• 제목/요약/키워드: Flaw rate

검색결과 39건 처리시간 0.021초

피로하중을 받는 구조물의 결함분포에 대한 확률론적 해석 (Probabilistic Analysis of Flaw Distribution on Structure Under Cyclic Load)

  • 곽상록;최영환;김효정
    • 대한기계학회:학술대회논문집
    • /
    • 대한기계학회 2003년도 춘계학술대회
    • /
    • pp.604-609
    • /
    • 2003
  • Flaw geometries, applied stress, and material properties are major input variables for the fracture mechanics analysis. Probabilistic approach can be applied for the consideration of uncertainties within these input variables. But probabilistic analysis requires many assumptions due to the lack of initial flaw distributions data. In this study correlations are examined between initial flaw distributions and in-service flaw distributions on structures under cyclic load. For the analysis, LEFM theories and Monte Carlo simulation are applied. Result shows that in-service flaw distributions are determined by initial flaw distributions rather than fatigue crack growth rate. So initial flaw distribution can be derived from in-service flaw distributions.

  • PDF

ECA 기법을 이용한 해양구조물의 결함 평가 (Flaw Assessment on an Offshore Structure using Engineering Criticality Analysis)

  • 강범준;김유일;류철호;기혁근;박성건;오영태
    • 대한조선학회논문집
    • /
    • 제52권6호
    • /
    • pp.435-443
    • /
    • 2015
  • Offshore structure may be considerably vulnerable to fatigue failure while initial flaw propagates under cyclic loading, so crack propagation analysis/fracture/yield assessments about initial flaw detected by NDT are necessarily required. In this paper, case studies have been conducted by flaw assessment program using engineering criticality analysis (ECA) approach. Variables such as flaw geometry, flaw size, structure geometry, dynamic stress, static stress, toughness, crack growth rate, stress concentration factor (SCF) affected by weld are considered as analysis conditions. As a result, the safety of structure was examined during fatigue loading life. Also, critical initial flaw size was calculated by sensitivity module in the developed program. The flaw assessments analysis using ECA approach can be very useful in offshore industries owing to the increasing demand on the engineering criticality analysis of potential initial flaws.

직류전위차법을 이용한 결함검출에 관한 연구 (A Study on Detecting Flaws Using DC Potential Drop Method)

  • 배봉국;석창성
    • 대한기계학회논문집A
    • /
    • 제24권4호
    • /
    • pp.874-880
    • /
    • 2000
  • In this paper, a DC potential drop measurement system was used to find the position of the flaw on a simple thin plate. Four-point probe test was evaluated and used for this study. In the four-point probe test, the more distance between current pins provides the more measurable scope, the less voltage difference, and the more voltage difference rate. In the other hand, the more distance between voltage pins provides the less voltage difference and the less voltage difference rate. An optimized four-point probe was applied to measure the relation between voltage and the relative position of flaw to the probe. The Maxwell 21) simulator was used to analyze the electromagnetic field, and it showed that the analytical result was similar to the experimental result within 11.4% maximum error.

용접결함의 패턴인식을 위한 디지털 신호처리에 관한 연구 (A Study on the Digital Signal Processing for the Pattern fiecognition of Weld Flaws)

  • 김재열;송찬일;김병현
    • 한국정밀공학회:학술대회논문집
    • /
    • 한국정밀공학회 1995년도 추계학술대회 논문집
    • /
    • pp.393-396
    • /
    • 1995
  • In this syudy, the researches classifying the artificial and natural flaws in welding parts are performed using the smart pattern recognition technology. For this purpose the smart signal pattern recognition package including the user defined function was developed and the total procedure including the digital signal processing,feature extraction , feature selection and classifier selection is treated by bulk. Specially it is composed with and discussed using the statistical classifier such as the linear disciminant function classifier, the empirical Bayesian classifier. Also, the smart pattern recognition technology is applied to classification problem of natural flaw(i.e multiple classification problem-crack,lack of penetration,lack of fusion,porosity,and slag inclusion, the planar and volumetric flaw classification problem). According to this results, if appropriately learned the neural network classifier is better than ststistical classifier in the classification problem of natural flaw. And it is possible to acquire the recognition rate of 80% above through it is different a little according to domain extracting the feature and the classifier.

  • PDF

유효 POD를 이용한 물리적 결함 수의 추정 (Estimation of the Number of Physical Flaws Using Effective POD)

  • 이재봉;박재학;김홍덕;정한섭
    • 한국안전학회지
    • /
    • 제21권4호
    • /
    • pp.42-48
    • /
    • 2006
  • The strategies of maintenance and operation are usually established based on the number of flaws and their size distribution obtained from nondestructive inspection in order to preserve safety of the plant. But non destructive inspection results are different from the physical flaws which really exist in the equipments. In case of a single inspection, it is easy to estimate the number of physical flaws using the POD curve. However, we may be faced with some difficulties in obtaining the number of physical flaws from the periodic in-service non destructive inspection data. In this study a simple method for estimating the number of physical flaws from periodic in-service nondestructive inspection data was proposed. In order to obtain the flaw growth history, the flaw growth was simulated using the Monte Carlo method and the flaw size and the corresponding POD value were obtained for each flaw at each periodic inspection time. The flaw growth rate used in the simulation was statistically calculated from the in-service inspection data. By repeating the simulation numerous flaw growth data could be generated and the effective POD curve was obtained as a function of flaw size. From the effective POD curve the number of physical flaws was obtained. The usefulness and convenience of the proposed method was evaluated from several applications and satisfactory results were obtained.

Dynamic Strain Aging on the Leak-Before-Break Analysis in SA106 Gr.C Piping Steel

  • Kim, Jin-Weon;Kim, In-Sup
    • 한국원자력학회:학술대회논문집
    • /
    • 한국원자력학회 1996년도 춘계학술발표회논문집(3)
    • /
    • pp.193-198
    • /
    • 1996
  • The effect of dynamic strain aging (DSA) on the leak-before-break (LBB) analysis was estimated through the evaluation of leakage-size-crack and flaw stability in SA106 Gr.C piping steel. Also. the results were represented as a form of "LBB allowable load window". In the DSA temperature region. the leakage-size-crack length was smaller than that at other temperatures and it increased with increasing tensile strain rate. In the results of flaw stability analysis. the lowest instability load appeared at the temperature corresponding to minimum J- R curve which was caused by DSA. The instability load near the plant operating temperature depended on the loading rate of J-R data. and decreased with increasing tensile strain rate. These are due to the strain hardening characteristic and strain rate sensitivity of DSA. In the "LBB allowable load window". LBB allowable region was the narrowest at the temperature and loading conditions where DSA occurs.

  • PDF

미소결함의 형상인식을 위한 디지털 신호처리 적용에 관한 연구 (A Study on the Application of Digital Signal Processing for Pattern Recognition of Microdefects)

  • 홍석주
    • 한국생산제조학회지
    • /
    • 제9권1호
    • /
    • pp.119-127
    • /
    • 2000
  • In this study the classified researches the artificial and natural flaws in welding parts are performed using the pattern recognition technology. For this purpose the signal pattern recognition package including the user defined function was developed and the total procedure including the digital signal processing feature extraction feature selection and classifi-er selection is teated by bulk,. Specially it is composed with and discussed using the statistical classifier such as the linear discriminant function the empirical Bayesian classifier. Also the pattern recognition technology is applied to classifica-tion problem of natural flaw(i.e multiple classification problem-crack lack of penetration lack of fusion porosity and slag inclusion the planar and volumetric flaw classification problem), According to this result it is possible to acquire the recognition rate of 83% above even through it is different a little according to domain extracting the feature and the classifier.

  • PDF

DETERMINISTIC EVALUATION OF DELAYED HYDRIDE CRACKING BEHAVIORS IN PHWR PRESSURE TUBES

  • Oh, Young-Jin;Chang, Yoon-Suk
    • Nuclear Engineering and Technology
    • /
    • 제45권2호
    • /
    • pp.265-276
    • /
    • 2013
  • Pressure tubes made of Zr-2.5 wt% Nb alloy are important components consisting reactor coolant pressure boundary of a pressurized heavy water reactor, in which unanticipated through-wall cracks and rupture may occur due to a delayed hydride cracking (DHC). The Canadian Standards Association has provided deterministic and probabilistic structural integrity evaluation procedures to protect pressure tubes against DHC. However, intuitive understanding and subsequent assessment of flaw behaviors are still insufficient due to complex degradation mechanisms and diverse influential parameters of DHC compared with those of stress corrosion cracking and fatigue crack growth phenomena. In the present study, a deterministic flaw assessment program was developed and applied for systematic integrity assessment of the pressure tubes. Based on the examination results dealing with effects of flaw shapes, pressure tube dimensional changes, hydrogen concentrations of pressure tubes and plant operation scenarios, a simple and rough method for effective cooldown operation was proposed to minimize DHC risks. The developed deterministic assessment program for pressure tubes can be used to derive further technical bases for probabilistic damage frequency assessment.

열처리 환경에서 웨이브렛 적응 필터를 이용한 초음파 비파괴 검사의 결함 검출 (Flaw Detection of Ultrasonic NDT in Heat Treated Environment Using WLMS Adaptive Filter)

  • 임내묵;전창익;김성환
    • 한국음향학회지
    • /
    • 제18권7호
    • /
    • pp.45-55
    • /
    • 1999
  • 본 논문에서는 그레인 잡음을 제거하기 위해서 웨이브렛 변환(wavelet transform)에 근간을 둔 웨이브렛 적응 필터(WLMS adaptive filter : Wavelet domain Least Mean Square adaptive filter)를 사용하였다. 보통 그레인 잡음은 고온의 환경에서 금속의 결정구조가 변화함에 따라 발생된다. 웨이브렛 평면에서의 적응 필터링은 필터의 입력신호를 직교 변환하여 입력으로 이용함으로써 수렴 속도를 향상시킬 수 있는 장점을 가지고 있다. 적응 필터의 기준 입력 신호는 원시 입력 신호를 지연시킨 신호를 이용하였으며, 적응 필터의 출력은 다시 CA-CFAR(Cell Average - Constant False Alarm Rate) 임계 추정기(threshold estimator)를 거쳐 자동적으로 원하는 신호부분만 나타내도록 하였다. 우선 신호의 통계적 특성을 알기 위하여 run 테스트를 수행하여 기준 입력 신호가 비정상성(nonstationarity)을 나타냄을 보였고, 웨이브렛 적응필터가 시평면 적응필터보다 수렴속도면에서 우수함을 보였으며, 각 적응 필터의 출력신호에 대해서 신호대 잡음비를 통해 성능평가를 하였다. 시평면 적응 필터링 후에는 신호대 잡음비가 2-3㏈ 향상을 보였고, 반면 웨이브렛 적응 필터링후에는 신호대 잡음비가 4-6㏈ 향상을 보였다.

  • PDF

영향계수를 이용한 원자로 압력용기의 운전제한곡선 작성 : 냉각곡선 (Construction of the P-T Limit Curve for the Nuclear Reactor Pressure Vessel Using Influence Coefficient Methods : Cooldown Curve)

  • 장창희
    • 대한기계학회논문집A
    • /
    • 제26권3호
    • /
    • pp.505-513
    • /
    • 2002
  • During heatup and cooldown of pressurized water reactor, thermal stress was generated in the reactor pressure vessel (RPV) because of the temperature gradient. To prevent potential failure of RPV, pressure was required to be maintained below the P-T limit curves. In this paper, several methods for constructing the P-T limit curves including the ASME Sec. XI, App. G method were explained and the results were compared. Then, the effects of the various parameters such as flaw size, flaw orientation, cooldown rate, existence of chad, and reference fracture toughness, were evaluated. It was found that the current ASME Sec. XI App. G method resulted in the most conservative P-T limit curve. As the more accurate fracture mechanics analysis results were used, some of the conservatism can be removed. Among the parameters analysed, reference flaw orientation and reference fracture toughness curve had the greatest effect on the resulting P-T limit curves.