• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2020년도 봄 학술논문 발표대회
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• pp.33-34
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• 2020

Unit-water content is an element directly related to durability and unit-water content of concrete used at construction site has a great effect on the durability of construction structure. Many methods are being discussed for more convenient and accurate measurements of unit-water content. Therefore, an experimental study was conducted on the prediction of unit-water content using ultrasonic equipment. Depending on the amount of cement in cement paste, the speed of ultrasonic waves varies and the experiment will be carried out using the same reception sensitivity in the future.

• 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.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2005년도 봄학술 발표회 논문집(II)
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• pp.161-164
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• 2005

A probability-based durability design which minimizes the uncertainties on durability parameters of concrete is proposed for reinforced concrete structures subjected to chloride attack. The uncertainties of various factors such as water-cement ratio, curing temperature, age of concrete and the variation of these factors which affect chloride ion diffusion are considered. For the durability design, a probability-distribution function for each factor is obtained and a program which combines Fick's 2nd law and Monte Carlo simulation is developed. The durability design method proposed in this study considers probability of durability limit and probability of the concentration of chloride ion, so that the probability-based deterioration prediction is possible.

• 한국재난정보학회 논문집
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• 제13권3호
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• pp.332-339
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• 2017

노후화된 구조물의 경우 준공 후 시간이 지나 구조물의 정보가 유실되는 경우가 많으며, 시공관련 자료에 대한 정보 부족으로 인해 구조물의 잔존수명을 예측하는데 큰 어려움이 있다. 본 연구에서는 현장에서 채취한 코어 시험체를 기반으로 각종 현장 및 실내시험법을 통한 내구성을 평가하고 이를 토대로 FEM 해석기법을 활용하여 콘크리트 구조물의 내구수명을 예측하였다. 그 결과, 중성화 속도계수는 $5.38E-6(cm^2/day)$로 매우 진행 속도가 낮은 것으로 나타났으며, 탄산화 및 염해에 의한 복합열화의 발생 가능성은 매우 낮은 것으로 확인되었다

• 콘크리트학회논문집
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• 제12권1호
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• pp.33-44
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• 2000

Since the mechanism of chloride diffusion and its ratio in concrete depend on structural conditions and concrete as a micro-structure, if these are analyzed quantitatively, the long-term ageing of structures can be predicted. Although, a quantitative analysis of concrete micro-structure, in which the results are affected by various parameters, is very difficult, this can be done indirectly by the durability test of concrete. In this study, the compressive strength, void ratio and air permeability of concrete. In this study, the compressive strength, void ratio and air permeability of concrete are chosen as the parameters in concrete durability test, and these effects on test results are analysed according to changes of mixing properties. The relationships between parameters and chloride diffusion velocity is used for prediction models of chloride diffusion. The developed prediction models for the chloride diffusion according to mixing and physical properties, can be used to estimate the service life and corrosion initiation of reinforcing bars in marine structures.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2010년도 춘계 학술논문 발표대회 1부
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• pp.229-230
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• 2010

The Carbonation, one of the main deterioration factors of concrete, reduces capacity of members with providing rebar corrosion environment. Consequently it suggested standards of all countries of world, carbonation depth prediction equation of respective researchers and time to rebar corrosion initiation. As a result of carbonation depth prediction equation calculation, difference of time to rebar corrosion initiation is 149 years and difference of carbonation depth prediction equation is 162 years when water cement ratio is 50%. So a study on rebar corrosion with carbonation depth will need existing reliable data and verifications by experiment.

• 한국수자원학회논문집
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• 제36권1호
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• pp.61-74
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• 2003

본 연구(II)는 연구(I)에서 제안한 상수관로의 노후도 예측에 근거한 최적 개량 모형을 A시를 대상으로 이를 적용하였다. 노후도 예측 모형은 굴착 및 실험이 필요한 14개 항목과 굴착 및 실험이 필요하지 않은 9개 항목을 구분하여 각각 관의 노후도 등급을 산정하였다. 노후도 예측 모형 적용 결과 항목개수에 따른 등급의 차는 l~2% 이내로 굴착 및 실험을 하지 않고도 노후도 예측이 가능한 것으로 나타났다. 최적 개량 모형은 노후도 항목별 최대 잔존수명과 제약조건 유무로 구분하여 적용하였다. 적용결과 항목별 최대 잔존수명의 증가에 따라 개량 시기 및 비용이 증가하였다. 또한 예산제약을 제외한 모형과 비교해서 예산제약을 고려한 모형이 모든 항목에서 비용이 증가되었다. 이는 예산제약을 고려할 경우 실제 주어진 최대 잔존수명 기간이내 매년 발생하는 예산의 최대 금액을 넘지 않은 대신에 매년 비슷한 비용으로 개량을 실시하기 때문인 것으로 판단되었다.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2010년도 춘계 학술발표회
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• pp.553-561
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• 2010

Like the shotcrete can be deteriorated by chemical compounds as service years increase, the grout which is used to fasten the cablebolt(rockbolt) system in the underground structures also can be deteriorated by chemical compounds such as sulphate and/or chloride contained in groundwater during service years. This can induce issues on the long term durability of cablebolt(rockbolt) system and consequently on the stability of underground structures. In this study, the deteriorations of long term durability of cement mortar grout by each chemical compound of sulphate or chloride are studied experimentally and also complex deterioration by the mix of sulphate and chloride is investigated. Based on the results obtained in this study, the characteristics and prediction of deterioration of long term durability of cement mortar grout for cablebolt(rockbolt) system are suggested.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2007년도 정기 학술대회 논문집
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• pp.589-594
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• 2007

This paper is shown new method for durability assesment and design have been noticed to be very valuable has been successfully applied to predict concrete structures. This paper provides that a new approach for predicting the corrosion durability of reinforced concrete structures exposed to chloride attack. In this method, the prediction can be updated successive1y by the Bayesian theory when additional data are available. The stochastic properties of model parameters are explicitly taken into account into the model the probability of the durability limit is determined from the samples obtained from the Latin hypercube sampling technique. The new method may be very useful in designing important concrete structures and help to predict the remaining service life of existing concrete structures under chloride attack environments.

• 한국자동차공학회논문집
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• 제15권1호
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• pp.133-138
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• 2007

The balance shaft housing in the recent engines tends to have the high cycle fatigue crack caused by increased engine power. In this paper, a CAE procedure is introduced to predict the durability of the balance shaft housing. The procedure is performed through two analysis steps. In the first step, the multibody dynamic simulation is used to obtain more accurate loading boundary conditions applied to the finite element model for the following step. Next, the finite element analysis is performed to predict the durability of the balance shaft housing through the calculation of the safety factor. Through this CAE procedure, the revised balance shaft housing was developed to improve the durability. And the durability of the housing was confirmed experimentally.