Title:
Performance Evaluation and Microstructure Study of Pervious Concrete Prepared from Various Solid Waste Admixtures
Author(s):
Yi Li, Jiong Zhang, Jie Ding, Feng‑zhen Chen, Ming‑zhu Liu, Jia Liu and Zhao Hou
Publication:
IJCSM
Volume:
19
Issue:
Appears on pages(s):
Keywords:
Solid waste materials, Pervious concrete, Orthogonal test method, Microstructure
DOI:
10.1186/s40069-024-00738-0
Date:
3/31/2025
Abstract:
Solid waste materials (SWM) are commonly used in the preparation of building materials due to their structural
characteristics and chemical composition. Pervious concrete (PC) is a green infrastructure material that offers advantages
such as reducing surface runoff and purifying water quality, making it an important component of sponge
cities. This study aims to investigate the physical properties and micro-structure of PC prepared from various SWM
and determine the optimal mix proportion. In this study, three common SWM, including muck, steel slag (SS) and fly
ash (FA), are used as raw materials. The chemical composition and physical properties of SWM are analyzed. A fivelevel
and five-factor test scheme is developed using the orthogonal test method. This scheme considers the target
porosity, water–cement ratio, muck content, SS content, and FA content as variables. The mechanical properties
and permeability of PC, including compressive strength, porosity and permeability coefficient are evaluated. The
internal structure of PC is observed using a scanning electron microscope (SEM). The results indicate that the optimal
mix proportion for preparing PC is determined through efficiency coefficient method analysis: target porosity of 25%,
water–cement ratio of 0.36, muck content of 10%, SS content of 10%, and FA content of 12.5%. The corresponding
performance indicators of the PC sample are measured as follows: porosity of 24.67%, compressive strength
of 15.78 MPa, and permeability coefficient of 2.23 mm/s. This study provides valuable insights for the rapid and flexible
batching and performance optimization research of PC based on SWM.