• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2002년도 가을 학술발표회 논문집
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• pp.299-304
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• 2002

This research was to investigate the invasion and diffusion properties of chloride ion on the concrete containing mineral admixtures by the electrically accelerated test. Mineral admixtures selected in mixes were fly-ash, ground granulated blast-furnace slag, silica fume, and meta-kaolin with 3 degrees of replacement ratios. Tang and Nilsson's test method was used to estimate chloride diffusion coefficients of that mixes. As a result, the total current passing charge and the diffusion coefficient of chloride ion were reduced with the use of mineral admixtures and the increase of replacement ratios. In addition, compressive strength was related with diffusion coefficient of chloride ion. Diffusion coefficients of concrete mixed with ground granulated blast-furnace slag showed relatively low value under the range of compressive strength of 400㎏f/㎠.

• International Journal of Concrete Structures and Materials
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• 제4권2호
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• pp.109-112
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• 2010

Part I of this study was devoted to the electrical accelerated chloride diffusion in mortars. In this second part, natural chloride diffusion has been investigated for four types of mortars under exposure to a 0.5 mol/L NaCl solution for a period of up to 35 days. Two different types of sand were used for the production of test samples: siliceous sand (used as a reference) and limestone sand (used in this study). The effect of water to cement ratio and exposure time on the diffusion coefficients of mortars was also investigated. In this study, the total and free chloride content and penetration depth of mortar were measured after immersion, and Fick's second law of diffusion was fitted to the experimental data to determine the diffusion coefficient. Their results show that the use of crushed limestone sand in mortar had a positive effect on the chloride resistance. The apparent diffusion coefficient in all specimens was smaller than that in siliceous sand mortar. However, the chloride penetration of these mortars was increased as exposure time progressed.

• 한국건축시공학회지
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• 제19권5호
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• pp.421-429
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• 2019

양생조건이 GGBFS를 사용한 시멘트 콘크리트의 염화물이온 확산계수에 미치는 영향에 대한 연구를 진행하였다. 양생조건은 기중양생 ($20{\pm}2^{\circ}C$, RH $60{\pm}5%$)과 수중양생 ($20{\pm}2^{\circ}C$)으로 구분하였으며, GGBFS 치환율은 0%(대조군), 30%, 60%로 구분하여 3가지 배합의 콘크리트를 W/B 40%, 50%, 60%로 구분하여 제작하였다. 시험은 콘크리트 압축강도평가, 염화물이온확산계수 평가를 실시하였다. 콘크리트의 압축강도는 GGBFS 치환율이 증가할수록 수중양생 대비 기중양생 시험체의 압축강도의 발현율이 감소하였다. 염화물이온확산계수 측정결과 GGBFS치환율이 증가할수록 염화물이온 확산계수가 감소하였지만, 수중양생대비 기중양생 시험체의 콘크리트 염화물이온 확산계수는 증가하여 최대 111%까지 증가하는 것을 확인하였다.

• Computers and Concrete
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• 제7권5호
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• pp.421-435
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• 2010

This paper utilizes the modified Davis model and the mode coupling theory, as parts of the electrolyte solution theory, to investigate the diffusivity of the ion in concrete. Firstly, a computational model of the ion diffusion coefficient, which is associated with ion species, pore solution concentration, concrete mix parameters including water-cement ratio and cement volume fraction, and microstructure parameters such as the porosity and tortuosity, is proposed in the saturated concrete. Secondly, the experiments, on which the chloride diffusion coefficient is measured by the rapid chloride penetration test, have been carried out to investigate the validity of the proposed model. The results indicate that the chloride diffusion coefficient obtained by the proposed model is in agreement with the experimental result. Finally, numerical simulation has been completed to investigate the effects of the porosity, tortuosity, water-cement ratio, cement volume fraction and ion concentration in the pore solution on the ion diffusion coefficients. The results show that the ion diffusion coefficient in concrete increases with the porosity, water-cement ratio and cement volume fraction, while we see a decrease with the increasing of tortuosity. Meanwhile, the ion concentration produces more obvious effects on the diffusivity itself, but has almost no effects on the other ions.

• 한국구조물진단유지관리공학회 논문집
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• 제14권3호
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• pp.138-143
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• 2010

최근 들어 대형 해양콘크리트 구조물의 건설이 빈번해짐에 따라 콘크리트의 염화물이온확산계수를 정확히 평가할 필요성이 대두되고 있으나, 콘크리트의 염화물이온 확산계수 평가는 장시간이 소요되는 단점 때문에 전기화학적인 전위차 촉진에 의해 단시간에 염화물이온의 확산계수를 추정하기 위한 여러 촉진 시험방법들이 제안되고 있으나 이에 대한 체계적인 연구가 아직은 미비한 실정이다. 따라서 본 연구에서는 시멘트의 성분이 다른 3종류의 시멘트를 대상으로 대표적인 3가지 전기적인 촉진시험에 의해 콘크리트중의 염화물이온의 침투 및 확산특성을 평가하고 이 방법간의 상관성을 분석하였다. 평가결과 시멘트의 성분에 따라 염화물이온의 확산특성은 크게 달라졌으며, 그 중 고로 슬래그 미분말과 플라이애시를 일정비율로 혼합한 3성분계 시멘트의 확산특성이 가장 우수하였으며, 염화물이온 확산 특성은 결과로부터 시험방법간의 상관성은 양호한 것으로 나타났다.

• 한국구조물진단유지관리공학회 논문집
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• 제23권6호
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• pp.18-25
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• 2019

콘크리트는 인장력에 취약한 재료적 특징을 갖기 때문에 콘크리트 구조물의 사용기간 중에 발생하는 균열은 내구성능 평가 시 필히 고려되어야 한다. 본 연구에서는 두 수준의 강도를 고려한 플라이애시 콘크리트를 배합하여 옥외 폭로 시험을 실시하였다. 노출 환경은 비말 조건으로 설정하였으며, 균열 폭이 콘크리트의 염화물 확산 거동에 미치는 영향을 평가하고자 각 배합의 시편에 0.1 mm 간격으로 최대 1.0 mm 까지의 균열 폭을 야기하였다. 그 후 3가지 수준의 노출기간(180일, 365일, 730일)을 고려하여 겉보기 염화물 확산계수 및 표면 염화물량을 산출하였다. 균열 폭의 증가에 따라 두 배합 모두 확산계수가 증가하였으며, 노출기간이 증가함에 따라 확산계수는 감소하였다. 또한 노출 기간이 증가함에 따라 균열 폭이 확산계수에 미치는 영향이 감소하였는데, 이는 염소 이온 기반 수화물이 콘크리트의 확산성을 저감시키기 때문으로 사료된다. 표면 염화물량 거동은 겉보기 염화물 확산계수 거동 대비 균열 폭의 증가에 따른 뚜렷한 변화 거동이 발생하지 않았으며, 고강도 배합에서 보통 강도 배합 대비 78.9 % ~ 90.7 %의 표면 염화물량을 나타내어 강도와의 상관관계를 갖는 것으로 판단된다.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2001년도 봄 학술발표회 논문집
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• pp.677-682
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• 2001

In this study, a method to evaluate diffusion coefficient of chloride ion in cracked concrete is proposed. For cracked concrete having either anisotropic or isotropic crack network, each crack of saturated concrete is considered as a V shape crack, and an effective diffusion coefficient is expressed with diffusion coefficients of cracked part and noncracked part and a so-called crack spacing factor. A comparison with experimental results shows that the diffusion coefficient for cracked concrete is accurately predicted by the effective diffusion coefficient. Prediction results also show that the cracks in concrete markedly change the diffusion properties and accelerate penetration of drifting species. The method in this paper can be effectively used to consider the effect of cracks on concrete diffusion coefficient of cracked concrete.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2008년도 추계 학술논문 발표대회
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• pp.97-101
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• 2008

As the number of concrete building structures in marine environment increases, it is important to study and predict the durability and the compound deterioration of the concrete which is exposed in both chloride and freezing-thawing damage. The concrete's resistance against freezing and thawing is tested based on KS F 2456, while its chloride ion diffusion coefficient is evaluated based on NT BUILD 492. In result, the more exposure to freezing and thawing process, the shorter life it gets, due to the increased amount of chloride ion diffusion coefficient.

• 한국공간구조학회논문집
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• 제23권3호
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• pp.87-94
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• 2023

Chloride is one of the most common threats to reinforced concrete (RC) durability. Alkaline environment of concrete makes a passive layer on the surface of reinforcement bars that prevents the bar from corrosion. However, when the chloride concentration amount at the reinforcement bar reaches a certain level, deterioration of the passive protection layer occurs, causing corrosion and ultimately reducing the structure's safety and durability. Therefore, understanding the chloride diffusion and its prediction are important to evaluate the safety and durability of RC structure. In this study, the chloride diffusion coefficient is predicted by machine learning techniques. Various machine learning techniques such as multiple linear regression, decision tree, random forest, support vector machine, artificial neural networks, extreme gradient boosting annd k-nearest neighbor were used and accuracy of there models were compared. In order to evaluate the accuracy, root mean square error (RMSE), mean square error (MSE), mean absolute error (MAE) and coefficient of determination (R2) were used as prediction performance indices. The k-fold cross-validation procedure was used to estimate the performance of machine learning models when making predictions on data not used during training. Grid search was applied to hyperparameter optimization. It has been shown from numerical simulation that ensemble learning methods such as random forest and extreme gradient boosting successfully predicted the chloride diffusion coefficient and artificial neural networks also provided accurate result.

• Computers and Concrete
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• 제3권6호
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• pp.401-422
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• 2006

A multi-species model based on the Nernst-Planck equation has been developed by using a finite volume method. The model makes it possible to simulate transport due to an electrical field or by diffusion and to predict chloride penetration through water saturated concrete. The model is used in this paper to assess and analyse chloride diffusion coefficients and chloride binding isotherms. The experimental assessment of the effective chloride diffusion coefficient consists in measuring the chloride penetration depth by using a colorimetric method. The effective diffusion coefficient determined numerically allows to correctly reproduce the chloride penetration depth measured experimentally. Then, a new approach for the determination of chloride binding, based on non-steady state diffusion tests, is proposed. The binding isotherm is identified by a numerical inverse method from a single experimental total chloride concentration profile obtained at a given exposure time and from Freundlich's formula. In order to determine the initial pore solution composition (required as initial conditions for the model), the method of Taylor that describes the release of alkalis from cement and alkali sorption by the hydration products is used here. Finally, with these input data, prediction of total and water-soluble chloride concentration profiles has been performed. The method is validated by comparing the results of numerical simulations to experimental results obtained on various types of concretes and under different exposure conditions.