A Boltzmann-Matano analysis of chloride diffusion

Tumidajski, Peter J.; Chan, Gordon; Feldman, R.F.; Strathdee, Graeme

doi:10.1016/0008-8846(95)00149-7

Cited by 29 publications

(9 citation statements)

References 4 publications

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“…However our earlier experiments [7] have demonstrated that there is a large variation in carbon concentration across the weld interface (~1 at.% in 9Cr side and ~ 0.05 at% in 2¼Cr side after 15 h of aging at 1023 K) making this assumption invalid. Generally, concentration dependent diffusivity, D(c) is determined from the concentration vs distance profile using BoltzmannMatano analysis (B-M analysis) [10][11][12][13] where D(c) is given as:…”

Section: Details Of the Calculation For Determining D(c)mentioning

confidence: 99%

Evaluation of concentration dependant diffusion coefficients of carbon in a dissimilar joint of ferritic steels

Sudha

Anand

Saroja

et al. 2010

Trans Indian Inst Met

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When dissimilar weldments between 9Cr-1Mo and 2¼Cr-1Mo ferritic steels are exposed to high temperature, microstructural and microchemical modifications are observed near the weld interface. Diffusion of carbon driven by the activity gradient from low Cr to high Cr steel leads to the formation of carbon enriched 'hard' zone and carbon depleted 'soft' zone near the fusion joint. The present paper deals with the measurement of carbon diffusion profiles and the evaluation of concentration dependent diffusion coefficients of carbon across the interface at a temperature of 1023 K. Accurate carbon concentration profiles are generated using carbon calibration graph. The profiles are smoothened to reduce the experimental scatter and the concentration dependant diffusion coefficients are determined using Den Broeder's method. In the base materials, where the concentration gradient is extremely small, D(c) values are determined using Hall's method. Variation in D(c) across the weld interface is understood based on the microstructural and microchemical changes that take place during heat treatment.

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Section: Details Of the Calculation For Determining D(c)mentioning

confidence: 99%

Evaluation of concentration dependant diffusion coefficients of carbon in a dissimilar joint of ferritic steels

Sudha

Anand

Saroja

et al. 2010

Trans Indian Inst Met

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“…Mangat [2] studied the relationship between the diffusion coefficient of chlorine ion in concrete and time through experiments. Tumidajski [3] deduced the diffusion coefficients of chlorine ion by Boltzmann2Matano method and found the relationship between diffusion coefficient, time, distance and concentration. And he concluded that the diffusion coefficient of chlorine ion can be expressed as Boltzmann variables.…”

Section: Prefacementioning

confidence: 99%

Survey and analysis of chloride-induced corrosion on hydraulic concrete in the east of zhejiang

Zhou

Chen

Guo

et al. 2011

2011 International Symposium on Water Resource and Environmental Protection

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The aging of hydraulic concrete construction has been surveyed in the east of Zhejiang. The chloride-induced corrosion on the concrete surface was counted and analyzed. The relationships of 28 days concrete strength, water-cement ratio, admixture, sand ratio and the 28 days electric flux ratio are compared by the Compos System. The influence of the chloride ion diffusion is studied under changing of mix proportion. It has be found that the inadequacy of concrete cover ply is quite common and leading to severe reduction for structural durability.

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“…Concrete porosity can be measured easily in shorter time than chloride diffusivity test, so that in contrast, the depth of steady diffusion area 0 X can be analyzed by Formula (2) and alike, and the diffusion coefficient can be shown by Formula (4). Constant a can be calculated on the basis of exposure time of existing concrete.…”

mentioning

confidence: 99%

“…Supposing that water-cement of existing concrete can be obtained or inferred and the mean of chloride diffusion coefficient of the present time can be calculated likewise with actual concentration in different depths in the way of Fick's second law, the dependent-time chloride diffusivity of the existing concrete can be predicted by Formula (4).…”

mentioning

confidence: 99%

“…Fick's second diffusion law is nowadays the essential prediction basis for chloride ions content and diffusion coefficients in concrete [4,5] . As concrete is a hydraulic material to need a very long time for the hydration process, and there are other factors subsuming actual environment, loads, temperature and humidity in the process of using, diffusion coefficients in concrete are influenced perhaps by them all.…”

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confidence: 99%

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