• Title/Summary/Keyword: deterioration prediction

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Development of the Decision-Making System for National Highway Pavement Management (국도 포장관리를 위한 의사결정시스템 개발)

  • Do, Myungsik;Kwon, Sooahn;Lee, Sang Hyuk;Kim, Yongjoo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.34 no.2
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    • pp.645-654
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    • 2014
  • PMS (Pavement Management System) of National highways in Korea has used HDM (Highway Development and Management)-4 developed by World Bank for decision-making for maintenance and rehabilitation of pavements. However using HDM-4 is not appropriate in Korea because HDM-4 requires excessive input factors for analysis and economic analysis models loaded in HDM-4 are not suitable for Korean circumstances. Thus this study aims development of decision-making system for effective pavement management with reflecting Korean circumstances. Moreover this study proposed to define component of system, deterioration models, and basic units for component, and to analyze characteristics of component of system, and also to develop optimal decision-making system. The decision-making system for PMS mainly consists of 1) DB of highways, traffics, and socio-economic index, 2) pavement deterioration model, 3) speed prediction models by pavement conditions, 4) economic evaluation models, and 5) decision-making supporting system. Also this study provided analysis results in case studies for system verifications. However pavement deterioration models considering future probabilistic characteristic and index of decision-making are needed to develop for a further study.

The Evaluation of Durability by NDT test of Marine-Concrete Structures (항만구조물의 비파괴시험에 의한 안정성 검토)

  • 조병완;이일근;강희풍
    • Proceedings of the Korea Concrete Institute Conference
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    • 1995.10a
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    • pp.169-172
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    • 1995
  • Establishment of a diagnosing technology for the deterioration of reinforced concrete structures due to salt contamination is urgent, but few analytical methods based on measured data obtained from concrete structures have been presented so far. Chloride penetration into concrete from sea water is generally understood and analysed as diffusion of chloride ion. This paper presents a new method of predicting chloride penetration into concrete based on diffusion theory. Also, it determines the duralility of Marine structure in service with the prediction of remaiing lifetime by the carvonation test.

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Seismic performance assessment of steel reinforced concrete members accounting for double pivot stiffness degradation

  • Juang, Jia-Lin;Hsu, Hsieh-Lung
    • Steel and Composite Structures
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    • v.8 no.6
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    • pp.441-455
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    • 2008
  • This paper presents an effective hysteretic model for the prediction and evaluation of steel reinforced concrete member seismic performance. This model adopts the load-deformation relationship acquired from monotonic load tests and incorporates the double-pivot behavior of composite members subjected to cyclic loads. Deterioration in member stiffness was accounted in the analytical model. The composite member performance assessment control parameters were calibrated from the test results. Comparisons between the cyclic load test results and analytical model validated the proposed method's effectiveness.

Management System for Saemangeum Gate Bridge (배수갑문 교량의 노후도 감시시스템)

  • Lee, Joon-Gu;Cho, Young-Kwon;Kim, Han-Joung;Kim, Kwan-Ho;Kim, Myung-Won
    • Proceedings of the Korea Concrete Institute Conference
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    • 2006.05b
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    • pp.241-244
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    • 2006
  • The basic prediction model was constructed to obtain optimal maintenance method for concrete structure under marine environment by exploring the mechanism of mono and combined deterioration in lab. This model was planned to be upgraded with data acquired from several exposure specimens under same environment as structures. The computer program developed to give useful guidance observer would be improved. Several repair materials and repair construction methods applied to exposure specimens will be tested for its performance of prohibit salt attack and freezing & thawing action during experimental period about ten years. All of these data could be available to complete the prediction system. The manager will be able to use the system for optimal maintenance of marine concrete structures.

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Prediction of Relative Density by Hardness in Compressed Sintered-Metal Powder (경도를 이용한 소결압축금속분말의 상대밀도 예측)

  • 김진영;박종진
    • Transactions of Materials Processing
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    • v.6 no.6
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    • pp.508-516
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    • 1997
  • Forging process on sintered powder metals has been applied to produce automotive parts which require a high level of strength. In those parts, the measurement of relative density is very important because a low relative density density causes deterioration of strength. In the present study, an indentation force equation was proposed by which the result obtained from the hardness measurement is used to evaluate the relative density. This equation was applied to the prediction of the relative density in cylindrical specimens which were first sintered and then forged at the room temperature and at an elevated temperature. The experimental results were compared with predictions with and without consideration of the workhardening effect on the powder.

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A Personaliz Customer Retention Procedure For Internet Game Site Based on the Self-Organizing Map and Association Rule Mining.

  • Song Hee Seok;Kim Jae Kyeong;Kim Soung Hie;Chae Kyung Hee
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2002.05a
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    • pp.306-311
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    • 2002
  • This paper propose a personalized defection detection and prevention procedure based on the observation that potential defectors have tendency to take a couple of months or weeks. For this purpose, possible states of customer behavior are determined from past behavior data using SOM (Self-Organizing Map). For the evaluation of the proposed procedure, a case study has been conducted for a Korean online game site. The result demonstestes that the proposed procedure can assist defection prevention effectively and detect potential defectors without deterioration of prediction accuracy comparison to prediction by MLP. Our procedure can be applied to various service industries that can capture fluent customer behavior data such as telecommunications, internet access services, and content services, too.

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A Study on the Prediction of Durability of Concrete Structures Subjected to Chloride Attack by Chloride Diffusion Model (염소이온의 확산모델에 의한 염해를 받는 콘크리트 구조물의 내구성 예측연구)

  • 오병환;장승엽;차수원;이명규
    • Proceedings of the Korea Concrete Institute Conference
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    • 1997.04a
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    • pp.254-260
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    • 1997
  • Chloride-induced corrosion of reinforcement is one of the main factors which cause the deterioration of concrete structures. Durability and service lives of the concrete sturctures should be predicted in order to minimize the risk of corrosion of reinforcement. The objective of this study is to suggest the basis of analytical methods of predicting the corrosion threhold time of concrete structures. Based on the chemistry and physics of chloride ion transport and corrosion process, chloride intrusion with various exposure conditions, variability of diffusivity and transport of pore water in concrete are taken into consideration in applying finite element formulation to the predicion of corrosion threhold time. The effects of main factors on the prediction of chloride intrusion and corrosion threhold time are examined. In addition, after chloride diffusivities of several mixture proportions with different parameters are measured by chloride diffusion test, the exemplary anayses of corrosion threhold time of those mixture proportions are carried out.

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Probabilistic Prediction Model for the Cyclic Freeze-Thaw Deteriorations in Concrete Structures (콘크리트 구조물의 반복적 동결융해에 의한 확률론적 열화예측모델)

  • Cho, Tae-Jun
    • Proceedings of the Korea Concrete Institute Conference
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    • 2006.11a
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    • pp.957-960
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    • 2006
  • In order to predict the accumulated damages by cyclic freeze-thaw, a regression analysis by the Response Surface Method (RSM) is used. RSM has merits when the other probabilistic simulation techniques can not guarantee the convergence of probability of occurrence or when the others can not differentiate the derivative terms of limit state functions, which are composed of random design variables in the model of complex system or the system having higher reliability. For composing limit state function, the important parameters for cyclic freeze-thaw-deterioration of concrete structures, such as water to cement ratio, entrained air pores, and the number of cycles of freezing and thawing, are used as input parameters of RSM. The predicted results of relative dynamic modulus and residual strains after 300 cycles of freeze-thaw for specimens show very good agreements with the experimental results. The RSM result can be used to predict the probability of occurrence for designer specified critical values. Therefore, it is possible to evaluate the life cycle management of concrete structures considering the accumulated damages by the cyclic freeze-thaw by the use of proposed prediction method.

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The best accelerated method and lifetime prediction of electrolytic capacitors (전해 캐패시터의 최적 가속시험방법과 수명예측)

  • Kim, Ha-Na;Sim, Chan-Ho;Kim, Sung-Jun;Yoon, Jung-Rag;Lee, Hun-Yong
    • Proceedings of the KIEE Conference
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    • 2005.07c
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    • pp.1945-1947
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    • 2005
  • This study considers find out best accelerated life testing and lifetime prediction of electrolytic capacitors. We proved about relation between failure and deterioration mechanism from last thesis. Beside we performed test that temperature and voltage press higher than allowance specification. Failure distribution acquired from those test. And wiebull function and Minitab program applied to accelerated constant and lifetime by means of calculation. At the result, goodness of fit affect to weibull function and acceleration factor therefore fitting is important factor in reliability testing.

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Prediction of calcium leaching resistance of fly ash blended cement composites using artificial neural network

  • Yujin Lee;Seunghoon Seo;Ilhwan You;Tae Sup Yun;Goangseup Zi
    • Computers and Concrete
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    • v.31 no.4
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    • pp.315-325
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    • 2023
  • Calcium leaching is one of the main deterioration factors in concrete structures contact with water, such as dams, water treatment structures, and radioactive waste structures. It causes a porous microstructure and may be coupled with various harmful factors resulting in mechanical degradation of concrete. Several numerical modeling studies focused on the calcium leaching depth prediction. However, these required a lot of cost and time for many experiments and analyses. This study presents an artificial neural network (ANN) approach to predict the leaching depth quickly and accurately. Totally 132 experimental data are collected for model training and validation. An optimal ANN model was proposed by ANN topology. Results indicate that the model can be applied to estimate the calcium leaching depth, showing the determination coefficient of 0.91. It might be used as a simulation tool for engineering problems focused on durability.