Modeling the chloride transport in concrete from microstructure generation to chloride diffusivity prediction

Author:

Tong Liang‐yu1,Liu Qing‐feng12,Xiong Qingxiang1,Meng Zhaozheng13,Amiri Ouali4,Zhang Mingzhong5

Affiliation:

1. State Key Laboratory of Ocean Engineering School of Ocean and Civil Engineering, Shanghai Jiao Tong University Shanghai China

2. Chongqing Research Institute Shanghai Jiao Tong University Chongqing China

3. Microlab, Faculty of Civil Engineering and Geosciences Delft University of Technology Delft The Netherlands

4. GeM, Research Institute of Civil Engineering and Mechanics, Université de Nantes , UMR CNRS Nantes France

5. Department of Civil Environmental and Geomatic Engineering, University College London London UK

Abstract

AbstractPore structure characteristics of cementitious materials play a critical role in the transport properties of concrete structures. This paper develops a novel framework for modeling chloride penetration in concrete, considering the pore structure‐dependent model parameters. In the framework, a multi‐scale transport model was derived by linking the chloride diffusivities with pore size distributions (PSDs). Based on the three‐dimensional (3D) microstructure generated by “porous growth” and “hard core‐soft shell” methods, two sub‐models were computationally developed for determining the multi‐modal PSDs and pore size‐related chloride diffusivities. The predicted results by these series of models were compared with corresponding experimental data. The results indicated that by adopting pore size‐related diffusivities, even if the total porosities were the same, the proposed multi‐scale chloride transport model could better capture the effect of different PSDs on chloride penetration profiles, while the model without pore structure‐depended parameters would ignore the differences. Compared with the reference transport models, which adopt averaged chloride diffusivities, the chloride penetration depths predicted by the proposed multi‐scale model are in better agreement with experimental data, with 10%–25% reduced prediction error. This multi‐scale transport model is hoped to provide a novel computational approach on 3D microstructure generation and better reveal the underlying mechanism of the chloride penetration process in concrete from a microscopic perspective.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shanghai Municipality

Natural Science Foundation of Chongqing Municipality

Publisher

Wiley

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