基于细观尺度的UHPC氯离子扩散预测CA模型

doi:10.11896/cldb.21040188

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Abstract Amicroscopic random aggregate model of ultra-high performance concrete (UHPC) was developed based on the Monte Carlo method in this research. A microscale CA model, considering the influence of the random distributions of material composition and aggregate on the diffusion of chloride ions, was proposed for predicting chloride ion erosion on UHPC. Chloride ion erosion processes in UHPC with 4 different ratios were simulated, respectively. In addition, the simulation results were compared with the analytical solution achieved by Fick's second law and the experimental results. The results showed that the influence of the random distributions of aggregate, fiber, and interface transition zone for the chloride diffusion effect can be reflected by the CA model. The developed model can not only accurately represent the variation of the average chloride ion concentration of cross-section with depth, but also give the detailed probability distribution of chloride ion concentration at different depths. There are three distinct stages of chloride ions distribution in the UHPC section, including rapid descending stage, steady descending stage, and stable stage. The proposed model and method have certain reference significance to durability design of UHPC structures in chloride corrosion environment.

Key words： ultra-high performance concrete microscale chloride ion erosion cellular automata prediction model

Published: 10 March 2022 Online: 2022-03-08

CLC number:

TU528

Fund:High-Speed Railway Joint Fund of National Natural Science Foundation of China (U1934205), National Natural Science Foundation of China (51878323), Construction Science and Technology Project of Gansu Province(JK2021-03), Education Science and Technology Innovation Project of Gansu Province(2021CXZX-568) and Gansu Provincial Education Department Youth Doctor Fund Project(2021QB-056).

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	MA Junjun
	LIN Pengzhen

Cite this article:

MA Junjun,LIN Pengzhen. Prediction CA Model of UHPC Chloride Ion Diffusion Based on a Mesoscopic Scale[J]. Materials Reports, 2022, 36(5): 21040188-6.

URL:

http://www.mater-rep.com/EN/10.11896/cldb.21040188 OR http://www.mater-rep.com/EN/Y2022/V36/I5/21040188

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