journal article·2026-07Open access

Experimental investigation and numerical study on chloride diffusion coefficient of long-term fly ash concrete

Jian Zhang, Wen-bing Song, Hai-long Wang, Zhi-wei Chen, Qing-feng Liu, Feng-yan Qi

Abstract

Owing to the specific hydration characteristics of fly ash, reasonable replacement of fly ash in concrete can optimize the microstructure of concrete and significantly enhance its resistance to chloride ion penetration. In this paper, both experimental investigations and numerical simulations are performed to study the variation regulation of the chloride diffusion coefficient in fly ash concrete. In the experiments, the influence of the water to binder ratio, aggregate volume fraction, fly ash replacement rate, and curing age on the chloride diffusion coefficient is studied. The experimental results show that, as the water to binder ratio increases or aggregate volume fraction decreases, the chloride diffusion coefficient of concrete increases. When the curing age is 60, 240, and 720 d at a fly ash replacement rate of 30%, the chloride diffusion coefficients are 30.2%, 33.5%, and 51.1% lower than that at a fly ash replacement rate of 10%, respectively. For fly ash replacement rates of 10%, 20%, and 30%, the average decreasing rates of the chloride diffusion coefficient at different aggregate volume fractions and water to binder ratios account for 93.8%, 93.5%, and 93.6% of the total decreasing rates, for a curing-age range from 28 to 540 d. In the numerical simulations, the microstructure of blended system is constructed according to the hydration kinetics model. The reliability of the hydration model is verified by the experimental results. The mesostructure of three-phase concrete is constructed by increasing the scale. A continuous-based random walk method is proposed and applied to the blended bulk paste and concrete scale by scale to obtain the corresponding chloride diffusion coefficients. The reliability of the numerical simulation method is verified by 18 groups of experimental results. The simulation results indicate that the average reduction in the chloride diffusion coefficients when the curing age increases from 720 to 1800 d contributes merely 1.9%, 2.0%, and 2.2% of the total reduction observed over an extended period from 28 to 1800 days, for fly ash replacement rates of 10%, 20%, and 30%, respectively.
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 (45)

Show source-provided references
1. A review on fly ash characteristics—Towards promoting high volume utilization in developing sustainable concrete10.1016/j.jclepro.2017.01.114 ↗
2. Compressive Strength Estimation and CO2 Reduction Design of Fly Ash Composite Concrete10.3390/buildings12020139 ↗
3. Effect of Fly Ash and Sustained Uniaxial Compressive Loading on Chloride Diffusion in Concrete
4. Analytical Solution for Chloride diffusion coefficient of Concrete with Aggregate Shape Effect10.3390/ma14143957 ↗
5. Performance Evaluation of Reinforced Slag-Fly ash-Ceramic Waste Powders Ternary Geopolymer Concrete under Chloride Ingress Environment10.1016/j.conbuildmat.2025.141447 ↗
6. Low-carbon Enhancement of Fly Ash Geopolymer Concrete: Lateral Deformation, Microstructure Evolution and Environmental Impact10.1016/j.jclepro.2023.138610 ↗
7. Chloride Penetration in Concrete under Varying Humidity and Temperature Changes: A Numerical Study10.1016/j.conbuildmat.2024.138380 ↗
8. Numerical Study of Interactive Ingress of Calcium Dissolution, Chloride Transport and Multi-Ions Coupling in Concrete10.1016/j.cemconres.2022.107072 ↗
9. Chloride diffusion models for Type I and fly ash cement concrete exposed to field and laboratory conditions
10. Performance of fly ash concrete with ferronickel slag fine aggregate against alkali-silica reaction and chloride diffusion10.1016/j.cemconres.2020.106265 ↗
11. Modelling of 3D microstructure and effective diffusion coefficient of fly ash blended cement paste10.1016/j.cemconcomp.2020.103586 ↗
12. Experimental Investigation and Analytical Modeling of Chloride diffusion coefficient of Fly Ash Concrete10.3390/ma13040862 ↗
13. Effect of curing temperature on hydration, microstructure and ionic diffusion coefficient of fly ash blended cement paste: A modelling study10.1016/j.conbuildmat.2021.123834 ↗
14. Effect of fly ash on the pore structure of cement paste under a curing period of 3 years10.1016/j.conbuildmat.2017.03.182 ↗
15. Effect of fly ash and repeated loading on diffusion coefficient in chloride migration test10.1016/j.conbuildmat.2010.11.016 ↗
16. Prediction of diffusion coefficient of concrete based on simple analytic equations10.1016/j.cemconres.2003.08.026 ↗
17. Stable Time for Microstructural Parameters of Fly-Ash Concrete and Its Influence on Chloride-Diffusion Stabilit10.1061/(ASCE)MT.1943-5533.0004546 ↗
18. Behavior of Apparent Chloride Diffusion Coefficient of Fly Ash Concrete under Long-Term Marine Exposure
19. Comparison of Test Methods to Determine Eesistance to Chloride Penetration in Concrete: Sensitivity to the Effect of Fly Ash
20. Comparison of Test Methods to Determine Eesistance to Chloride Penetration in Concrete: Sensitivity to the Effect of Fly Ash10.1080/19648189.2022.2028191 ↗
21. Chloride Desorption Mechanisms of Cement Pastes Containing Fly Ash10.1016/j.conbuildmat.2023.130667 ↗
22. Chloride Resistance and Binding Capacity of Cementitious Materials Containing High Volumes of Fly Ash and Slag
23. Understanding the Effect of Curing Age on the Chloride Resistance of Fly Ash Blended Concrete by Rapid Chloride Migration Test10.1016/j.matchemphys.2017.05.011 ↗
24. Evaluation of Chlorides in Fly Ash for Use in Concrete. Cleaner
25. Optimum Proportion of Fly Ash or Slag for Resisting Concrete Deterioration due to Carbonation and Chloride Ingress10.1016/j.istruc.2022.04.087 ↗
26. Effect of Fly Ash as Cement Replacement on Chloride Diffusion, Chloride Binding Capacity, and Micro-Properties of Concrete in a Water Soaking Environment10.3390/app10186271 ↗
27. New Perspective of Service Life Prediction of Fly Ash Concrete10.1016/j.conbuildmat.2013.07.035 ↗
28. Predicting the Chloride Diffusion in Concrete Incorporating Fly Ash by a Multi-Scale Model10.1016/j.jclepro.2021.129767 ↗
29. Machine Learning Method to Explore the Correlation between Fly Ash Content and Chloride Resistance10.3390/ma17051192 ↗
30. Prediction of Chloride Concentration in Fly Ash Concrete based on One-Dimensional Convolutional Neural Network
31. Prediction of Free Chloride Concentration in Fly Ash Concrete by Machine Learning Methods SVR, MLP and CNN10.1680/jmacr.23.00293 ↗
32. Similarity Analysis of Chloride Transport Behavior in Fly Ash Concrete under Different Environments Aiding by Machine Learning Method
33. Modeling of Chloride Diffusion in Concrete Containing Low-Calcium Fly Ash
34. Time Dependent Models of Apparent Diffusion Coefficient and Surface Chloride for Chloride Transport in Fly Ash Concrete10.1016/j.conbuildmat.2012.08.041 ↗
35. Zhang · Exp. Study Theor. Anal. Chloride Diffus. Prop. Cem. Based Mater. PhD Thesis Zhejiang Univ. Technol. Hangzhou · 2019
36. New Numerical Method for Predicting Chloride diffusion coefficient of Concrete Considering the Profiles of Practical Aggregates10.1016/j.conbuildmat.2021.123245 ↗
37. Experimental investigation and numerical simulation for chloride diffusivity of cement paste with elliptical cement particles10.1016/j.conbuildmat.2022.127616 ↗
38. Yu · Microstructure development transport properties portland fly ashcement binary systems view service life predictions PhD Thesis Delft University Technology Delft Netherlands · 2015
39. Numerical Scheme for Predicting Chloride diffusion coefficient of Concrete10.1061/(ASCE)MT.1943-5533.0003883 ↗
40. Influence of Silica Fume on diffusion coefficient in Cement-based Materials: II. Multi-scale Modeling of Concrete diffusion coefficient10.1016/S0008-8846(00)00263-5 ↗
41. Numerical Modeling of Microstructure Development and Chloride Diffusion Coefficient of Cement Paste with Ellipsoidal Particles10.1016/j.conbuildmat.2023.133819 ↗
42. P. Gao, Simulation of Hydration and Microstructure Development of Blended Cements, PhD Thesis, Delft University of Technology, Delft, Netherlands, 2018.
43. Shape Effect of Cement Particles on the Ionic diffusion coefficient of Hardened Cement Paste—A Three-dimensional Numerical Investigation10.1016/j.conbuildmat.2020.118736 ↗
44. Determination of the Effective Conductivity of Heterogeneous Media by Brownian Motion Simulation10.1063/1.346276 ↗
45. Experimental Investigation and Numerical Model for Chloride diffusion coefficient of Long-Age Fly Ash Cement Slurry10.3390/su152014936 ↗