• Title/Summary/Keyword: 감육 곡관부

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Deformation Measurement of Well Thinning Elbow by Using Shearography (전단간섭법을 이용한 감육 곡관부의 변형 계측)

  • Jung, Hyun-Chul;Kim, Koung-Suk;Chang, Ho-Sub;Jung, Sung-Wook;Kang, Ki-Soo
    • Journal of the Korean Society for Nondestructive Testing
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    • v.26 no.5
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    • pp.321-328
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    • 2006
  • In this study, the deformation oi wall thinning elbow is measured and the position of the internal thinning defect is found out by shearography. Shearography is an optical method which has applied to nondestructive testing (NDT) and the strain/stress and deformation analysis. This technique has the merit of the directly measuring the first derivative of displacement with sensitivity which can be adjusted by handling the tilt mirror in the interferometer. In this paper, we tested carbon steel pipe locally wall thinned and loaded internal pressure and the shearography was applied to measure the out-of-plane deformation of wall thinning elbow and to investigate the internal thinning defect of it. From the results, it was confirmed that this technique is proper to the practical application on the pipe line system with internal defect.

Fatigue Failure Behavior of Pipe Bends with Local Wall-Thinning Under Cyclic Bending Condition (반복굽힘 조건에서 감육 곡관의 피로손상 거동)

  • Yoon, Min-Soo;Kim, Jin-Weon;Kim, Jong-Sung
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.36 no.10
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    • pp.1227-1234
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    • 2012
  • In this study, fatigue tests were carried out using real-scale pipe bend specimens with wall-thinning defects under a cyclic bending load together with a constant internal pressure of 10 MPa. The wall-thinning defect was located at the extrados and the intrados of the pipe bend specimens. A fully reversed cyclic in-plane bending displacement was applied to the specimens. For the pipe bends with wall thinning at the extrados, an axial crack occurred at the crown of the pipe bend rather than at the extrados where the defect was located. In addition, the fatigue life was longer than that of a sound pipe bend predicted from the design fatigue curve in ASME Sec.III, and it was less dependent on the axial length of the wall-thinning defect. For the pipe bends with wall thinning at the intrados, a circumferential crack occurred at the intrados. In this case, the fatigue life was much shorter than that of a sound pipe bend predicted from the design fatigue curve, and it clearly decreased with decreasing axial length of the wall-thinning defect.

Development of a Sensornetwork based Wireless NDT Service Model for High-pressurized Piping Wall Thinning Defect Inspections in a NPP (원전 고압배관 감육검사를 위한 센서네트워크 기반 무선 NDT 서비스 모델 개발)

  • Choi, Yoo-Rark;Lee, Jae-Cheol
    • 한국IT서비스학회:학술대회논문집
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    • 2008.11a
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    • pp.469-471
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    • 2008
  • 원자력발전소에는 매우 복잡하고 긴 배관 시스템이 작동되고 있다. 이 배관은 매우 높은 온도와 압력에 견디게 설계 및 제작 되었으나, 사용연수의 증가에 따라 배관이 깎이는 감육현상이 발생하며, 이로 인한 배관 파단 사고가 발생하고 있다. 이러한 감육현상은 배관의 곡관부에서 자주 발생하는데, 이를 감시하기 위하여 지금까지는 초음파를 이용한 배관 두께 측정을 해오고 있다. 그러나 이 검사 결과의 신뢰성이 없고, 유선 검사 방식을 채택함으로 인한 장비 설치 문제로 극히 일부 배관의 곡관부에 대한 감시만 수행되고 있는 문제가 있다. 본 논문에서는 펄스 와전류 기법과 일체형 소형 무선 센서를 이용하여 이러한 문제를 해결할 수 있는 방안을 제안한다.

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Effects of the Changes in Flow Pattern on Convective Heat Transfer in the Vicinity of Pipe Elbow (유동형태 변화가 배관 곡관부 대류열전달에 미치는 영향)

  • Song, Seung-Hyun;Yoo, Hoseon
    • Plant Journal
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    • v.15 no.1
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    • pp.25-30
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    • 2019
  • In this study, by varying flow patterns, which is one of the hydraulic factors of FAC, a strategy to reduce pipe wall thinning by mass transfer has been investigated. A similarity between heat transfer and mass transfer was verified via theoretical analysis, and local convective heat transfer coefficients were analyzed using a commercial numerical analysis program. When ribs were installed inside and outside of the internal surface in the straight section of the pipe, the maximum local heat transfer coefficient was shown to decrease substantially by up to 24.9% compared to the basic flow depending on the position and shape of ribs. If a guide vein was inserted in the pipe elbow, the maximum local heat transfer coefficient decreased by up to 26.7% compared to the basic flow depending on the internal surface area of the pipe by the guide vein.

An Experimental Study on Failure Behavior of TP316 Stainless Steel Pipe with Local Wall Thinning and Cracking (국부 감육과 균열이 발생한 TP316 스테인리스강 배관의 파괴거동에 관한 실험적 연구)

  • Cheung, Jin Hwan;Kim, In Tae;Choi, Seock Jin;Choi, Hyung Suk;Kim, Hee Sung
    • Journal of Korean Society of Steel Construction
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    • v.24 no.6
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    • pp.647-657
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    • 2012
  • Although nuclear power plant piping system is designed conforming to design specifications, the piping systems are deteriorated with increase in service life. In this study, monotonic and cyclic loading tests were carried out on TP316 stainless steel pipe specimens, and the effect of local wall thinning and cracking on failure behavior was investigated. In the tests, 0%, 35% and 75% wall thinning and cracking of initial thickness were artificially introduced to inside elbow and straight pipe specimens, and internal pressures of 20MPa were applied to simulate real operation condition. From the test results, the effect of local wall thinning and cracking on failure mode, ultimate load, number of cycle and strain energy was presented, and maximum bending moment was compared with allowable bending moment calculated by ASME code.

Verification of the Viability of Equipotential Switching Direct Current Potential Drop Method for Piping Wall Loss Monitoring with Signal Sensitivity Analysis (등전위 교번식 직류전위차법의 신호 정밀도 검증을 통한 배관 감육 진단 기술에의 적용성 검증)

  • Ryu, Kyung-Ha;Hwang, Il-Soon;Kim, Ji-Hyun
    • Journal of the Korean Society for Nondestructive Testing
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    • v.28 no.2
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    • pp.191-198
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    • 2008
  • Flow accelerated corrosion (FAC) phenomenon of low alloy carbon steels in nuclear power plant has been known as one of major degradation mechanisms. It has a potential to cause nuclear pipe rupture accident which may directly impact on the plant reliability and safety. Recently, the equipotential switching direct current potential drop (ES-DCPD) method has been developed, by the present authors, as a method to monitor wall loss in a piping. This method can rapidly monitor the thinning of piping, utilizing either the wide range monitoring (WiRM) or the narrow range monitoring (NaRM) technique. WiRM is a method to monitor wide range of straight piping, whereas NaRM focuses significantly on a narrow range such as an elbow. WiRM and NaRM can improve the reliability of the current FAC screening method that is based on computer modeling on fluid flow conditions. In this paper, the measurements by ES-DCPD are performed with signal sensitivity analyses in the laboratory environment for extended period and showed the viability of ES-DCPD for real plant applications.

Strain Distribution Measurement for Wall Thinning Defect in Pipe Bends by ESPI (ESPI 를 이용한 곡관 감육 결함부의 변형률 분포 측정)

  • Naseem, Akhter;Kim, Koung-Suk;Jung, Sung-Wook;Park, Jong-Hyun;Choi, Jung-Suk;Jung, Hyun-Chul
    • Proceedings of the KSME Conference
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    • 2007.05a
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    • pp.120-125
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    • 2007
  • Put Abstract text here The strain distribution measurement for wall thinned pipe bends by ESPI is presented. Defect types observed in the steel piping in the nuclear power plants (NPP) are the crack at the weld part and the wall thinning defect in the pipe bends. Especially, the wall thinning defects in the pipe bends due to the flow-accelerated corrosion (FAC) is a main type of defects observed in the carbon steel piping system. ESPI is one of the optical non-destructive testing methods and can measure the stress and the strain distribution of the object subjected by the tensile loading or the internal pressure. In this paper, the strain distribution of the wall thinned pipe bends due to the internal pressure will be measured by ESPI technique and the results are discussed. From the results, the size of the wall thinning defect can also be measured approximately.

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A study on the architecture of a deep neural network to reduce the variance of predicted values in a regression problem (회귀 문제에서 예측값들의 분산을 줄이기 위한 딥뉴럴 네트워크 구조 연구)

  • Kim, Jonghwan;Yeo, Doyeob
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.07a
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    • pp.11-14
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    • 2022
  • 본 논문에서는 회귀 문제에서 예측값들의 분산을 줄이기 위한 딥뉴럴 네트워크 구조를 제안한다. 일반적인 회귀 문제에서 딥뉴럴 네트워크 학습 시, 하나의 입력에 대한 레이블 값을 이용하여 학습한다. 본 눈문에서는 하나의 입력에 대한 레이블 값뿐만 아니라 두 입력에 대한 레이블 값들의 차이를 학습시키는 딥뉴럴 네트워크 구조를 제안한다. 통계학 이론을 통하여 예측값들의 분산이 줄어든다는 것을 증명한다. 또한, 배관 곡관의 감육두께를 예측하는 문제를 통해 제안된 네트워크의 성능을 검증한다. 일반적인 딥뉴럴 네트워크 구조를 이용하였을 때에 비하여 제안한 네트워크 구조를 이용하였을 때, 회귀 문제의 예측값들의 분산이 감소함을 확인한다.

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