Carbonation in concrete infrastructure in the context of global climate change – Part 1: Experimental results and model development

Talukdar, Sudip; Banthia, Nemkumar; Grace, John R.

doi:10.1016/j.cemconcomp.2012.04.011

Cited by 105 publications

(63 citation statements)

References 21 publications

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“…Another important parameter in the model is the effective diffusivity (D CO2 ) for CO 2 . Various studies suggest a range of potential values for D CO2 depending on the nature of the concrete including cement paste pore volume, cement and water content, and temperature [11]. The model used in this study was found to be sensitive to the CO 2 diffusivity.…”

Section: Parameters For the Leachxs™/orchestra (Lxo) Carbonation Modelmentioning

confidence: 89%

Modeling Carbonation of High-Level Waste Tank Integrity and Closure

Brown

Arnold

Sarkar

et al. 2013

EPJ Web of Conferences

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Abstract. The Cementitious Barriers Partnership (CBP) is focused on reducing uncertainties in current methodologies for assessing cementitious barrier performance and increasing the consistency and transparency in the assessment process. One important set of US Department of Energy challenges is assessing the integrity and closure of the high-level waste (HLW) tanks that currently store millions of gallons of highly radioactive wastes. Many of these tanks are decades past their design lives, have leaked or been overfilled, and must be emptied and closed to satisfy regulatory agreements. Carbonation-induced corrosion has been identified as a primary degradation and possible failure mechanism for the HLW tanks prior to closure. After closure the impact of carbonation (and concurrent oxidation) may be to increase the release and short-range transport of contaminants of concern. HLW tanks may be significantly empty for many years (and possibly decades) prior to closure; the performance of the closed tank over centuries, if not millennia, must be assessed to evaluate the potential release of residual radionuclides to the environment.CBP is developing models to evaluate a representative HLW tank closure scenario including the potential impacts of carbonation on waste tanks prior to and post closure. CBP modeling tools, including LeachXS™/ORCHESTRA, are being used to simulate waste tank carbonation, major constituent leaching, and contaminant releases to evaluate the source term and near-field conditions. Simulations presented here include sensitivity analysis for uncracked concrete to varying input parameters including composition, effective diffusivities, and thermodynamic parameters.

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Section: Parameters For the Leachxs™/orchestra (Lxo) Carbonation Modelmentioning

confidence: 89%

Modeling Carbonation of High-Level Waste Tank Integrity and Closure

Brown

Arnold

Sarkar

et al. 2013

EPJ Web of Conferences

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“…The effect of mineral admixtures, such as HVFA, on service life was not considered. In addition, Talukdar et al [11][12][13] and Stewart et al [14,15] did not consider the non-uniform corrosion in concrete structures.…”

Section: Introductionmentioning

confidence: 99%

“…The evolution of corrosion-induced damage was calculated. However, Talukdar et al [11][12][13] and Stewart et al [14,15] mainly focused on the service life of Portland cement concrete. The effect of mineral admixtures, such as HVFA, on service life was not considered.…”

Section: Introductionmentioning

confidence: 99%

“…However, Yoon et al [8] and den Heede et al [9,10] did not consider the corrosion propagation period after carbonation. Talukdar et al [11,12] proposed a carbonation model for concrete in different cities, such as Mumbai, London, New York City, Sydney, Toronto, and Vancouver. Furthermore, a service life model of concrete, considering corrosion initiation, propagation period, and climate change, has also been proposed [13].…”

Section: Introductionmentioning

confidence: 99%

“…To address the drawbacks in the current models [3][4][5][6][7][8][9][10][11][12][13][14][15], this study presents a probabilistic approach that predicts the service life of concrete structures subjected to carbonation-induced corrosion. The effects of concrete material properties, curing conditions, and climate change on service life are considered.…”

Section: Introductionmentioning

confidence: 99%

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Effect of Climate Change on Service Life of High Volume Fly Ash Concrete Subjected to Carbonation—A Korean Case Study

Park

Wang

2017

Sustainability

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Abstract:The increase in CO 2 concentrations and global warming will increase the carbonation depth of concrete. Furthermore, temperature rise will increase the rate of corrosion of steel rebar after carbonation. On the other hand, compared with normal concrete, high volume fly ash (HVFA) concrete is more vulnerable to carbonation-induced corrosion. Carbonation durability design with climate change is crucial to the rational use of HVFA concrete. This study presents a probabilistic approach that predicts the service life of HVFA concrete structures subjected to carbonation-induced corrosion resulting from increasing CO 2 concentrations and temperatures. First, in the corrosion initiation stage, a hydration-carbonation integration model is used to evaluate the contents of the carbonatable material, porosity, and carbonation depth of HVFA concrete. The Monte Carlo method is adopted to determine the probability of corrosion initiation. Second, in the corrosion propagation stage, an updated model is proposed to evaluate the rate of corrosion, degree of corrosion for cover cracking of concrete, and probability of corrosion cracking. Third, the whole service life is determined considering both corrosion initiation stage and corrosion propagation stage. The analysis results show that climate change creates a significant impact on the service life of durable concrete.

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Machine learning approach in investigating carbonation depth of concrete containing Fly ash

Tran

Thi

et al. 2022

Structural Concrete

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Understanding and predicting concrete carbonation are significant in designing durability and maintaining the service life of reinforced concrete structures. However, this purpose can hardly be reached because of complex carbonation mechanisms depending on various variables such as cement content (C), fly ash content (FA), water content (W), concentration of CO 2 , relative humidity (RH), temperature (T C), and exposition time (Time). This investigation proposes a machine learning (ML) approach including eight ML algorithms such as four single ML models: XGB, GB, RF, and SVM, and four hybrid ML models: XGB_RRHC, GB_RRHC, RF_RRHC, and SVM_RRHC for investigating and predicting concrete carbonation depth containing fly ash. To achieve this purpose, a dedicated database consisting of 688 samples and seven input variables is built, and the performance of eight machine learning models is compared. Single ML model Extreme Gradient Boosting (XGB) using the default hyperparameters exhibited the highest performance with R 2 = 0.9770, RMSE = 2.2725 and MAE = 1.5218. Shapley Additive exPlanations (SHAP) identifies the most influential feature and order of feature effect on concrete carbonation depth. The first four important features can be sorted in order: time of exposition > cement content > water content > CO 2 concentration. Moreover, at a higher value of exposition time, water content, CO 2 concentration, fly ash content, temperature and relative humidity, the carbonation depth of concrete increases. Using high content of cement can reduce the carbonation depth of concrete.

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Carbonation in concrete infrastructure in the context of global climate change – Part 1: Experimental results and model development

Cited by 105 publications

References 21 publications

Modeling Carbonation of High-Level Waste Tank Integrity and Closure

Modeling Carbonation of High-Level Waste Tank Integrity and Closure

Effect of Climate Change on Service Life of High Volume Fly Ash Concrete Subjected to Carbonation—A Korean Case Study

Machine learning approach in investigating carbonation depth of concrete containing Fly ash

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