The Evolution of Concrete Microstructure and Chloride-Ion Diffusion Coefficient Under Cyclic Axial Compression
Source abstract
Abstract
Abstract The changes of the microscopic pore structure for concrete under cyclic axial compression accelerate chloride-ion penetration, reducing the durability of concrete structures. To address this, a chloride-ion migration experiment for concrete was conducted under cyclic axial compression, and the pore structure and pore group content of concrete were quantitatively characterized through equilibrium moisture content testing. In addition, a multiscale theoretical model for the chloride-ion diffusion coefficient in concrete was established based on the multiphase sphere model. The results show that cyclic loading forms an open hysteresis loop in the concrete's stress–strain curve, which evolves in the direction of increasing strain. Under loading, the microscopic pore structure of concrete coarsens, with an increase in the proportion of large capillary pores and gel pores, and a decrease in the proportion of small capillary pores. The model demonstrates good applicability when the chloride-ion diffusion coefficient is less than 22 × 10–12 m2/s. The model analysis indicates that the influence of cyclic axial compression loading on chloride-ion diffusion coefficient is more pronounced when the initial porosity ranges from 0.1 to 0.3. In addition, the more complex the microstructure of the concrete, the less its chloride-ion diffusion coefficient is affected by load-induced damage. At the same DI/Dm ratio, Dc/Dm gradually decreases with increase the volume fraction of coarse aggregates, but when DI/Dm reaches 15, the variation of Dc/Dm becomes negligible, approximately equal to 0.86. This indicates that when the ITZ exhibits a higher porosity content, the increased availability of chloride-ion transport pathways counteracts the blocking effect of coarse aggregates on chloride ions.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Concrete and Cement Materials Research · Concrete Properties and Behavior · Innovative concrete reinforcement materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (31)
Show source-provided references
1. Chen, X., Bu, J., Fan, X., et al. (2017). Effect of loading frequency and stress level on low cycle fatigue behavior of plain concrete in direct tension. Construction and Building Materials, 133(15), 367–375. https://doi.org/10.1016/j.conbuildmat.2016.12.08510.1016/j.conbuildmat.2016.12.085 ↗
2. De, S., & Mukherjee, A. (2020). A multiscale model including the effect of pores, aggregates and their interfaces for moisture diffusion in concrete. Cement and Concrete Composites, 111, 103595. https://doi.org/10.1016/j.cemconcomp.2020.10359510.1016/j.cemconcomp.2020.103595 ↗
3. Du, X., Jin, L., & Zhang, R. (2015). Chloride diffusivity in saturated cement paste subjected to external mechanical loadings. Ocean Engineering, 95(1), 1–10. https://doi.org/10.1016/j.oceaneng.2014.11.02810.1016/j.oceaneng.2014.11.028 ↗
4. Feng, C., Janssen, H., Wu, C., et al. (2013). Validating various measures to accelerate the static gravimetric sorption isotherm determination. Building and Environment, 69(11), 64–71. https://doi.org/10.1016/j.buildenv.2013.08.00510.1016/j.buildenv.2013.08.005 ↗
5. Fu, C., Ye, H., Jin, X., et al. (2016). Chloride penetration into concrete damaged by uniaxial tensile fatigue loading. Construction and Building Materials, 125, 714–723. https://doi.org/10.1016/j.conbuildmat.2016.08.09610.1016/j.conbuildmat.2016.08.096 ↗
6. Garboczi, E., & Bentz, D. (1998). Multi-scale analytical/numerical theory of the diffusivity of concrete. Advanced Cement Based Materials, 8(2), 77–88. https://doi.org/10.1016/S1065-7355(98)00010-810.1016/S1065-7355(98)00010-8 ↗
7. Guan, B., Yng, T., Wu, J., et al. (2018). Chloride transport behavior of damaged concrete under alternating load. Journal of Building Material, 21(2), 304–308. https://doi.org/10.3969/j.issn.1007-9629.2018.02.02110.3969/j.issn.1007-9629.2018.02.021 ↗
8. He, R., Fu, C., Ma, H., et al. (2020). Prediction of effective chloride diffusivity of cement paste and mortar from microstructural features. Journal of Materials in Civil Engineering, 32(8), 04020211. https://doi.org/10.1061/(ASCE)MT.1943-5533.000328810.1061/(ASCE)MT.1943-5533.0003288 ↗
9. Herve, E. (2002). Thermal and thermoelastic behaviour of multiply coated inclusion-reinforced composites. International Journal of Solids and Structures, 39(4), 1041–1058. https://doi.org/10.1016/S0020-7683(01)00257-810.1016/S0020-7683(01)00257-8 ↗
10. Hu, S. W. (2018). Research on predictive model for concrete structure durability under multiple influencing factors. Changsha University of Science & Technology.
11. Jin, J. F. (2012). Study on rock mechanical properties under coupled static–cyclic impact loadings. Central South University.
12. Jin, H. S., Liu, J., Zhong, D. J., et al. (2023). Experimental study on chloride ion diffusion behavior and microstructure in concrete under alternating ambient humidity conditions. Construction and Building Materials, 401, 132886. https://doi.org/10.1016/j.conbuildmat.2023.13288610.1016/j.conbuildmat.2023.132886 ↗
13. Lee, B., Hyun, J., Kim, Y., et al. (2014). Chloride permeability of damaged high-performance fiber-reinforced cement composite by repeated compressive loads. Materials, 7(8), 5802–5815. https://doi.org/10.3390/ma708580210.3390/ma7085802 ↗
14. Li, Y., Shen, A., Lyu, Z., et al. (2020). Investigations of chloride ions permeability of pavement concrete under coupled effect of fatigue loading and hydrodynamic pressure. International Journal of Pavement Engineering, 23(5), 1659–1674. https://doi.org/10.1080/10298436.2020.181954010.1080/10298436.2020.1819540 ↗
15. Liu, J. C. (2020). Study on the energy evolution law and damage characteristics of deformation and failure process of coral concrete. Nanjing University of Science & Technology.
16. Liu, K., Cheng, X., Li, J., et al. (2019). Effects of microstructure and pore water on electrical conductivity of cement slurry during early hydration. Composites, 177, 107435. https://doi.org/10.1016/j.compositesb.2019.10743510.1016/j.compositesb.2019.107435 ↗
17. Liu, Q., Hu, Z., Wang, X., et al. (2022). Numerical study on cracking and its effect on chloride transport in concrete subjected to external load. Construction and Building Materials, 325, 126797. https://doi.org/10.1016/j.conbuildmat.2022.12679710.1016/j.conbuildmat.2022.126797 ↗
18. Ministry of housing and urban-rural development of the People’s Republic of China. (2011). Code for design of concrete mix proportion (JGJ 55–2011). China Architecture & Building Press.
19. Nakarai, K., Ishida, T., & Maekawa, K. (2006). Multi-scale physicochemical modeling of soil–cementitious material interaction. Soils and Foundations, 46(5), 653–663. https://doi.org/10.3208/sandf.46.65310.3208/sandf.46.653 ↗
20. Ohno, M., Limtong, P., & Ishida, T. (2021). Multiscale modeling of steel corrosion in concrete based on micropore connectivity. Journal of Building Engineering., 47, 103855. https://doi.org/10.1016/j.jobe.2021.10385510.1016/j.jobe.2021.103855 ↗
21. Pan, Z., Chen, A., & Ruan, X. (2015). Spatial variability of chloride and its influence on thickness of concrete cover: a two-dimensional mesoscopic numerical research. Engineering Structures, 95, 154–169. https://doi.org/10.1016/j.engstruct.2015.03.06110.1016/j.engstruct.2015.03.061 ↗
22. Ranaivomanana, H., Verdier, J., Sellier, A., et al. (2011). Toward a better comprehension and modeling of hysteresis cycles in the water sorption–desorption process for cement based materials. Cement and Concrete Research, 41(8), 817–827. https://doi.org/10.1016/j.cemconres.2011.03.01210.1016/j.cemconres.2011.03.012 ↗
23. Rao, M., & Ramana, Y. (1992). A study of progressive failure of rock under cyclic loading by ultrasonic and AE monitoring techniques. Rock Mechanics and Rock Engineering, 25(4), 237–251. https://doi.org/10.1007/BF0104180610.1007/BF01041806 ↗
24. Saito, T., Chijiwa, N., Shinozaki, H., et al. (2020). Mitigating bond deterioration under cyclic loading and water exposure. Aci Structural Journal, 117(6), 51725885. https://doi.org/10.14359/5172588510.14359/51725885 ↗
25. Thilakarathna, P., Baduge, K., Mendis, P., et al. (2020). Mesoscale modelling of concrete-a review of geometry generation, placing algorithms, constitutive relations and applications. Engineering Fracture Mechanics, 231, 106974. https://doi.org/10.1016/j.engfracmech.2020.10697410.1016/j.engfracmech.2020.106974 ↗
26. Tong, L. Y., Liu, Q. F., Xiong, Q., et al. (2024). Modeling the chloride transport in concrete from microstructure generation to chloride diffusivity prediction. Computer-Aided Civil and Infrastructure Engineering. https://doi.org/10.1111/mice.1333110.1111/mice.13331 ↗
27. Yang, C., Cho, S., & Wang, L. (2006). The relationship between pore structure and chloride diffusivity from ponding test in cement-based materials. Materials Chemistry and Physics, 100, 203–210. https://doi.org/10.1016/j.Matchemphys.2005.12.03210.1016/j.Matchemphys.2005.12.032 ↗
28. Yu, Y., Chen, X., Gao, W., et al. (2019). Modelling non-isothermal chloride ingress in unsaturated cement-based materials. Construction and Building Materials, 217, 441–455. https://doi.org/10.1016/j.conbuildmat.2019.05.07810.1016/j.conbuildmat.2019.05.078 ↗
29. Zhang, G., Yang, Z., Yan, Y., et al. (2021). Experimental and theoretical prediction model research on concrete elastic modulus influenced by aggregate gradation and porosity. Sustainability, 13(4), 13041811. https://doi.org/10.3390/su1304181110.3390/su13041811 ↗
30. Zhang, Q., He, J., Song, L., et al. (2023). Theoretical model of water vapor absorption–desorption equilibrium of concrete considering the effect of temperature. Construction and Building Materials, 375, 130968. https://doi.org/10.1016/j.conbuildmat.2023.13096810.1016/j.conbuildmat.2023.130968 ↗
31. Zhang, Y., Wan, X., Hou, D., et al. (2018). The effect of mechanical load on transport property and pore structure of alkali-activated slag concrete. Construction and Building Materials, 189, 397–408. https://doi.org/10.1016/j.conbuildmat.2018.09.00910.1016/j.conbuildmat.2018.09.009 ↗