A Review of Concrete Carbonation and Approaches to Its Research under Irradiation

Medvedev, Vyacheslav; Pustovgar, Andrey

doi:10.3390/buildings13081998

Cited by 8 publications

(20 citation statements)

References 89 publications

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“…Carbonation can significantly lower the pH value of concrete near the steel bars, leading to corrosion, structural damage, and a shorter lifespan for the structure [4,5]. After extensive research, it has been found that the service life of reinforced concrete will significantly decrease after 20-30 years of use due to the influence of carbonation [6]. If left unchecked, the carbonation process can lead to the expansion and cracking of concrete, posing a serious risk to personal safety and property integrity [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

A Review of Concrete Carbonation Depth Evaluation Models

Wang,

Yang,

Peng

et al. 2024

Coatings

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Carbonation is one of the critical issues affecting the durability of reinforced concrete. Evaluating the depth of concrete carbonation is of great significance for ensuring the quality and safety of construction projects. In recent years, various prediction algorithms have been developed for evaluating concrete carbonation depth. This article provides a detailed overview of the existing prediction models for concrete carbonation depth. According to the data processing methods used in the model, the existing prediction models can be divided into mathematical curve models and machine learning models. The machine learning models can be further divided into the following categories: artificial neural network model, decision tree model, support vector machine model, and combined models. The basic idea of the mathematical curve model is to directly establish the relationship between the carbonation depth and age of concrete by using certain function curves. The advantage of the mathematical curve model is that only a small amount of experimental data is needed for curve fitting, which is very convenient for engineering applications. The limitation of the curve model is that it can only consider the influence of some factors on the carbonation depth of concrete, and the prediction accuracy cannot be guaranteed. The advantage of using the machine learning model to predict the carbonation depth of concrete is that many factors can be considered at the same time. When there are sufficient experimental data, the trained machine learning model can give more accurate prediction results than the mathematical curve model. The main defect of the machine learning model is that it needs a lot of experimental data as training samples, so it is not as convenient as the mathematical curve model in engineering applications. A future research direction may be to combine a machine learning model with a mathematical curve model to evaluate the carbonation depth of concrete more accurately.

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Section: Introductionmentioning

confidence: 99%

A Review of Concrete Carbonation Depth Evaluation Models

Wang,

Yang,

Peng

et al. 2024

Coatings

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“…According to IAEA documents [1,2], one of the priority research areas in the field of used nuclear fuel storage facilities construction is research into the reinforced concrete structure degradation effects and mechanisms in order to ensure their safe operation [3][4][5][6]. Understanding the mechanisms of concrete degradation in relation to such buildings is inextricably connected to the research into the operating conditions of these structures and external influences leading to accelerated aging of concrete and reinforcing steel [1].…”

Section: Introductionmentioning

confidence: 99%

“…As can be seen from the table above, the impact of stressors leading to concrete degradation is usually associated with a combination of various internal and external influences. Therefore, it should be taken into account at the design stage of deep-burial storage facilities in order to ensure the resistance of concrete structures to intensive degradation during the design life of the building [1,2,4,[6][7][8]. The cumulative influence of factors leading to con-also occur in deeper layers in the presence of cracks or as a result of prolonged interaction with an aggressive environment [1,4].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, it should be taken into account at the design stage of deep-burial storage facilities in order to ensure the resistance of concrete structures to intensive degradation during the design life of the building [1,2,4,[6][7][8]. The cumulative influence of factors leading to con-also occur in deeper layers in the presence of cracks or as a result of prolonged interaction with an aggressive environment [1,4]. At the same time, concrete is quite rarely exposed to chemical reagents in solid form, so concrete degradation processes due to chemical influences usually occur when critical concentrations of chemicals in liquid solutions interacting with concrete are exceeded.…”

Section: Introductionmentioning

confidence: 99%

“…At the same time, concrete is quite rarely exposed to chemical reagents in solid form, so concrete degradation processes due to chemical influences usually occur when critical concentrations of chemicals in liquid solutions interacting with concrete are exceeded. In this case, the degree of impact depends on the activity of the substance, the ambient temperature, the type of cement used, the watercement ratio of the concrete mixture, the degree of compaction of the concrete mixture and the permeability of concrete and other factors [4,[15][16][17][18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Concrete Carbonation of Deep Burial Storage Constructions under Model Aging Conditions

Medvedev,

Pustovgar,

Adamtsevich

et al. 2023

Buildings

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To ensure the safe operation of concrete structures of deep-burial storages, it is necessary to research the degradation mechanisms of such structures. Concrete carbonation is one of the key factors determining the service life of concrete structures. Existing methods for the concrete carbonation process research at various stages of the building structure life cycle make it possible to conduct model tests in the shortest possible time by simulating the operational factors influencing the corrosion process development. The authors carried out model tests of concrete of deep-burial storages using the method of accelerated concrete carbonation and by taking into account the effects of elevated temperatures. When exposed to elevated temperatures during carbonation, concrete samples exhibit a decrease in compressive strength in the first 56 days of testing by an average of 1.6 MPa. However, by the end of the tests (168 days), the strength of concrete samples at elevated temperatures is on average 4 MPa higher. The microstructure and carbonation dynamics were studied by XRD, TGA and SEM. The data obtained in the research can be used to develop models for predicting the service life of concrete structures of deep-burial storages.

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Redox reaction models for carbonation of hardened cement under elevated temperature up to 1000°C

Iwama,

Maekawa

2024

Cement and Concrete Composites

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A Review of Concrete Carbonation and Approaches to Its Research under Irradiation

Cited by 8 publications

References 89 publications

A Review of Concrete Carbonation Depth Evaluation Models

A Review of Concrete Carbonation Depth Evaluation Models

Concrete Carbonation of Deep Burial Storage Constructions under Model Aging Conditions

Redox reaction models for carbonation of hardened cement under elevated temperature up to 1000°C

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