• Title/Summary/Keyword: corrosion prediction system

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Corrosion Prediction of a Cement Mortar-Grouted Rockbolt by Measuring Its Chloride Diffusion Coefficient (시멘트 모르타르계 록볼트 충전재의 염화물 확산계수 측정을 통한 록볼트 부식 예측)

  • Bae, Gyu-Jin;Chang, Soo-Ho;Kim, Dong-Gyou;Park, Hae-Geun
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.8 no.3
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    • pp.259-271
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    • 2006
  • This paper aims to predict the corrosion of a fully cement-grouted rockbolt induced by chloride diffusion in a cement mortar grout. From the viewpoint of the long-term durability, a rockbolt may be deteriorated by chemical components, such as sulphate and chloride, in groundwater. Especially, the steel rod of a rockbolt is corroded mainly by chloride. The rockbolt corrosion results in the volume expansion of a rod and then the cracking of a cement grout. In this study, the chloride diffusion coefficient of a cement mortar grout was used to evaluate the possibility of rockbolt corrosion by chloride, and to predict the long-term durability of a rockbolt. The electric acceleration test method was adopted to measure the chloride diffusion coefficient. In addition, a simple pullout testing system was newly proposed to measure the pullout capacity of a rockbolt more easily in a laboratory condition. From the experiments, it was showed that the chloride could diffuse in the cement grout more easily than in ordinary concrete materials. As a result, it was considered that a rockbolt might be easily corroded in a short term by the diffusion of chemical components with high concentration, although it was fully grouted.

Demonstration of EPRI CHECWORKS Code to Predict FAC Wear of Secondary System Pipings of a Nuclear Power Plant

  • Lee, Sung-Ho;Seong Jegarl;Chung, Han-Sub
    • Nuclear Engineering and Technology
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    • v.31 no.4
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    • pp.375-384
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    • 1999
  • The credibility of CHECWORKS FAC model analysis was evaluated for plant application in a model plant chosen for demonstration. The operation condition at each pipe component was defined before the wear rate analysis by plant data base, water chemistry analysis, and network flow analysis. The predicted wear was compared with the measured wear for 57 sample components selected from 43 susceptible line groups analysed. The inspected 57 locations represent components of highest predicted wear in each line group. Both absolute value and relative ranking comparisons indicated reasonable correlations between the predicted and the measured values. Four components showed much higher measured wear rates than the predicted ones in the feed water train from main feed water pump discharge to steam generator, probably due to high hydrazine concentration operation the effect of which had not been incorporated into the CHECWORKS model. The measured wear was higher than the predicted one consistently for components with least susceptibility to FAC. It is believed that the conservatism maintained during UT data analysis dominated the measurement accuracy. A great deal of enhancement is anticipated over the current plant pipe management program when a comprehensive plant pipe management program is implemented based on the model analysis.

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A Study for the Effect of Liquid Droplet Impingement Erosion on the Loss of Pipe Flow Materials (배관 재질 손상에 미치는 액적충돌침식의 영향에 대한 연구)

  • Kim, Kyung Hoon;Cho, Yun Su;Kim, Hyung Joon
    • Journal of ILASS-Korea
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    • v.18 no.1
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    • pp.9-15
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    • 2013
  • Wall thinning of pipeline in power plants occurs mainly by flow acceleration corrosion (FAC), cavitation erosion (C/E), liquid droplet impingement erosion (LDIE). Wall thinning by FAC and C/E has been well investigated; however, LDIE in plant industries has rarely been studied due to the experimental difficulty of setting up a long injection of highly-pressurized air. In this study, we designed a long-term experimental system for LDIE and investigate the behavior of LDIE for three kinds of materials (A106B, SS400, A6061). The main control parameter was the air-water ratio (${\alpha}$), which was defined as the volumetric ratio of water to air (0.79, 1.00, 1.72). In order to clearly understand LDIE, the spraying velocity (${\nu}$) of liquid droplets was controled larger then 160 m/s and the experiments were performed for 15 days. Therefore, this research focuses relation between erosion rate and air-water ratio on the various pipe-flow materials. NPP(nuclear power plant)'s LDIE prediction theory and management technique were drawn from the obtained data.

A Study on Antenna VSWR Measurement Method of Mobile Communication System (이동통신시스템의 안테나 정재파비 측정방법에 관한 연구)

  • Jeong, Ki-Hyeok;Ra, Keuk-Hwan
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.42 no.9 s.339
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    • pp.65-70
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    • 2005
  • For the base station or repeater which is in operation as part of a mobile communication system, any kind of degradation in antenna performance such as lowered gam or increased VSWR which maybe due to aging of antenna, connector corrosion or other environmental factors, is difficult to detect and react to immediately. In this paper, a VSWR measurement device which is capable of detecting the VSWR of a PCS forward path ($1,840\~1,870$MHz) antenna in operation in real time without any interruption in service is developed. Such regular measurement will allow the prediction of any serious failures and insure reliable operation of the antenna. All components of the antenna VSWR measurement device was researched so that the whole system could be produced and shown to be accurate in measuring the YSWR of an actual RF repeater in operation, proving it's effectiveness.

Prediction of the Flow Coefficient of a PFA Lined Ball Valve Using the CFD Simulation Method (CFD 해석방법을 이용한 PFA 라이닝 볼밸브의 유량계수 예측)

  • Jeon, Hong-Pil;Lee, Won-Seob;Kim, Chul-Soo;Lee, Jong-Chul
    • The KSFM Journal of Fluid Machinery
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    • v.19 no.4
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    • pp.35-38
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    • 2016
  • A PFA lined ball valve, which is machined with fluorinated resin PFA to its inner part for improving corrosion resistance, non-stickness, heat-resistance, has been widely used in semiconductor/LCD manufacturing processes with the high purity chemicals as working fluid. Due to the safety concerns, the experiments for measuring the flow coefficient of a PFA lined ball valve should be conducted with water at room temperature according to IEC standards. However, it is required to know the real flow coefficient with the real working fluid, because the flow coefficient is critical to correctly design valves in piping system. In this study, we calculated the flow coefficient of a PFA lined ball valve 40A with hydrochloric acid ($40^{\circ}C$ 36% HCl) as the working fluid using a commercial CFD package, ANSYS CFX v15. The computational results had a good agreement with the measured data and showed a little difference between water and hydrochloric acid as the working fluid of a PFA lined ball valve.

Dual-mode diagnosis system for water quality and corrosion in pipe using convolutional neural networks (CNN) and ultrasound (합성곱 신경망과 초음파 기반 상수도관 수질 및 부식 분석용 이중모드 진단 시스템)

  • So Yeon Moon;Hyeon-Ju Jeon;Yeongho Sung;Min-Seo Kim;Daehun Kim;Jaeyeop Choi;Junghwan Oh;O-Joun Lee;Hae Gyun Lim
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.685-686
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    • 2023
  • 상수도관의 수질 및 부식도 검사에는 파이프에 손상을 입히지 않고 지속적인 방법이 필요하다. 초음파는 이를 만족하면서 상태를 확인할 수 있고 주파수가 높을수록 해상도가 좋아져 정밀한 측정이 가능하다는 장점이 있다. 이러한 특성을 이용해 상수도관 모니터링 시스템으로 초음파 기반의 Scanning Acoustic Microscopy(SAM)과 Convolutional Neural Network(CNN)을 사용하는 새로운 방법을 제안한다. 기존의 Non-Destructive Testing(NDT)방식의 단점을 보완하면서 더 높은 해상도로 상수도관을 점검하는 방식으로, SAM 을 이용하여 부식으로 인한 파이프 두께 변화와 부유물의 여부 및 수질을 동시에 감지하고 얻은 데이터를 CNN 으로 분석했다. CNN 의 높은 정확도 결과로 이 시스템의 파이프 부식도 및 수질 모니터링에 대한 적합성을 보여주었다.

A Study on the Turbidity Estimation Model Using Data Mining Techniques in the Water Supply System (데이터마이닝 기법을 이용한 상수도 시스템 내의 탁도 예측모형 개발에 관한 연구)

  • Park, No-Suk;Kim, Soonho;Lee, Young Joo;Yoon, Sukmin
    • Journal of Korean Society of Environmental Engineers
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    • v.38 no.2
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    • pp.87-95
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    • 2016
  • Turbidity is a key indicator to the user that the 'Discolored Water' phenomenon known to be caused by corrosion of the pipeline in the water supply system. 'Discolored Water' is defined as a state with a turbidity of the degree to which the user visually be able to recognize water. Therefore, this study used data mining techniques in order to estimate turbidity changes in water supply system. Decision tree analysis was applied in data mining techniques to develop estimation models for turbidity changes in the water supply system. The pH and residual chlorine dataset was used as variables of the turbidity estimation model. As a result, the case of applying both variables(pH and residual chlorine) were shown more reasonable estimation results than models only using each variable. However, the estimation model developed in this study were shown to have underestimated predictions for the peak observed values. To overcome this disadvantage, a high-pass filter method was introduced as a pretreatment of estimation model. Modified model using high-pass filter method showed more exactly predictions for the peak observed values as well as improved prediction performance than the conventional model.

Prediction of Ultimate Strength and Strain of Concrete Columns Retrofitted by FRP Using Adaptive Neuro-Fuzzy Inference System (FRP로 보강된 콘크리트 부재의 압축응력-변형률 예측을 위한 뉴로퍼지모델의 적용)

  • Park, Tae-Won;Na, Ung-Jin;Kwon, Sung-Jun
    • Journal of the Korea Concrete Institute
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    • v.22 no.1
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    • pp.19-27
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    • 2010
  • Aging and severe environments are major causes of damage in reinforced concrete (RC) structures such as buildings and bridges. Deterioration such as concrete cracks, corrosion of steel, and deformation of structural members can significantly degrade the structural performance and safety. Therefore, effective and easy-to-use methods are desired for repairing and strengthening such concrete structures. Various methods for strengthening and rehabilitation of RC structures have been developed in the past several decades. Recently, FRP composite materials have emerged as a cost-effective alternative to the conventional materials for repairing, strengthening, and retrofitting deteriorating/deficient concrete structures, by externally bonding FRP laminates to concrete structural members. The main purpose of this study is to investigate the effectiveness of adaptive neuro-fuzzy inference system (ANFIS) in predicting behavior of circular type concrete column retrofitted with FRP. To construct training and testing dataset, experiment results for the specimens which have different retrofit profile are used. Retrofit ratio, strength of existing concrete, thickness, number of layer, stiffness, ultimate strength of fiber and size of specimens are selected as input parameters to predict strength, strain, and stiffness of post-yielding modulus. These proposed ANFIS models show reliable increased accuracy in predicting constitutive properties of concrete retrofitted by FRP, compared to the constitutive models suggested by other researchers.

Temperature Prediction of Cylinder Components in Medium-Speed Diesel Engine Using Conjugate Heat Transfer Analysis (복합 열전달 해석을 이용한 중속 디젤엔진 실린더 부품 온도 분포 예측)

  • Choi, Seong Wook;Yoon, Wook Hyoen;Park, Jong Il;Kang, Jeong Min;Park, Hyun Joong
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.37 no.8
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    • pp.781-788
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    • 2013
  • Predicting the engine component temperature is a basic step to conduct structural safety evaluation in medium-speed diesel engine design. Recent trends such as increasing power density and performance necessitate more effective thermal management of the engine for achieving the desired durability and reliability. In addition, the local temperatures of several engine components must be maintained in the proper range to avoid problems such as low- or high-temperature corrosion. Therefore, it is very important to predict the temperature distribution of each engine part accurately in the design stage. In this study, the temperature of an engine component is calculated by using steady-state conjugate heat transfer analysis. A proper approach to determine the thermal load distribution on the thermal boundary area is suggested by using 1D engine system analysis, 3D transient CFD results, and previous experimental data from another developed engine model. A Hyundai HiMSEN engine having 250-mm bore size was chosen to validate the analysis procedure. The predicted results showed a reasonable agreement with experimental results.