• 한국구조물진단유지관리공학회 논문집
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• 제5권1호
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• pp.131-140
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• 2001

In general, the deterioration induced by the freezing and thawing cyclic in concrete structures often leads to the reduction in concrete durability by the cracking or surface spalling. If it can prediction of concrete deterioration subjected to cyclic freezing and thawing, we can rationally do the design of mix proportion in view of concrete durability and the maintenance management of concrete structures. Therefore in this study a prediction method of deterioration for concrete structures subjected to the irregular freezing and thawing is proposed from the results of accelerated laboratory freezing and thawing test using the constant temperature condition and the in-situ weathering data. Furthermore, to accurately predict the concrete deterioration, a method of modification for the effect of hydration increasing during rapid freezing and thawing test is investigated.

• 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.

• 상하수도학회지
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• 제30권2호
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• pp.155-165
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• 2016

Pipe Deterioration Prediction (PDP) and Pipe Failure Risk Prediction (PFRP) models were developed in an attempt to predict the deterioration and failure risk in water mains using fuzzy technique and the markov process. These two models were used to determine the priority in repair and replacement, by predicting the deterioration degree, deterioration rate, failure possibility and remaining life in a study sample comprising 32 water mains. From an analysis approach based on conservative risk with a medium policy risk, the remaining life for 30 of the 32 water mains was less than 5 years for 2 mains (7%), 5-10 years for 8 (27%), 10-15 years for 7 (23%), 15-20 years for 5 (17%), 20-25 years for 5 (17%), and 25 years or more for 2 (7%).

• 한국철도학회:학술대회논문집
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• 한국철도학회 2010년도 춘계학술대회 논문집
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• pp.261-267
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• 2010

Present maintenance of a high speed railway is after the fack maintenance that executes a task when measured value goes over threshold value except some planned maintenance. It is difficult from efficient management of maintenance human resource and equipment commitment because it is difficult to predict quantity of maintenance targets. Corrective maintenance is pushed back on the repair priority of other target to need repair and it is exceeded repair cost potentially. For safety and dependable track management because track deterioration prediction is linked directly with track's life and safety of train service, it is very important that track management be based on preventive maintenance. In this study, we propose statistics model of track quality to use track inspection data and forecast model for track deterioration prediction.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.700-706
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• 2009

Bridges are vital components of any road network which demand crucial and timely decision-making for Maintenance, Repair and Rehabilitation (MR&R) activities. Bridge Management Systems (BMSs) as a decision support system (DSS), have been developed since the early 1990's to assist in the management of a large bridge network. Historical condition ratings obtained from biennial bridge inspections are major resources for predicting future bridge deteriorations via BMSs. Available historical condition ratings in most bridge agencies, however, are very limited, and thus posing a major barrier for obtaining reliable future structural performances. To alleviate this problem, the verified Backward Prediction Model (BPM) technique has been developed to help generate missing historical condition ratings. This is achieved through establishing the correlation between known condition ratings and such non-bridge factors as climate and environmental conditions, traffic volumes and population growth. Such correlations can then be used to obtain the bridge condition ratings of the missing years. With the help of these generated datasets, the currently available bridge deterioration model can be utilized to more reliably forecast future bridge conditions. In this paper, the prediction accuracy based on 4 and 9 BPM-generated historical condition ratings as input data are compared, using deterministic and stochastic bridge deterioration models. The comparison outcomes indicate that the prediction error decreases as more historical condition ratings obtained. This implies that the BPM can be utilised to generate unavailable historical data, which is crucial for bridge deterioration models to achieve more accurate prediction results. Nevertheless, there are considerable limitations in the existing bridge deterioration models. Thus, further research is essential to improve the prediction accuracy of bridge deterioration models.

• Structural Engineering and Mechanics
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• 제37권6호
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• pp.685-691
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• 2011

Developing accurate prediction models for deterioration behavior represents a challenging but essential task in comprehensive Infrastructure Management Systems. The challenge may be a result of the lack of historical data, impact of unforeseen parameters, and/or the past repair/maintenance practices. These realities contribute heavily to the noticeable variability in deterioration behavior even among similar components. This paper introduces a novel approach to predict the deterioration of any infrastructure component. The approach is general as it fits any component, however the prediction is custom for a specific item to consider the inherent impacts of expected and unexpected parameters that affect its unique deterioration behavior.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 1999년도 학회창립 10주년 기념 1999년도 가을 학술발표회 논문집
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• pp.795-798
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• 1999

Deterioration induced by the freezing and thawing in concrete often leads to the reduction in concrete durability by the cracking or surface spalling. In this paper, the deterioration prediction model for concrete structures subjected to the irregular freeze-thaw was proposed from the results of accelerated laboratory test using the constant temperature condition and acceleration factor from the in-situ weather data.

• Structural Engineering and Mechanics
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• 제91권1호
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• pp.39-47
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• 2024

Bridge deterioration shows the change of bridge condition during its operation, and predicting bridge deterioration is important for implementing predictive protection and planning future maintenance. However, in practical application, the raw inspection data of bridges are not continuous, which has a greater impact on the accuracy of the prediction results. Therefore, two kinds of bridge deterioration models are established in this paper: one is based on the traditional regression theory, combined with the distribution fitting theory to preprocess the data, which solves the problem of irregular distribution and incomplete quantity of raw data. Secondly, based on the theory of Long Short-Term Memory (LSTM) Recurrent Neural Network (RNN), the network is trained using the raw inspection data, which can realize the prediction of the future deterioration of bridges through the historical data. And the inspection data of 60 prestressed concrete box girder bridges in Xiamen, China are used as an example for validation and comparative analysis, and the results show that both deterioration models can predict the deterioration of prestressed concrete box girder bridges. The regression model shows that the bridge deteriorates gradually, while the LSTM-RNN model shows that the bridge keeps great condition during the first 5 years and degrades rapidly from 5 years to 15 years. Based on the current inspection database, the LSTM-RNN model performs better than the regression model because it has smaller prediction error. With the continuous improvement of the database, the results of this study can be extended to other bridge types or other degradation factors can be introduced to improve the accuracy and usefulness of the deterioration model.

• 한국안전학회지
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• 제23권4호
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• pp.59-66
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• 2008

Recently, the deterioration of reinforced concrete structures, primarily due to corrosion of steel reinforcement, has become a major concern. Chloride-induced deterioration is the most important deterioration phenomenon in reinforced concrete structures in harsh environments. For the realistic prediction of chloride penetration into concrete, a mathematical model was developed in which the effects of diffusion, chloride binding and convection due to water movement can be taken into account. The aim of this research was to reach a better understanding on the physical mechanisms underlying the deterioration process of reinforced concrete associated with chloride-induced corrosion and to propose a reliable method for estimating these effects. Chloride concentrations coming from de-icing salts are significantly influenced by the exposure conditions such as salt usage, ambient temperature and repeated wet-dry cycles.

• 대한토목학회논문집
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• 제28권3A호
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• pp.341-347
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• 2008

고속도로상의 강교 도장에 사용되어온 도장계는 광명단 조합페인트, 염화고무계, 수용성 무기징크, 내후성 중방식, 초내후성 중방식 등이 있으며, 이들 도장계 중 가장 널리 사용되어온 도장계와 열화가 많이 진행된 도장계를 중심으로 도막열화도 평가를 실시하고 통계적 회귀분석을 통해 도막의 수명을 예측해 보았다. 평가 대상 교량은 고속도로상의 교량 중 75개 교량을 선정하였으며, 한국도로공사에서 사용하고 있는 "강교의 보수도장 지침"에서 규정하는 평가점 부여 방법에 따라 도막열화도 평가를 실시하였다. 도막수명예측 결과는 전국 평균이 13.0~13.3년, 수도권의 도시 및 공장지역 11.8년, 수도권 이외의 전원지역 13.2년, 염화고무계 13.5~13.7년, 조합페인트 12.86년으로 나타났다. 도막의 잔여수명 예측을 위해 기준열화곡선을 현재 시점의 열화도 위치로 x축 및 y축에 대하여 각각 평행이동시켜 본 결과 x축에 대해 평행이동하는 것이 실제 열화 양상과 잘 부합된다고 판단되었다. 고속도로상의 강교 전반에 걸쳐 보수도장 판정기준을 수립하기 위하여 기준열화곡선 회귀분석시 도출된 각 계수의 오차값을 가감하여 상한식과 하한식을 구하였다. 도막수명예측 상 하한곡선을 바탕으로 강교 도장의 잔여 수명과 적정 보수도장 시기를 예측하기 위하여 도막의 상태에 따라 8개 부분으로 영역을 구분하고, 각각의 영역에 대한 보수도장 판정 기준을 제시하였다.