viscosity-modifying admixture (VMA). The factorial design can identify potential mixtures with a given set of performance criteria that can be tried in the laboratory, hence simplifying the test protocol needed to optimize SCC.

关键词： self-consolidating concrete statistical models fresh properties prestressed concretes

作者: Wu Jian Long Kamal Henri Khayat Feng Xing

作者单位: Shenzhen Durability Center for Civil Engineering,Shenzhen University,Shenzhen,China Faculty of Civil Engineering,Universite de Sherbrooke,Sherbrooke,Quebec,Canada

会议类型: 国际会议

会议名称: 2010 International Conference on Material and Manufacturing Technology(2010材料与制造技术国际会议 ICMMT2010)

会议地点: 重庆

会议语种:英文

页码: 853-856

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）