Title:
Influence of Pore Structure Characteristics on the Mechanical and Durability Behavior of Pervious Concrete Material Based on Image Analysis
Author(s):
Ruyan Liu, Yin Chi, Shengyun Chen, Qinghui Jiang, Xiaoyu Meng, Kun Wu, Shengjia Li
Publication:
IJCSM
Volume:
14
Issue:
Appears on pages(s):
Keywords:
pervious concrete, image analysis, pore structure, strength, permeability, durability, numerical simulation
DOI:
10.1186/s40069-020-00404-1
Date:
7/30/2020
Abstract:
Pervious concrete has been widely used in parking lots and other lightweight streets. Performances of pervious
concrete are strongly dependent on its pore structure characteristics. This paper investigates the relationship among
porosity, permeability, compressive strength, durability and the pore structure characteristics of pervious concrete.
The infuences of basalt fber and fne aggregate on the pervious concrete are also discussed. Pervious concrete
specimens with diferent pore structures were prepared by combining basalt aggregate with size of 5–10 mm and
10–15 mm at diferent proportion. The pore structure characteristics such as area porosity, pore sizes, and pore distribution of pervious concrete were obtained and analyzed using image analysis method. Experimental results showed
that the pore structure characteristics of pervious concrete have efects on its mechanical and durability behaviors.
Homogeneous pore distribution and large distances between pores increase the compressive strength and improve
freeze–thaw durability of pervious concrete. Due to the diference in the internal pore structure of pervious concretes,
specimens with similar volumetric porosities had diferent permeability coefcients. A series of numerical models
were regenerated through a MATLAB code using pore structural parameters derived from the image analysis method,
then the numerical models were fed to ANSYS for meshing and further simulation. The comparison of the simulation
and experimental results showed close accuracy, which verifed the applied simulation analysis method based on
image analysis technology.