Study on the Influence of Freeze-Thaw on the Carbonation Property of Fly Ash Concrete

Niu, Jian; Liu, Yan; Zhai, Hai Tao

doi:10.4028/www.scientific.net/amm.357-360.939

Cited by 4 publications

(8 citation statements)

References 2 publications

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“…The experimental data adopted to establish the probabilistic prediction model of concrete carbonation depth in this paper are all collected from the references (i.e., Tables A1–A6), 21–35 and these experimental data are obtained from the accelerated carbonation tests in accordance with the China Standard (GB/T 50082) 36 . In these accelerated carbonation tests in the references, 21–35 the temperature in the accelerated carbonation chamber was controlled within (20 ± 5) °C, the relative humidity was controlled within (70 ± 5) %, and the CO 2 concentration was within (20 ± 3) %. Due to the temperature, relative humidity, and the CO 2 concentration of the accelerated carbonation tests in the references 21–35 are approximately identical, the probabilistic prediction model of carbonation depth in this paper only considers other factors affecting carbonation, including water‐binder ratio R wb , fly ash content R FA , concrete stress level δ , and carbonation time t .…”

Section: Influence Factors Of Carbonation Depthmentioning

confidence: 99%

“…The main reason is that, with the increase of the tensile stress level, the microcracks inside the concrete continue to extend, and new cracks continue to generate, which provides more channels for the diffusion of CO 2 inside concrete, leading to the increase of carbonation depth. Relevant studies found that the relationship between carbonation depth and tensile stress level could be approximately described by linear function, 6,11,15,46 quadratic polynomial function, 33,47 exponential function, 48 and so forth. It can be concluded that, compared with other functions, the linear function is widely adopted.…”

Section: Influence Factors Of Carbonation Depthmentioning

confidence: 99%

“…However, if the volume of new cracks is larger than that of microcracks closed due to compressive stress, the total porosity of concrete increases, resulting in more channels for CO 2 diffusion, so the carbonation depth of concrete increases 49–52 . Some researchers found that the relationship between carbonation depth and compressive stress level could be approximately described by linear function, 46,53 quadratic polynomial function, 6,30,33,47,49 cubic polynomial function, 50 and so forth. It can be concluded that, compared with other functions, the quadratic polynomial function is widely adopted.…”

Section: Influence Factors Of Carbonation Depthmentioning

confidence: 99%

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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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Section: Influence Factors Of Carbonation Depthmentioning

confidence: 99%

Section: Influence Factors Of Carbonation Depthmentioning

confidence: 99%

Section: Influence Factors Of Carbonation Depthmentioning

confidence: 99%

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

Qin

Wang

2023

Structural Concrete

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“…e effect of the freeze-thaw cycle on concrete carbonation is analysed by studying the neutralisation depth under alternate freezethaw cycles and carbonation as well as the test results of neutralisation depth in the single carbonation mode. e influence coefficient (λ F ) of the freeze-thaw cycle on the neutralisation depth of the concrete is introduced, which is expressed as follows [13]:…”

Section: Influence Coefficient Of the Freeze-aw Cycle On The Developmmentioning

confidence: 99%

“…erefore, in the design of concrete materials, alternate deteriorations caused by multiple factors should be considered. Hitherto, some preliminary and fragmentary studies have been performed to study the combined effect of freeze-thaw and carbonation on ordinary concrete and fly ash concrete [11][12][13][14][15]. Because research into concrete with fly ash as fine aggregate is restricted to the mechanical properties or effect of a single factor [16][17][18][19][20], conclusions of studies under single-factor conditions are limited.…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation of Neutralisation of Concrete with Fly Ash as Fine Aggregate in Freeze‐Thaw Environment

Zhang

Mao

Yang

et al. 2019

Advances in Civil Engineering

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To study the durability of concrete with fly ash as fine aggregate under alternate freeze-thaw and carbonation, freeze-thaw and carbonation cyclic tests are conducted to explore variation characteristics such as relative dynamic modulus of elasticity and neutralisation depth. The influence coefficient (λC) of carbonation on concrete freeze-thaw damage and the influence coefficient (λF) of freeze-thaw on concrete neutralisation are introduced. In addition, scanning electron microscopy is performed to reveal the deterioration mechanism of the alternating effect. Finally, through a regression analysis of test data, the mathematical expression of the composite damage coefficient kF under alternate freeze-thaw and carbonation is obtained. Based on these findings, a prediction model of the neutralisation depth of concrete is established with number of freeze-thaw cycles and water-cement ratio as parameters. The values calculated through this model and the values measured in the tests are highly correlated. This provides a theoretical reference and basis for the analysis of concrete durability in a multifactor environment.

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Carbonation resistance of fly ash concrete

Lye

Dhir

Ghataora

2015

Magazine of Concrete Research

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Based on systematic analysis, evaluation and synthesis of a 30 000 strong data matrix generated from 213 studies from 33 countries published since 1968, this paper details the extent of research that has been undertaken and discusses the effect of fly ash (FA) on the carbonation and carbonation-induced corrosion of concrete. It is shown that FA as a cement component, such as those adopted in BS EN 197-1:2011, increases the carbonation rate of concrete, both when concrete is designed in terms of equal water/cement ratio or strength, though with the latter to a lesser extent. This increase in carbonation has also been confirmed for in-service concrete. The net effect of FA content on the carbonation of concrete is dependent upon the combination of mix design, curing and exposure related parameters. FA in concrete is also shown to increase the corrosion of reinforcement, which can only be overcome by increasing the cover to reinforcement, concrete strength, or a combination of the two, beyond those specified in standards such Eurocode 2, BS EN 206-1:2013 and BS 8500. Contrary to the commonly held view, this study shows that the relative rate of carbonation of FA concrete with reference to corresponding Portland cement concrete remains similar under accelerated and natural carbon dioxide exposures.

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Study on the Influence of Freeze-Thaw on the Carbonation Property of Fly Ash Concrete

Cited by 4 publications

References 2 publications

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

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

Experimental Investigation of Neutralisation of Concrete with Fly Ash as Fine Aggregate in Freeze‐Thaw Environment

Carbonation resistance of fly ash concrete

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