Experimental study and modelling of concrete carbonation under the coupling effect of freeze-thaw cycles and sustained loads

Chen, Dingshi; Liu, Shuo; Shen, Junjun; Sun, Guorui; Shi, Jun

doi:10.1016/j.jobe.2022.104390

Cited by 12 publications

(4 citation statements)

References 25 publications

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“…There have been studies into a prediction model for the carbonation depth of concrete in the atmospheric environment, and some empirical models and numerical models examining the influence of various factors have been created, including concentration of carbon dioxide [75], temperature and relative humidity of environment [76], cement content [77], and curing conditions [78]. In addition, in recent years, the effect of loading on concrete carbonation has attracted more attention, with some concrete carbonation models that account for different stress states being developed, including axial tensile stress, axial compressive stress, and bending stress [79,80]. Compared with static loading, there are limited studies on the effect of fatigue loading on concrete carbonation and related carbonation models accounting for the fatigue damage.…”

Section: Carbonation Model Accounting For Fatigue Loadmentioning

confidence: 99%

A review of concrete properties under the combined effect of fatigue and corrosion from a material perspective

Liu

Wang

González-Libreros

et al. 2023

Construction and Building Materials

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Section: Carbonation Model Accounting For Fatigue Loadmentioning

confidence: 99%

A review of concrete properties under the combined effect of fatigue and corrosion from a material perspective

Liu

Wang

González-Libreros

et al. 2023

Construction and Building Materials

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“…Wang et al 15 studied the influence of coupled effects between bending tensile stress and carbonation time on the carbonation depth of concrete by using the existing experimental data, established a stress influence coefficient model considering the influence of carbonation time, and proposed a prediction model for the carbonation depth of concrete. Considering the influence of coupled effects between freeze–thaw cycles and sustained loads on carbonation, Chen et al 16 proposed a theoretical model of carbonation depth according to the carbonation mechanism. Shi et al 17 developed a modified carbonation model centered on humidity‐temperature‐CO 2 coupling, and the model parameters were determined based on a 3‐year natural carbonation test.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic prediction model of concrete carbonation depth considering the influence of multiple factors

Qin

Wang

2023

Structural Concrete

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In order to realize the probability prediction of concrete carbonation depth, this paper proposed a probabilistic prediction model of carbonation depth based on 433 sets of existing experimental data. First, considering the influence of water‐binder ratio, fly ash content, stress level, and carbonation time, a deterministic prediction model of carbonation depth was established based on stepwise regression method. Then, based on the established deterministic prediction model, considering the influence of aleatory and epistemic uncertainties, a probabilistic prediction model of carbonation depth was established, and the posterior distributions of the parameters in the probabilistic prediction model were updated iteratively by using Bayesian theory and Markov chain Monte Carlo method, and the influence of standard deviation of prior distribution of the parameters in probabilistic prediction model on their posterior distributions was discussed. Finally, the prediction accuracy of the probabilistic prediction model was verified by comparing with another 127 sets of existing experimental data and the predicted values of the deterministic prediction model, and the effect of the standard deviations of prior distribution of the parameters on the prediction accuracy of the probabilistic prediction model was analyzed. The results showed that the prediction accuracy of the proposed probabilistic prediction model of carbonation depth after three updates was higher than that of the deterministic prediction model. When the standard deviation of prior distributions of the parameters in probabilistic prediction model was 100, the proposed probabilistic prediction model after three updates had the highest prediction accuracy. Under the tensile stress state of concrete, the prediction accuracy of the probabilistic prediction model was improved by 26.76% compared with the deterministic prediction model, and when the concrete under compressive stress state, the prediction accuracy of the probabilistic prediction model was 44.07% higher than that of the deterministic prediction model.

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“…The durability problems of concrete in practical applications mainly include [ 5 , 6 ]: (1) carbonation of concrete and corrosion of steel bars; (2) freeze–thaw damage of concrete; (3) erosion of chemical medium; (4) corrosion of physical concrete wear; (5) alkali–aggregate reaction [ 7 , 8 ]. Among the many durability problems, more attention has been paid to concrete carbonation [ 9 , 10 , 11 ]. Acid gases in the air, such as CO 2 , HCl, SO 2 , Cl 2 , and others, dissolve in water and enter the component’s interior.…”

Section: Introductionmentioning

confidence: 99%

Study on Carbonation Resistance of Polymer-Modified Sulphoaluminate Cement-Based Materials

Zhang

Fang

et al. 2022

Materials

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The use of tricyclic copolymer latex (AMPS) can effectively improve the carbonation resistance of sulphoaluminate cement. This paper investigated polymer AMPS and polycarboxylic acid to modify sulphoaluminate cement materials by exploring the carbonation level of sulphoaluminate cement paste and mortar and the strength before and after carbonation. Then, the optimal dosage of polymer and polycarboxylic acid was obtained so that the carbonation resistance of sulphoaluminate cement reached the best state. The compressive strength was significantly improved by adding AMPS for sulphoaluminate cement paste and mortar. After carbonation, the strength decreased and combined with the carbonation level; it was concluded that the carbonation resistance of sulphoaluminate cement materials was the best when the optimal dosage of AMPS and polycarboxylic acid was 5% and 1.8%, respectively. Due to the addition of AMPS, the hydrated calcium aluminosilicate (C-A-S-H) and hydrated calcium silicate (C-S-H) gels, generated by the hydration of sulphoaluminate cement and the surface of unreacted cement particles, are wrapped by AMPS particles. The water is discharged through cement hydration. The polymer particles on the surface of the hydration product merge into a continuous film, which binds the cement hydration product together to form an overall network structure, penetrating the entire cement hydration phase and forming a polymer cement mortar with excellent structural sealing performance. To prevent the entry of CO2 and achieve the effect of anti-carbonation, adding polycarboxylic acid mainly improves the sample’s internal density to achieve the anti-carbonation purpose.

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Experimental study and modelling of concrete carbonation under the coupling effect of freeze-thaw cycles and sustained loads

Cited by 12 publications

References 25 publications

A review of concrete properties under the combined effect of fatigue and corrosion from a material perspective

A review of concrete properties under the combined effect of fatigue and corrosion from a material perspective

Probabilistic prediction model of concrete carbonation depth considering the influence of multiple factors

Study on Carbonation Resistance of Polymer-Modified Sulphoaluminate Cement-Based Materials

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