Effect of External Loads on Chloride Diffusion Coefficient of Concrete with Fly Ash and Blast Furnace Slag

Li, Hongming; Wu, Jin; Yongji, Song; Wang, Zhe

doi:10.1061/(asce)mt.1943-5533.0000941

Cited by 16 publications

(4 citation statements)

References 7 publications

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“…Previous research had indicated that the chloride ion penetration process in concrete in the stressed state differs from that of unstressed concrete (e.g. He 2004;Li et al 2011Li et al , 2014. He (2004), Wang et al (2011), Li et al (2011) and Fu et al (2016) confirmed that the chloride ions penetrated more quickly into concrete under tensile stress state than concrete under zero-stress state, and the rate of chloride ion penetration was slowest in concrete under compressive stress state.…”

Section: Introductionmentioning

confidence: 89%

“…As a result, the laws relating the stress influence coefficient with the concrete stress are dependent on the concrete grade. With the aim to devise the stress influence coefficient equations suitable for different concrete grades, the authors collect experimental data in the literature (Zhang 2001;Shui 2005;Huang 2007;Kim et al 2010;Li et al 2011Li et al , 2014Sun et al 2011;Jin et al 2011) to further investigate the relationship between stress influence coefficient and concrete stress ratio, the relevant equations are proposed and a modified chloride diffusion model is obtained in this paper. At last, three groups of experimental data are used to validate the modified chloride diffusion model.…”

Section: Introductionmentioning

confidence: 99%

“…Chloride diffusion coefficient under different concrete stress states (data from Huang 2007) Chloride diffusion coefficient under different concrete stress states (data fromLi et al 2014) …”

mentioning

confidence: 99%

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Modelling Chloride Diffusion in Concrete With Influence of Concrete Stress State

Wang

et al. 2017

Journal of Civil Engineering and Management

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Under coastal or marine conditions, chloride erosion is the major accelerating factor of reinforcement corrosion. Therefore, it is of vital importance to investigate the chloride diffusion model. Research reveals that the concrete stress state has great influence on chloride diffusion; therefore a stress influence coefficient was incorporated in chloride diffusion coefficient model by many researchers. By referring to the experimental data from eight different researchers, the law between stress influence coefficient and concrete stress ratio is studied in detail, and equations relating the stress influence coefficient with the concrete stress ratio are established. Compared with three typical existing groups of equations, it is found that the proposed equations give the most accurate estim.ation of the stress influence coefficient. Hence, the proposed equations can be adopted to improve the valuation of chloride diffusion coefficient, and a modified chloride diffusion model is put forward. Three groups of experimental data are used to validate the modified chloride diffusion model, which is shown to be reasonable and having high prediction accuracy.

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Section: Introductionmentioning

confidence: 89%

Section: Introductionmentioning

confidence: 99%

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Modelling Chloride Diffusion in Concrete With Influence of Concrete Stress State

Wang

et al. 2017

Journal of Civil Engineering and Management

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“…Along with erosion time effect on chloride ion diffusion coefficient, the load applied on the structures also affects chloride ion diffusion coefficient. Many researchers have not only conducted a large number of experimental research works on chloride ion diffusion in stressed concretes, but also have established prediction models for chloride ion diffusion in concrete under various load conditions [31,32]. However, the models only consider the stress level effect at the most unfavorable position of the cross-section on chloride ion diffusion coefficient.…”

Section: Introductionmentioning

confidence: 99%

Simulation Approach for Random Diffusion of Chloride in Concrete under Sustained Load with Cellular Automata

Lin

2022

Materials

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Steel bar corrosion caused by chloride is the major reason for concrete structure durability failures in a corrosive environment. An accurate simulation of chloride ion diffusion in concrete is hence critical to durability design, maintenance, and reinforcement of concretes in erosive environments. To accurately simulate actual chloride ion diffusion in concretes, an improved three-dimensional neighborhood type is proposed according to the mechanism of chloride ion diffusion in concrete, and a three-dimensional cellular automaton model (3D CA model) for describing the diffusion process of chloride in concrete is established based on this neighborhood type. The accuracy and correctness of simulation results obtained from the 3D CA model were verified by comparison with Fick’s second law analytical solutions. Based on the 3D CA model, an improved modified 3D CA model is developed (3D RTCA model) which takes into account random chloride ion distribution in concrete, the time dependence of the coefficient of chloride ion diffusion, and the structure stress level effect on chloride ion diffusion. Numerical simulation results reveal that the 3D RTCA model has higher calculation accuracy in predicting long-term concentration of chloride in concretes, and the simulation results are closer to experimental findings than analytical results obtained based on Fick’s second law. Compared with Fick’s second law analytical solutions, the 3D RTCA model can reflect more truly the cross-sectional stress level effect on chloride ion diffusion through simple local evolution rules. Besides, the 3D RTCA model can genuinely describe the randomness and uncertainty of the chloride diffusion process. The 3D RTCA model developed in the current study provides a novel perspective and method to investigate chloride ion diffusion in concrete from structural level.

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Probabilistic Prediction Model for the Chloride Diffusion Coefficient of Concrete under Tensile and Compressive Stresses

Guo

Shi

2021

KSCE J Civ Eng

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To accurately describe the uncertainty of chloride diffusion coefficient of concrete under tensile and compressive stresses, an iterative algorithm is proposed to reduce the influence of the uncertainty of prior variance on the posterior results. Subsequently, a probabilistic prediction model is developed to take into account the stress effect on chloride diffusion coefficient by using a Bayesian algorithm and Markov Chain Monte Carlo (MCMC) method. The existing deterministic model is adopted as prior model for this probabilistic model, and 180 sets of chloride diffusion coefficient data under different stresses obtained from 23 published journal papers are used as posterior information for this probabilistic model. The accuracy of the proposed model is validated by comparing with the experimental samples and other existing models. Analysis results show that the proposed probabilistic prediction model provided a reasonable confidence interval of the correction coefficient of stress effect on chloride diffusion coefficient. The provided iterative algorithm reduce the length of confidence interval with the exact prediction precision. Chloride diffusion coefficient Stress level Bayesian theoryIterative method Probabilistic prediction model CORRESPONDENCE Zengwei Guo

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Effect of External Loads on Chloride Diffusion Coefficient of Concrete with Fly Ash and Blast Furnace Slag

Cited by 16 publications

References 7 publications

Modelling Chloride Diffusion in Concrete With Influence of Concrete Stress State

Modelling Chloride Diffusion in Concrete With Influence of Concrete Stress State

Simulation Approach for Random Diffusion of Chloride in Concrete under Sustained Load with Cellular Automata

Probabilistic Prediction Model for the Chloride Diffusion Coefficient of Concrete under Tensile and Compressive Stresses

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