Evaluation of pore size distribution and permeability reduction behavior in pervious concrete

被引:133
作者
Huang, Jiandong [1 ]
Zhang, Yi [2 ]
Sun, Yuantian [1 ]
Ren, Jiaolong [3 ]
Zhao, Zedong [3 ]
Zhang, Junfei [4 ]
机构
[1] China Univ Min & Technol, Sch Mines, Xuzhou 221116, Jiangsu, Peoples R China
[2] Tongji Univ, Coll Transportat Engn, Key Lab Rd & Traff Engn, Minist Educ, 4800 Caoan Rd, Shanghai 201804, Peoples R China
[3] Shandong Univ Technol, Sch Civil & Architectural Engn, Zibo 255000, Peoples R China
[4] Hebei Univ Technol, Sch Civil & Transportat Engn, Tianjin 300401, Peoples R China
基金
中国国家自然科学基金;
关键词
Pervious concrete; Clogging sand size; Characteristic pore size; Permeability; Clogging; Porosity; Pore size distribution; HYDRAULIC CONDUCTIVITY; MIXTURE DESIGN; PAVEMENT; SIMULATION; FIELD;
D O I
10.1016/j.conbuildmat.2021.123228
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Pervious concrete is an environmentally friendly material that improves water permeability, skid resistance, and sound absorption characteristics. However, due to a large number of pores and the absorption capacity, pervious concrete faces the problem of clogging caused by dust particles and solid contaminants entering the internal pores. In this study, both pore size distributions (PSD) of the pervious concrete and permeability reduction behavior are studied by laboratory tests. The extent of permeability reduction is addressed by designing the penetration test for 21 groups of pervious concrete mixes with varying aggregate gradations and specimen thickness. The PSD is determined by the two-dimensional (2D) sliced image scanned by the Computed Tomography (CT). An approach to represent the characteristic pore size of pervious concrete is proposed and verified. Results showed that: the effect of thickness on permeability is negligible while on clogging behavior is significant. The ratio between the clogging sand sizes and the characteristic pore size is an important parameter that affects the clogging behavior and can be used to predict the anti-clogging performance. (c) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页数:16
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