Chloride diffusion in marine pipe pile considering time-dependent surface chloride concentration: Experimental analysis and analytical model

Chen, Deqiang; Mei, Guoxiong; Xiao, Liang

doi:10.1016/j.apor.2023.103722

Cited by 2 publications

(1 citation statement)

References 42 publications

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“…In contrast, the splash zone is less affected by the wet-dry cycle, but more physically affected by seawater, with more prominent physical effects. As a result, the two zones have different chloride ion concentrations [104,105] and the splash zone is more corrosive [106]. Apparently, some studies have simplified the tidal and splash zones as having similar corrosion mechanisms and combined the two in a study, ignoring their unique erosion mechanisms, which is not rigorous enough.…”

Section: Corrosion Mechanisms Of Concrete Under Different Exposure Co...mentioning

confidence: 99%

Advances in Modeling Surface Chloride Concentrations in Concrete Serving in the Marine Environment: A Mini Review

Zhao,

Li,

Guan

2024

Buildings

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Chloride corrosion is a key factor affecting the life of marine concrete, and surface chloride concentration is the main parameter for analyzing its durability. In this paper, we first introduce six erosion mechanism models for surface chloride ion concentration, reveal the convection effect in the diffusion behavior of chloride ions, and then introduce the corrosion mechanisms that occur in different marine exposure environments. On this basis, the analysis is carried out using empirical formulations and machine learning methods, which provides a clearer understanding of the research characteristics and differences between empirical formulas and emerging machine learning techniques. This paper summarizes the time-varying model and multifactor coupling model on the basis of empirical analysis. It is found that the exponential function and the reciprocal function are more consistent with the distribution law of chloride ion concentration, the multifactor model containing the time-varying law is the most effective, and the Chen model is the most reliable. Machine learning, as an emerging method, has been widely used in concrete durability research. It can make up for the shortcomings of the empirical formula method and solve the multifactor coupling problem of surface chloride ion concentration with strong prediction ability. In addition, the difficulty of data acquisition is also a major problem that restricts the development of machine learning and incorporating concrete maintenance conditions into machine learning is a future development direction. Through this study, researchers can systematically understand the characteristics and differences of different research methods and their respective models and choose appropriate techniques to explore the durability of concrete structures. Moreover, intelligent computing will certainly occupy an increasingly important position in marine concrete research.

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Section: Corrosion Mechanisms Of Concrete Under Different Exposure Co...mentioning

confidence: 99%

Advances in Modeling Surface Chloride Concentrations in Concrete Serving in the Marine Environment: A Mini Review

Zhao,

Li,

Guan

2024

Buildings

View full text Add to dashboard Cite

show abstract

Enhancing structural durability in marine concrete piles with initial defects: RS-AAT-induced advection to suppress chloride ion penetration

He,

Xiao,

Chen

et al. 2024

Engineering Structures

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Chloride diffusion in marine pipe pile considering time-dependent surface chloride concentration: Experimental analysis and analytical model

Cited by 2 publications

References 42 publications

Advances in Modeling Surface Chloride Concentrations in Concrete Serving in the Marine Environment: A Mini Review

Advances in Modeling Surface Chloride Concentrations in Concrete Serving in the Marine Environment: A Mini Review

Enhancing structural durability in marine concrete piles with initial defects: RS-AAT-induced advection to suppress chloride ion penetration

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