• Title/Summary/Keyword: 균열탐지

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Fatigue Damage Evaluation of Cr-Mo Steel with In-Situ Ultrasonic Surface Wave Assessment (초음파 시험에 의한 배관용 Cr-Mo강의 피로손상의 비파괴평가)

  • Kim, Sang-Tae;Lee, Hei-Dong;Yang, Hyun-Tae;Choi, Young-Geun
    • Journal of the Korean Society for Nondestructive Testing
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    • v.21 no.1
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    • pp.32-38
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    • 2001
  • Although the ultrasonic method has been developed and used widely in the fields, it has been used only for measuring the defect size and thickness loss. In this study, the relationship between surface wave attenuation through micro-crack growth and variation of velocity under repeated cyclic loading has been investigated. The specimens are adopted from 2.25Cr-1Mo steel, which is used for power plant and pipeline system, and have dimensions of $200{\times}40{\times}4mm$. The results of ultrasonic test with a 5MHz transducer show that surface wave velocity gradually decreases from the point of 60% of fatigue life and the crack length of 2mm with the increasing fatigue cycles. From the results of this study, it is found that the technique using the ultrasonic velocity change is one of very useful methods to evaluate the fatigue life nondestructively.

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Detection of Fatigue Damage in Aluminum Thin Plates with Rivet Holes by Acoustic Emission (리벳 구멍을 가진 알루미늄 박판구조의 피로손상 탐지를 위한 음향방출의 활용)

  • Kim, Jung-Chan;Kim, Sung-Jin;Kwon, Oh-Yang
    • Journal of the Korean Society for Nondestructive Testing
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    • v.23 no.3
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    • pp.246-253
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    • 2003
  • The initiation and growth of short fatigue cracks in the simulated aircraft structure with a series of rivet holes was detected by acoustic emission (AE). The location and the size of short tracks were determined by AE source location techniques and the measurement with traveling microscope. AE events increased intermittently with the initiation and growth of short cracks to form a stepwise increment curve of cumulative AE events. For the precise determination of AE source locations, a region-of-interest (ROI) was set around the rivet holes based on the plastic zone size in fracture mechanics. Since the signal-to-noise ratio (SNR) was very low at this early stage of fatigue cracks, the accuracy of source location was also enhanced by the wavelet transform do-noising. In practice, the majority of AE signals detected within the ROI appeared to be noise from various origins. The results showed that the effort of structural geometry and SNR should be closely taken into consideration for the accurate evaluation of fatigue damage in the structure.

CycleGAN Based Translation Method between Asphalt and Concrete Crack Images for Data Augmentation (데이터 증강을 위한 순환 생성적 적대 신경망 기반의 아스팔트와 콘크리트 균열 영상 간의 변환 기법)

  • Shim, Seungbo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.5
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    • pp.171-182
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    • 2022
  • The safe use of a structure requires it to be maintained in an undamaged state. Thus, a typical factor that determines the safety of a structure is a crack in it. In addition, cracks are caused by various reasons, damage the structure in various ways, and exist in different shapes. Making matters worse, if these cracks are unattended, the risk of structural failure increases and proceeds to a catastrophe. Hence, recently, methods of checking structural damage using deep learning and computer vision technology have been introduced. These methods usually have the premise that there should be a large amount of training image data. However, the amount of training image data is always insufficient. Particularly, this insufficiency negatively affects the performance of deep learning crack detection algorithms. Hence, in this study, a method of augmenting crack image data based on the image translation technique was developed. In particular, this method obtained the crack image data for training a deep learning neural network model by transforming a specific case of a asphalt crack image into a concrete crack image or vice versa . Eventually, this method expected that a robust crack detection algorithm could be developed by increasing the diversity of its training data.

A Study on Detection and Monitoring in land creeping area by Using the UAV (무인기를 활용한 산지 땅밀림 피해지점 탐지 및 모니터링 방안 연구)

  • Seo, Jun-Pyo;Woo, Choong-Shik;Lee, Chang-Woo;Kim, Dong-Yeob
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.11
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    • pp.481-487
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    • 2018
  • This paper proposes a method to detect and monitor the land creeping area using a UAV to analyze the damaged area efficiently. Using a UAV, it was possible to secure the safety of the investigators before the field survey and effectively utilize it to establish an investigation plan because an orthophoto can be used to detect and scale the cracks in a land creeping area. In addition, it was possible to analyze the scale of the crack quantitatively by extracting the topographic information from the orthophoto. The study sites were found to have a total crack area of 1.01 ha, a length of 1.07 km, an average width of 10 m, and a step distance of 1 to 10 m. Periodic UAV measurements can be used to detect displacements on the land creeping area and monitor the direction and scale of crack spread. Therefore, it is expected to be used effectively during recovery planning. Applying the UAV to the land creeping area resulted in the qualitative and quantitative results quickly and easily in dangerous mountainous watersheds. Therefore, it is expected that it will contribute to the development of related industries because of the high availability of a UAV in forest soil sediment disasters, such as landslides, debris flow, and land creeping area.

A Study on Temperature Characteristics of Various Depth using Infrared Thermography (적외선 열화상기법을 이용한 균열 깊이에 따른 온도특성에 관한 연구)

  • Jung, Ju-Yeong;Yoon, Hyuk-Jin;Cho, Hyun-Woo;Yang, Hui-Seung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.3
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    • pp.83-89
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    • 2018
  • The thermal characteristics of concrete specimens were analyzed using cement paste specimens with artificial cracks. In order to understand the temperature characteristics of the specimen depending on the crack depth, the specimen was heated and the minimum temperatures of the specimens at which cracks appear were investigated according to the crack depth. It was confirmed that the surface temperature distribution of the specimen varies depending on whether the specimen is cracked or not, because of the single and multiple reflections of the incident energy. Furthermore, as the temperature distribution of the specimen reaches a steady state, the temperature data tends to decrease with the crack depth. Through the observation of the normalized temperatures, it was found that the temperature of the specimens obtained from this experiment reached a steady state after 10 minutes. At this time, the standard deviation of the normalized temperature is around 0.01 or less, and the temperature decreases linearly with increasing crack depth. This result is considered to be closely related to the area where multiple reflections occur in the cracked region. If the correlation between the crack region and the incident energy is analyzed for various specimens, it can be applied to the diffuse reflection of the light.

Development of Crack Detecting Method at Steam Turbine Blade Root Finger using Ultrasonic Test (초음파탐상 검사를 이용한 증기터빈 블레이드 루트 휭거 균열 탐지기법 개발)

  • Yun, Wan-No;Kim, Jun-Sung;Kang, Myung-Soo;Kim, Duk-Nam
    • Journal of the Korean Society for Precision Engineering
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    • v.28 no.6
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    • pp.738-744
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    • 2011
  • The reliability of blade root fixing section is required to endure the centrifugal force and vibration stress for the last stage blade of steam turbine in thermal power plant. Most of the domestic steam turbine last stage blades have finger type roots. The finger type blade is very complex, so the inspection had been performed only on the exposed fixing pin cross-section area due to the difficulty of inspection. But the centrifugal force and vibration stress are also applied at the blade root finger and the crack generates, so the inspection method for finger section is necessary. For the inspection of root finger, inspection points were decided by simulating ultra-sonic path with 3D modeling, curve-shape probe and fixing jig were invented, and the characteristics analysis method of ultrasonic reflection signal and defect signal disposition method were invented. This invented method was actually executed at site and prevented the blade liberation failure by detecting the cracks at the fingers. Also, the same type blades of the other turbines were inspected periodically and the reliability of the turbine increased.

Dynamic Characteristics of Cable-Stayed Anchorage considering Cracks at Bolt and Welding Connection (용접 및 볼트 연결부 균열을 고려한 사장교 케이블 정착부의 동특성 해석)

  • Kim, Chul Young;Kim, Sung Bo;Jung, Woo Tai
    • Journal of Korean Society of Steel Construction
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    • v.11 no.4 s.41
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    • pp.351-362
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    • 1999
  • Damage detection methods which utilize the change in dynamic characteristics are very hard to apply to large civil structures since local damage hardly affects global dynamic characteristics. But, if there is a very important and critical member and we focus only on the local behavior of it, it would be possible to detect damage from the change in local dynamic characteristics, such as natural frequencies and mode shapes .In this study, the cable anchorage part of a cable-stayed bridge under construction is modeled and analyzed by commercial finite element program, ABAQUS. It has both welding and bolting connections with a cable and a stiffening plate, and has a possible high stress concentration portions in it. Several damage scenarios such as crack through the welding or crack through the bolting connection are examined. The result shows that the local natural frequencies of the damaged member decrease up to 16% compared with that of the undamaged member. It is concluded that there is quite a high feasibility that the damage of the cable anchorage can be detected by measuring local dynamic characteristics.

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The Basic Study on the Method of Acoustic Emission Signal Processing for the Failure Detection in the NPP Structures (원전 구조물 결함 탐지를 위한 음향방출 신호 처리 방안에 대한 기초 연구)

  • Kim, Jong-Hyun;Korea Aerospace University, Jae-Seong;Lee, Jung;Kwag, No-Gwon;Lee, Bo-Young
    • Journal of the Korean Society for Nondestructive Testing
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    • v.29 no.5
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    • pp.485-492
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    • 2009
  • The thermal fatigue crack(TFC) is one of the life-limiting mechanisms at the nuclear power plant operating conditions. In order to evaluate the structural integrity, various non-destructive test methods such as radiographic test, ultrasonic test and eddy current are used in the industrial field. However, these methods have restrictions that defect detection is possible after the crack growth. For this reason, acoustic emission testing(AET) is becoming one of powerful inspection methods, because AET has an advantage that possible to monitor the structure continuously. Generally, every mechanism that affects the integrity of the structure or equipment is a source of acoustic emission signal. Therefore the noise filtering is one of the major works to the almost AET researchers. In this study, acoustic emission signal was collected from the pipes which were in the successive thermal fatigue cycles. The data were filtered based on the results from previous experiments. Through the data analysis, the signal characteristics to distinguish the effective signal from the noises for the TFC were proven as the waveform difference. The experiment results provide preliminary information for the acoustic emission technique to the continuous monitoring of the structure failure detection.