Prediction of chloride ingress into saturated concrete on the basis of a multi-species model by numerical calculations

Nguyen, Trong Q.; Baroghel-Bouny, Véronique; Dangla, Patrick

doi:10.12989/cac.2006.3.6.401

Cited by 28 publications

(35 citation statements)

References 22 publications

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“…In the above equation, Ci stands for the charged species (Cl-, Na+, OH-, K+, Ca2+) present in the porous solution and Zi stands for the valance number of the species [29]. The principle of electro-neutrality states that a bulk matter cannot have a chemically-significant unbalance of positive and negative ions [30]: As an example, the model MsDiff assumes that the binding of one chloride ion is balanced by the release of one hydroxyl ion [1].…”

Section: Multi-species Theorymentioning

confidence: 99%

Predictive Models of Chloride Penetration in concrete: An Overview

Khitab¹,

Anwar²,

Arshad³

2017

MUST J. Eng. and Appl. Sci.

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This article presents a brief review of the models aimed to predict the penetration of chloride ions in concrete. The work highlights the two well-known approaches i.e. Fick's laws and Nernst-Planck equation. Difference of opinion about the two approaches as well as within each approach is also elaborated. Diverse accelerated methods for determining the chloride diffusivity in concrete are also described. Different numerical schemes and analytical solutions as adapted in the models are also mentioned. Effort is made to present the models in a chronological way and therefore the presented list is not exhaustive.

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Section: Multi-species Theorymentioning

confidence: 99%

Predictive Models of Chloride Penetration in concrete: An Overview

Khitab¹,

Anwar²,

Arshad³

2017

MUST J. Eng. and Appl. Sci.

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“…A study was conducted by Nguyen et al [5] to compare among nil current, Poisson's equation, and electroneutrality condition in modeling of chloride penetration into concrete. The study showed a good agreement of concentration profiles of chloride and other ions obtained by using the three different methods.…”

Section: Basic Formulation Of Governing Equationsmentioning

confidence: 99%

“…As shown in Eq. (4), F/ε & 10 16 , which is a very large number often causing numerical difficulty in the computation [5,8].…”

Section: Basic Formulation Of Governing Equationsmentioning

confidence: 99%

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Coupled diffusion of chloride and other ions in saturated concrete

Damrongwiriyanupap

2011

Front. Archit. Civ. Eng. China

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Corrosion of reinforcing steel due to chloride ions is one of the severe deterioration problems in longterm performance of reinforced concrete structures. The deterioration process is frequently found in marine concrete structures, highway pavements, and bridges exposed to deicing salts. The diffusion of chloride ions is associated and strongly affected by other ions in the pore solution in concrete. In this paper, chloride penetration into concrete structures was mathematically characterized by the Nernst-Planck equation which considered not only diffusion mechanism of the chloride ions but also ionic interaction among other ions coming from externally applied deicers and within the Portland cement paste. Electroneutrality was used to determine the electrostatic potential induced by the ionic interaction. The material models of chloride binding capacity and chloride diffusion coefficient were incorporated in the governing equations. The governing equations were solved by using finite element method. A numerical example was used to illustrate the coupling effect of multi-ionic interactions and the effect of influential parameters. The numerical results obtained from the present model agreed very well with available test data.

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“…[10,30] for mortars), need to be described (fitted) by an empirical law, as those proposed in [31,32]. It can be proven that these ''unphysical" variations are the result of neglecting the (electrical) influence of the other ions present in the solution (see [29,33,34]). It is worth noting that, despite this drawback, the single-ion approach is still used, in particular in the methods of assessment of chloride diffusion coefficients by diffusion or migration tests [21], and in a great number of prediction models (see the state-of-the-arts provided in [5,18]).…”

Section: Level 1 (Chloride Diffusion Model)mentioning

confidence: 99%