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.

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.

양생조건에 따른 고로슬래그를 혼입한 콘크리트의 염화물 이온 확산계수의 변화를 관찰하기 위하여 GGBFS 혼입율 0%, 30%, 60%로 구분하고 W/B를 40%,50%,60%로, 양생조건을 기중양생과 수중양생으로 시험체를 제작하여 콘크리트 염화물 이온 확산계수 평가를 실시하였다. 평가결과 GGBFS의 치환율이 증가할수록 콘크리트 염화물이온 확산계수는 감소하였지만, 양생조건에 따른 확산계수 편차가 증가하는 것을 확인하였다. 특히 W/B가 증가할수록 그 차이는 증가하였으며. W/B 60% 조건에서 수중양생 대비 기중양생 시험체의 염화물 이온 확산계수는 2배 가까이 증가하는 것을 확인하였다.

해안 지역에 시공된 철근 콘크리트 구조물은 해수 중의 염소 이온에 의해 내부 철근이 부식하게 된다. 특히 해안지역에서는 해수에 침지되는 경우뿐만 아니라 조수간만 및 비래염분의 영향을 받기 때문에 이에 대한 고려가 필수적이다. 본 연구에서는 3가지 수준의 노출 환경(침지대, 간만대, 비말대)과 노출기간 180일, 365일, 730일을 고려하여 해양환경노출실험을 실시하였다. 대상 배합은 3가지 수준의 물-결합재 비 및 2가지 수준의 플라이애시 치환률(0 %, 30 %)을 고려하여 설정하였다. 모든 노출조건에서 플라이 애시 치환 배합이 OPC 배합 대비 낮은 겉보기 염화물 확산계수를 나타내었으며, 이는 플라이애시의 포졸란 반응이 원인으로 사료된다. 플라이애시 배합은 노출 기간 180일에서는 플라이애시 치환 배합이 OPC 배합 대비 최대 63 5 %의 감소율을, 노출 기간 730일 에서는 최대 55.8 %의 감소율을 나타내었다. 노출 조건에 따른 확산계수 거동을 평가한 결과, 플라이애시 치환 배합에서는 간만대, 침지대, 비말대 순으로 확산계수가 평가되었다. 간만대에서는 건습이 반복되어 염화물 이온의 침투가 빠르게 일어나는 것으로 보인다.

In this study, the chloride ion diffusion coefficient of ECC coated with silane-based protecting materials were evaluated. The evaluation was carried out according to NT BUILD 492. The test results show that when the protective material is applied to ECC, the chloride diffusion coefficient is reduced by 40-50%.

In the work, HPC (High Performance Concrete) samples are prepared with 3 levels of W/B (water to binder) ratios of 0.37, 0.42, and 0.27 and 3 levels of replacement ratios of 0%, 30% and 50%. Several tests containing chloride diffusion coefficient, passed charge, and compressive strength are performed considering age effect of 28 days and 180 days. Chloride diffusion is more reduced in OPC concrete with lower W/B ratio, and GGBFS concrete with 50% replacement ratio shows significant reduction of chloride diffusion in higher W/B ratio. At the age of 28 days, GGBFS concrete with 50% replacement ratio shows more rapid reduction of chloride diffusion than strength development, which reveals that abundant GGBFS replacement has effective resistance to chloride penetration even in the early-aged condition.

In the work, HPC (High Performance Concrete) samples are prepared with 3 levels of W/B (water to binder) ratios of 0.37, 0.42, and 0.27 and 3 levels of replacement ratios of 0%, 30% and 50%. Several tests containing chloride diffusion coefficient, passed charge, and compressive strength are performed considering age effect of 28 days and 180 days. Chloride diffusion is more reduced in OPC concrete with lower W/B ratio, and GGBFS concrete with 50% replacement ratio shows significant reduction of chloride diffusion in higher W/B ratio. At the age of 28 days, GGBFS concrete with 50% replacement ratio shows more rapid reduction of chloride diffusion than strength development, which reveals that abundant GGBFS replacement has effective resistance to chloride penetration even in the early-aged condition.

This paper presents an quantitative evaluation of loading conditions and its interaction of cold joint on accelerated diffusion coefficient. For the work, various loading conditions are prepared for concrete with cold joint. The mineral admixture of GGBFS (Ground Granulated Blast Furnace Slag) is replaced with 40% of weight ratio. The effect of GGBFS is evaluated to be effective to hinderance of chloride penetration. The compressive loading effect shows rapid enlargement of chloride diffusion after 60% of loading ratio while the tensile loading effect shows initially increased diffusion.

This paper presents the quantitative evaluation of migration diffusion coefficient considering an effect of cold joint. This also contains an effect of mineral admixture on chloride diffusion coefficient and the interaction of cold joint for chloride diffusion is experimentally investigated. The effect of mineral admixture is very effective to resistance to chloride penetration even if concrete has cold joint section.

To predict the characteristics of chloride ion penetration in the concrete and rebar corrosion prediction for chloride ion permeation, it is important to understand the chloride ion diffusion coefficient. It is possible that the reinforced concrete structures can be predicted accurately by the profile of the position of the rebar chloride ions using a chloride ion diffusion coefficient. On this study, analysis of chloride ion diffusion coefficient experimented in Korea and the effect of changes in the surface chloride ions concentration on chloride attacked durability design was analyzed