Experimental simulation study on pore clogging mechanism of porous pavement
Experimental simulation study on pore clogging mechanism of porous pavement
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多孔路面堵孔机理试验模拟研究
DOI:
10.1016/j.conbuildmat.2018.07.199
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发表时间:
2018-10
影响因子:
7.4
通讯作者:
Li Li
中科院分区:
文献类型:
--
作者:
Jiong Zhang;Rui She;Zhaoxia Dai;Ruiping Ming;Guodong Ma;Xinzhuang Cui;Li Li
Permeability reduction caused by clogging is a major issue with porous concrete pavements. Particulate matter infiltration owing to rainwater, movement, and accumulation/deposition in the pores is the main cause of clogging in porous pavements. In this study, in order to observe the internal movement of particles in pores and the clogging evolution directly, we focus on the accumulation of transparent sodium polyacrylate beads instead of pervious concrete aggregate. The clogging process caused by particles in surface runoff entering the internal pores of porous concrete was studied, and a visualization method was applied to analyze the clogging process in porous media. The effects of the porous concrete porosity, horizontal runoff velocity, seepage velocity, and particle size distribution on the clogging development with time, clogging development rate, and particle distribution in the clogging state were studied using the control variable method. The results demonstrate that the clogging process exhibits four stages, namely rapid clogging, partial recovery, slow clogging, and clogging stability. The effects of porosity and clogging particle size on the clogging development rate are significant. Porous concrete porosity, seepage velocity, and clogging particle size all have impacts on the distributions of clogging particle in the final clogging process, while the horizontal runoff effect can be neglected.
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DOI:
10.1061/(asce)0733-947x(2003)129:3(309
发表时间:
2003-05
期刊:
Journal of Transportation Engineering-asce
影响因子:
--
作者:
Siew‐Ann Tan;T. Fwa;Chong-Teng Han
通讯作者:
Siew‐Ann Tan;T. Fwa;Chong-Teng Han
影响因子:
7.4
作者:
Huining Xu;Yiqiu Tan;Xingao Yao
通讯作者:
Huining Xu;Yiqiu Tan;Xingao Yao
影响因子:
8.7
作者:
Kayhanian, Masoud;Anderson, Dane;Muhunthan, Balasingam
通讯作者:
Muhunthan, Balasingam
影响因子:
7.4
作者:
Jiong Zhang;Guodong Ma;Jingping Ming;Xinzhuang Cui;Li Li;Huining Xu
通讯作者:
Huining Xu
影响因子:
11.4
作者:
Neithalath, Narayanan;Weiss, Jason;Olek, Jan
通讯作者:
Olek, Jan