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Component Optimization and Seepage Simulation Method of Resin Based Permeable Brick

Xiaofu Wang1,*, Xiong Zhang1, Yan He2, Chunming Lian3

1 Key Laboratory of Advanced Civil Engineering Materials of Education Ministry, School of Material Science and Technology, Tongji University, Shanghai, 201804, China
2 School of Civil Engineering, Suzhou University of Science and Technology, Suzhou, 215011, China
3 China Construction Eighth Engineering Bureau Co., Ltd., Shanghai, 200122, China

* Corresponding Author: Xiaofu Wang. Email:

Journal of Renewable Materials 2020, 8(8), 947-968.


In order to solve the problem of urban surface runoff, it is necessary to study permeable brick deeply. Tensile test and DMA test were used to study the binder material of permeable brick, and a material with the best mechanical properties was selected as the binder of resin based permeable brick; The permeable brick with single gradation and continuous gradation and porosity of 0.1–0.5 gradient is constructed by 3D modeling method. The particle composition and the seepage simulation results of permeable brick under different design parameters were analyzed; A resin-based permeable brick with micro-pores was prepared using the selected binder and desert sand with high roundness as aggregate, and compared with the simulation, its water permeability coefficient is 3.25 × 10-2 cm/s and the compressive strength is 36.19 MPa. In the seepage simulation of permeable brick, it is known that with the increase of gradation width “value i”, the water permeability coefficient increases. Therefore, in order to control the number of aggregate particles and obtain better seepage performance, the wide gradation of i ≥ 4 and the design porosity of 0.3–0.4 should be considered. This study provides a research basis and a simulation method for the component optimization of resin based permeable brick.


Cite This Article

Wang, X., Zhang, X., He, Y., Lian, C. (2020). Component Optimization and Seepage Simulation Method of Resin Based Permeable Brick. Journal of Renewable Materials, 8(8), 947–968.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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