Chloride diffusion and time to corrosion initiation of reinforced concrete structures

Peng, Jiawei; Tang, Huang; Xiao, Linfa; Cheng, Xiaokang; Zhang, Jianren

doi:10.1680/jmacr.19.00276

Cited by 10 publications

(2 citation statements)

References 21 publications

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“…The authors found that this method provides additional and useful information for the probabilistic durability design and possible maintenance strategies at member level. (Peng et al, 2021) found that the probability of corrosion initiation considering spatial variability is 13-18% greater than that without consideration of spatial variability. This indicates that neglecting spatial variations in evaluating probability of corrosion initiation overestimates the structural reliability.…”

Section: Application Of Modelling Spatial Variability In Structural R...mentioning

confidence: 92%

Random field modelling of spatial variability in concrete – a review

Botte,

Vereecken,

Caspeele

2023

Structure and Infrastructure Engineering

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Concrete is a heterogeneous material, consisting of different constituents such as aggregates of different sizes and cement paste. Due to the heterogeneity of the concrete, its properties such as strength, stiffness, permeability, etc. show variations in space. In scientific literature, several investigations have shown the influence of spatial variation of material properties on the reliability of reinforced concrete structures, and it was concluded that spatial variability and spatial correlation should be accounted for to obtain accurate estimations of e.g. the load-bearing capacity of degrading concrete structures.For this purpose, random fields are often applied in literature. To apply these random fields in a structural reliability analysis, a correlation model and corresponding correlation length need to be defined. Nevertheless, experimental results are not always available to derive the correlation model, and hence some modelling assumptions are required. However, there is no consensus yet in literature on which correlation model to apply for the different concrete properties. This paper provides an overview of different correlation models applied in literature in relation to the analysis of reinforced concrete structures.

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Section: Application Of Modelling Spatial Variability In Structural R...mentioning

confidence: 92%

Random field modelling of spatial variability in concrete – a review

Botte,

Vereecken,

Caspeele

2023

Structure and Infrastructure Engineering

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“…The chloride diffusion coefficient should also consider the temperature effect, which can be presented as [47]:…”

Section: Relationship Between the Diffusion Coefficient And Time Temp...mentioning

confidence: 99%

Test and Mesoscopic Analysis of Chloride Ion Diffusion of High-Performance-Concrete with Fly Ash and Silica Fume

et al. 2022

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High performance concrete (HPC) is a kind of concrete with mineral admixtures, which has better resistance ability to chloride ions diffusion than ordinary concrete. In the present study, the authors carried out a chloride ion diffusion experiment for the HPC with fly ash and silica fume. The influence of the water–binder ratio (W/B), binary (Portland cement–Fly ash (PC-FS) and Portland cement–Silica fume (PC-SF) and ternary (Portland cement–Fly ash–Silica fume (PC-FA-SF)) combinations on the concrete compressive strength and chloride ion diffusion was investigated. It was found that the compressive strength of normal concrete and HPC increase with the decrease in the W/B, the ratio of W/B deceasing value to strength increasing value for normal concrete is 0.74, and for the HPC is 0.20, so the influence of the W/B on the concrete strength for normal concrete was obviously more than the HPC. The influence of the contents of the SF or FA on developing the concrete strength was limited. The concrete compressive strength of ternary combination specimens decreases with the increase in FA or SF when the content of the other mineral admixture SF or FA remained unchanged. The ternary combination was more efficient in prohibiting chlorides ingress insider the specimens than the binary combination. The mesoscopic simulation and the tested value of the chloride ion under the same depth was close, the average ratio of simulation value to tested value was 0.91. The aggregate shape and distribution also had a negligible influence on chloride diffusivity in the HPC, but the chloride ion concentration increased with the increase in aggregate size.

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