数值模拟在研究透水混凝土性能影响因素中的运用

An application of numerical modeling on effect of performance of pervious concrete research

采用两水平析因试验设计(Two-level factorial design)和响应曲面法(RSM)定量研究了水灰比(W/C)、骨料级配(G)及水泥用量(C)对透水混凝土的空隙率N0、有效空隙率Ne、透水系数K及抗压强度(f7d,f28d)的影响,并建立了相应的数学模型。结果表明:在其他条件相同的情况下,随着水灰比(W/C)的增大,透水混凝土的空隙率N0、有效空隙率Ne及透水系数K减小;随着石子级配(G)的增大,透水混凝土的空隙率N0、有效空隙率Ne及透水系数K增大;水泥用量(C)越多,透水混凝土抗压强度(f7d,f28d)越高。运用所得模型进行配合比优化,能得到满足要求的透水混凝土配合比。。

In this paper, two-level factorial design and response surface methodology(RSM) were used, to study the effects of waterto-cement ratio(W/C), aggregate gradation(G) and cement content(C) on void ratio N0, effective porosity Ne, permeation coefficient K and compressive strength(f7d,f28d) of pervious concrete, and established the corresponding mathematical models. The research results show that: with the increase of water-to-cement ratio(W/C), void ratio N0, effective porosity Ne and permeation coefficient K of pervious concrete decreased under the same conditions. However, with the increase of aggregate gradation(G), void ratio N0, effective porosity Ne and permeation coefficient K of pervious concrete increased. The more cement content(C), the higher compressive strength(f7d,f28d) of pervious concrete. The models in this study can facilitate optimizing the mixture proportions of pervious concrete for target performance.