Statistical models to predict fresh and hardened properties of self-consolidating concrete
Statistical models to predict fresh and hardened properties of self-consolidating concrete
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预测自密实混凝土新拌和硬化性能的统计模型
DOI：
10.1617/s11527-011-9815-9
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发表时间：
2012-03
影响因子：
3.8
通讯作者：
Kamal Henri Khayat
中科院分区：
文献类型：
--
作者：
Long Wu-Jian;Kamal Henri Khayat
一些材料特性和配合比设计参数影响自固结混凝土(SCC)的性能，需要考虑这些参数来提高混凝土的新拌和硬化性能。采用析因设计方法模拟了混合料参数和材料性能对用于预制/预应力结构构件的自密实混凝土工作性、力学性能和粘弹性能的影响。模拟的混合料参数包括胶凝材料含量、胶凝材料类型、水胶比、砂石比(S/A)和增稠型调粘剂的掺量。总共对16个自密实混凝土混合物进行了研究，以建立包含五个主要因素的析因设计。制备了三个重复的SCC混合物，以估计模拟响应的实验误差程度。对混合料进行了评估，以确定影响预制预应力混凝土性能的几个关键响应，包括填充能力、通过能力、填充能力、稳定性、抗压强度、弹性模量、弯曲强度、自收缩、干燥收缩和徐变。所推导的统计模型能够量化所研究的五个参数中的每一个对SCC的新鲜和硬化性能的显著程度，这可以简化优化SCC所需的测试方案。根据析因设计的结果，从工作性、力学性能和粘弹性性能三个方面对自密实混凝土的配合比提出了建议。
Several material properties and mix design parameters affect the performance of self-consolidating concrete (SCC) and need to be taken into consideration to enhance the fresh and hardened properties of the concrete. A factorial design was conducted to model the effect of mixture parameters and material properties on workability, mechanical properties, and visco-elastic properties of SCC used for the construction of precast/prestressed structural elements. The modeled mixture parameters included the binder content, binder type, water-to-cementitious materials ratio, sand-to-total aggregate ratio (S/A), and dosage of thickening-type viscosity-modifying admixture. In total, 16 SCC mixtures were investigated 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 the filling ability, passing ability, filling capacity, stability, compressive strength, 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 fresh and hardened properties of SCC, which can simplify the test protocol needed to optimize SCC. Based on the results derived from the factorial design, recommendations for the proportioning of SCC in terms of workability, mechanical properties, and visco-elastic properties are given.
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影响因子：
3.4
作者：
K. Khayat
通讯作者：
K. Khayat
影响因子：
1.7
作者：
K. Khayat;Wujian Long
通讯作者：
K. Khayat;Wujian Long
影响因子：
3.8
作者：
Khayat, KH;Ghezal, A;Hadriche, MS
通讯作者：
Hadriche, MS
DOI：
--
发表时间：
1971-06
期刊：
--
影响因子：
--
作者：
R. A. Langley
通讯作者：
R. A. Langley
影响因子：
1.8
作者：
P. Paultre;K. Khayat;D. Cusson;S. Tremblay
通讯作者：
P. Paultre;K. Khayat;D. Cusson;S. Tremblay