• Title/Summary/Keyword: 파손상태

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증기발생기 전열관 슬리브 레이저 보수용접을 위한 레이저 전송 광섬유 감시장치

  • 백성훈;정진만;김민석;박승규;김철중
    • Proceedings of the Korean Nuclear Society Conference
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    • 1997.05b
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    • pp.549-554
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    • 1997
  • 원자력발전소 중기발생기 전열관 sleeve의 레이저 보수용접은 원자로 외부의 레이저 광원을 sleeve 내부의 용접 head까지 광섬유로 수백 미터를 전송하여 수행된다. 전열관 레이저용접은 용접 중의 레이저출력, 레이저 전송 광학계의 파손여부, 광학계의 정렬상태 등을 정확히 감시하여 수행하여야 하지만, 작업공간의 협소함과 방사능 구역이라는 어려움 때문에 실시간 감시가 쉽지 않다. 본 연구에서는 광섬유 전송 광학계와 지시용 레이저를 이용하여, 광섬유의 끝단에서 반사된 레이저 빔을 이용하여 광섬유 상태를 실시간 감시할 수 있음을 실험적으로 확인하였다. 실험은 core 직경 800um 의 step index 레이저 전송용 광섬유를 사용하였으며, 광섬유 끝단에 물등의 불순물이 있을 경우와 광섬유가 파손되었을 경우의 감시결과를 얻어, 광섬유 광학계의 실시간 감시가 가능함을 보였다.

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Reliability Analysis of Gas Turbine Engine Blades (가스터빈 블레이드의 신뢰성 해석)

  • Lee, Kwang-Ju;Rhim, Sung-Han;Hwang, Jong-Wook;Jung, Yong-Wun;Yang, Gyae-Byung
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.36 no.12
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    • pp.1186-1192
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    • 2008
  • The reliability of gas turbine engine blades was studied. Yield strength, Young’s modulus, engine speed and gas temperature were considered as statistically independent random variables. The failure probability was calculated using five different methods. Advanced Mean Value Method was the most efficient without significant loss in accuracy. When random variables were assumed to have normal, lognormal and Weibull distributions with the same means and standard deviations, the CDF of limit state equation did not change significantly with the distribution functions of random variables. The normalized sensitivity of failure probability with respect to standard deviations of random variables was the largest with gas temperature. The effect of means and standard deviations of random variables was studied. The increase in the mean of gas temperature and the standard deviation of engine speed increased the failure probability the most significantly.

A Study on Strength Prediction of Mechanical Joint of Composite under Bending Load (굽힘 하중을 받는 복합재 기계적 체결부의 강도예측에 관한 연구)

  • Baek, Seol;Kang, Kyung-Tak;Lee, Jina;Chun, Heoung-Jae
    • Composites Research
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    • v.27 no.6
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    • pp.213-218
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    • 2014
  • This paper predicted the strength of mechanical joint of composites under bending load by means of the characteristic curve method. The method has been employed only for tensile and compression load conditions, but in this study, this method was extended to the bending load condition. For the finite element analysis (FEA), the nonlinear analysis was conducted considering the contact and friction effects between composite material and pin. The failure strength and mode on characteristic curve were evaluate with Tsai-Wu failure theory. To validate the results of FEA, the experiments were conducted to find out the failure load by applying bending moment on the composite specimens. The results showed reasonable agreements with theoretical results. These results lead to a conclusion that the characteristic curve method can be applied to predict the bending strength of mechanical joint of composites.

웨이브렛 변환에 의한 밀링공구의 파손검출

  • 김선호;박화영
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1993.10a
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    • pp.76-78
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    • 1993
  • 간접적인 방법으로 가공중(In process)공구상태를 감시하기 위해, 센서신호를 분석하는 방법으로 시간영역 (Time Domain) 해석과 주파수 영역(Frequency Domain)해석이 주로 이용되어 왔다. 시간영역해석의 경우 RMS,PEak Value, 평균/분산을 이용한 정적분석과 AR 모델, ARMA 모델, Kalman Filter등 동적 시계열 모델이 연구되어 왔다. 주파수영역해석의 경우 푸리에 변환 (Fourier Transform)에 의한 신호해석 기술이 주로 이용되고 있다. 그러나 푸리에 변환된 결과에는 시간정보가 포함되어 있지 않고, 국부적인 변환결과가 전체를 대표하는 성질을 가지고 있다. 이에 비해 웨이브렛(Wavelet) 변환은 고주파성분에 대해서는 시간분해능이 높고, 저주파 성분에 대해서는 주파수분해능이 높은 다중해상도 해석기술로서 국소적인 변동점을 민검하게 검지하는 것이 가능하다. 본연구에서는 엔드밀 가공중 발생하는 공구의 파손을 검출하기 위해, 전류센서로 부터 얻은 이송축 부하 전류의 변화에 웨이브렛 변환을 통해 공구의 파손을 검출하는 방법에 대한 연구결과를 소개한다.

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Development of a Model for Pavement Rehabilitation Priority Using Genetic Algorithms (유전자 알고리즘을 이용한 도로보수우선순위 결정법의 개발)

  • 이용재
    • Proceedings of the KOR-KST Conference
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    • 1998.10a
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    • pp.126-135
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    • 1998
  • 도로보수는 매우 고가의 사업으로서 정확한 분석이 필수적이라 할 수 있다. 따라서 본 연구에서는 수많은 대상구간의 도로파손에 대한 보수방법 및 보수우선순위를 정확하고 신속하게 결정하기 위해서 유전자 알고리즘(Genetic Algorithms)을 이용한 도로보수방법론을 개발하였다. 본 연구에서는 유전자 알고리즘의 주 분석기법인 교배연산, 돌연변이연산, 복제연산, 룰렛휠기법, 적합도함수등을 이용하였으며, 균열, 바퀴자국, 부스러짐, 플러쉬등의 4개 파손상태와 실코트, 덧씌우기, 팻칭, 재포장등의 4개 보수방법만을 분석대상으로 하였다. 또한 적합도의 판정을 위해서 각 구간의 보수효과, 자원요구량, 자원제약량을 이용하였으며, 이를 통해서 적절한 보수방법 및 보수우선순위를 결정하였다.

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A Case Study for the Estimation of Remaining Lives of Asphalt Pavements (아스팔트포장 잔존수명 예측 사례 연구)

  • Lee, Jung-Hun;Lee, Hyun-Jong;Park, Hee-Mun;Kim, In-Tai
    • International Journal of Highway Engineering
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    • v.10 no.2
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    • pp.1-13
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    • 2008
  • This study presents a case study of condition evaluation of various asphalt pavement sections to estimate performance lives. The pavement surface conditions including cracking and rutting are first evaluated using a automatic pavement analyzer, ARAN. HPCI(Highway Pavement Condition Index) values are estimated using the pavement surface distress data. It is observed from the pavement distress survey that the major distress type of the sections is top-down cracking. The modulus value of each pavement layer is back-calculated from the defection data obtained from a FWD(Falling Weight Deflectometer) and compared with the laboratory measured dynamic modulus values. Remaining lives of the various pavement sections are estimated based on a mechanistic-empirical approach and AAHTO 1993 design guide. The structural capacities of the all pavement sections based on the two approaches are strong enough to maintain the pavement sections for the rest of design life. Since the major distress type is top-down cracking, the remaining lives of the pavement sections are estimated based on HPCI and existing performance database of highway pavements. To evaluate the causes of premature pavement distress, various material properties, such as air void, asphalt binder content, aggregate gradation, dynamic modulus and fatigue resistance, are measured from the field cores. It is impossible to accurately estimate the binder contents of field samples using the ignition method. It is concluded from the laboratory tests that the premature top down cracking is mainly due to insufficient compaction and inadequate aggregate gradation.

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On Diagnosis Measurement under Dynamic Loading of Ball Bearing using Numerical Thermal Analysis and Infrared Thermography (전산 열해석 및 적외선 열화상을 이용한 볼베어링의 동적 하중에 따른 진단 계측에 관한 연구)

  • Hong, Dong-Pyo;Kim, Ho-Jong;Kim, Won-Tae
    • Journal of the Korean Society for Nondestructive Testing
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    • v.33 no.4
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    • pp.355-360
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    • 2013
  • With the modern machinery towards the direction of high-speed development, the thermal issues of mechanical transmission system and its components is increasingly important. Ball bearing is one of the main parts in rotating machinery system, and is a more easily damaged part. In this paper, bearing thermal fault detection is investigated in details Using infrared thermal imaging technology to the operation state of the ball bearing, a preliminary thermal analysis, and the use of numerical simulation technology by finite element method(FEM) under thermal conditions of the bearing temperature field analysis, initially identified through these two technical analysis, bearing a temperature distribution in the normal state and failure state. It also shows the reliability of the infrared thermal imaging technology. with valuable suggestions for the future bearing fault detection.

A Simplified Method for Predicting Failure Probability of Pipelines with Corrosion Defects (부식결함을 가진 배관의 파손확률 예측을 위한 단순화된 방법)

  • Lee, Jin-Han;Kim, Young-Seob;Kim, Lae-Hyun
    • Journal of the Korean Institute of Gas
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    • v.14 no.4
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    • pp.31-36
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    • 2010
  • An alternative method is presented for predicting failure probability of pipelines with corrosion defects in this paper. The failure of corroded pipeline occurs when the operating pressure is grater than the remaining strength of the pipeline, and a limit state function can be defined as the differences between the remaining strength and the operating pressure. Then, based on structural reliability theory, we can estimate the failure probability of corroded pipeline, which is dependent on elapsed time of the pipeline with active corrosion defects. In this study, a root finding (RF) method has been adopted to solve the limit state function instead of Monte-Carlo simulation (MCS) method which traditionally has been employed to solve those kinds of problems. The calculation results shows that there are only small differences between the RF and the MCS method but the RF has higher efficiency in calculation than the MCS.

Development of a Spatting Model of Jointed Concrete Pavement by Investigating Long-Term Highway Pavement Performance (고속도로 장기 공용성 조사에 의한 줄눈 콘크리트 포장의 스폴링 모형 개발)

  • Jeong, Jin-Hoon;Yoo, Tae-Seok;Sim, Jong-Sung
    • International Journal of Highway Engineering
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    • v.7 no.2 s.24
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    • pp.77-86
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    • 2005
  • A spalling model for jointed connote pavements(JCP) was developed using the data of distresses, climates, and materials at the sections of long-term pavement performance(LTPP) investigation. The total of forty-four spatting distress data was collected at twenty-two JCP LTPP sections in 1999 and in 2004. In addition, the data of climates, geometric shapes of the slabs, and material properties was also collected at those times. Factors significantly influencing the spalling distress were found by a sensitivity analysis for the data. Consequently, a spatting model was developed by a multi-regression analysis for the factors. The model showed reasonable trend of the spatting development comparing to other foreign models.

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