Diffusion-reaction models for concrete exposed to chloride-sulfate attack based on porosity and water saturation

Zhuang, Zhijie; Mu, Song; Guo, Zheng; Liu, Guangyan; Zhang, Jinfei; Miao, Changwen

doi:10.1016/j.cemconcomp.2023.105378

Cited by 9 publications

(2 citation statements)

References 72 publications

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“…These ions can penetrate concrete samples through the pores on the concrete surface, subsequently reacting with cement hydration to produce gypsum and ettringite. This reaction can lead to spalling and cracks in the concrete surfaces [82]. Lingyu et al [83] observed that the permeability of GPC samples increases with an elevated Si/Al ratio in GPC made of metakaolin.…”

Section: Na2sio3 and Naohmentioning

confidence: 99%

Factors affecting durability properties of GPC: A review

Ezuldin,

Raoof,

Alattar

et al. 2024

Res. Eng. Struct. Mat.

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The imperative to find sustainable alternatives to conventional cement, given its energy-intensive production and significant environmental impact, has driven research into alternative binder materials for civil infrastructure. This paper explores Geopolymer concrete (GPC), a polymer-based binder technology, as a promising solution to reduce the environmental footprint associated with traditional cement production. The study meticulously examines various aspects of GPC, focusing on its impact on crucial durability properties for infrastructure applications. This includes an in-depth analysis of GPC properties, elucidating characteristics influencing performance. In addition to fundamental properties, the paper critically evaluates the resistance of geopolymer pastes and concrete to a spectrum of extreme conditions. The discussion spans testing methodologies for both heat- and ambient-cured geopolymers, providing insights into their performance and durability across diverse environmental challenges. This comprehensive review aims to enhance the understanding of GPC technology, offering valuable insights for researchers, engineers, and industry professionals committed to sustainable and resilient infrastructure solutions.

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Section: Na2sio3 and Naohmentioning

confidence: 99%

Factors affecting durability properties of GPC: A review

Ezuldin,

Raoof,

Alattar

et al. 2024

Res. Eng. Struct. Mat.

View full text Add to dashboard Cite

show abstract

“…Numerical analysis is a common method of studying the interaction between these ions [41,42]. Zhuang [43] developed a numerical model of the diffusion response of their coupled erosion and investigated the effects of porosity and diffusion coefficient on the ion distribution and service life of concrete under dry and wet cycling and calcium leaching conditions. The researchers also focused on protective measures against coupled ion erosion.…”

Section: Introductionmentioning

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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Monitoring long-term chloride penetration into wave power marine concrete structures under repeated air pressure

Park,

Kim,

et al. 2024

Construction and Building Materials

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Diffusion-reaction models for concrete exposed to chloride-sulfate attack based on porosity and water saturation

Cited by 9 publications

References 72 publications

Factors affecting durability properties of GPC: A review

Factors affecting durability properties of GPC: A review

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

Monitoring long-term chloride penetration into wave power marine concrete structures under repeated air pressure

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