4.7 Article

Experimental investigation on the effect of pore characteristics on clogging risk of pervious concrete based on CT scanning

Journal

CONSTRUCTION AND BUILDING MATERIALS
Volume 212, Issue -, Pages 130-139

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.conbuildmat.2019.03.310

Keywords

Pervious concrete; Permeability; Pore characteristics; Clogging; CT scanning

Funding

  1. Ministry of Science and Technology of the People's Republic of China [2016YFE0108200]
  2. National Natural Science Foundation of China [5150080567]
  3. Fundamental Research Funds for the Central Universities [22120180093]
  4. Science and Technology Commssion Shanghai Municipality [17230711300, 16DZ1202004]
  5. Fund of Shanghai Peak Discipline [2016J012309]
  6. Department of Transportation of Hebei Province [QG2018-5]

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Pervious concrete is one of the permeable pavement materials, which can improve the traffic safety and road environment. However, the clogging problem of pervious concrete is considered as a potential common deficient of the permeable pavement that causes severe loss of the ecological function. Generally, the main cause of clogging is the interlocking of the pores with clogging particles. Therefore, addressing the problem of clogging needs to explore the influence of pore characteristics and clogging particles on the pervious concrete. This study determined the equivalent diameter of pores through CT scanning and image processing using an algorithm code to calculate the geometry properties of the open and closed pores. Moreover, the variation of permeability after clogging has been analyzed. The experimental results showed that the pore size could determine whether clogging particles can block or pass through the pores or not, which is closely related to the clogging degree. Finally, the new findings can help engineers and designers to optimize the design of pervious concrete to forwardly avoid or mitigate the clogging problem, which has a promising realistic signification for permeable pavement design and maintenance. (C) 2019 Elsevier Ltd. All rights reserved.

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