• 제목/요약/키워드: Void detection

검색결과 67건 처리시간 0.035초

적외선법을 이용한 콘크리트 공동의 적용한계에 관한 기초적 연구 (Fundamental Study on the Limit of Thermographic Survey Applied to Detection of Void in Concrete)

  • 권오현
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 1999년도 봄 학술발표회 논문집(I)
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    • pp.799-806
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    • 1999
  • This study describes the results of experiment and numerical analysis for heating image by thermographic method when the size of void in concrete are changed. By comparing analytical solution by finite element method with measured image by thermography, the relationships between the surface temperature which can be confirmed by this method, the size of void and optimum time for detection of void and the difference of temperature are cleared.

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도로동공 탐지를 위한 지표투과레이더의 적정 주파수 선정에 관한 연구 (Determining the Optimal Frequency of Ground Penetrating Radar for Detecting Voids in Pavements)

  • 김연태;김부일;김제원;박희문;윤진성
    • 한국도로학회논문집
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    • 제18권2호
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    • pp.37-42
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    • 2016
  • PURPOSES : The objective of this study is to determine the optimal frequency of ground penetrating radar (GPR) testing for detecting the voids under the pavement. METHODS : In order to determine the optimal frequency of GPR testing for void detection, a full-scale test section was constructed to simulate the actual size of voids under the pavement. Voids of various sizes were created by inserting styrofoam at varying depths under the pavement. Subsequently, 250-, 500-, and 800-MHz ground-coupled GPR testing was conducted in the test section and the resulting GPR signals were recorded. The change in the amplitude of these signals was evaluated by varying the GPR frequency, void size, and void depth. The optimum frequency was determined from the amplitude of the signals. RESULTS: The capacity of GPR to detect voids under the pavement was evaluated by using three different ground-coupled GPR frequencies. In the case of the B-scan GPR data, a parabolic shape occurred in the vicinity of the voids. The maximum GPR amplitude in the A-scan data was used to quantitatively determine the void-detection capacity. CONCLUSIONS: The 250-MHz GPR testing enabled the detection of 10 out of 12 simulated voids, whereas the 500-MHz testing allowed the detection of only five. Furthermore, the amplitude of GPR detection associated with 250-MHz testing is significantly higher than that of 500-MHz testing. This indicates that 250-MHz GPR testing is well-suited for the detection of voids located at depths ranging from 0.5~2.0 m. Testing at frequencies lower than 250 MHz is recommended for void detection at depths greater than 2 m.

볼 그리드 배열 기판의 X-ray 영상에서의 새로운 덩어리 검출 필터를 이용한 기포 형태 결함 검출 방법 (Detection of Void Defects in Ball Grid Array X-ray Image Using a New Blob Filter)

  • 팽소호;이혜정;남현도
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2011년도 제42회 하계학술대회
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    • pp.2005-2006
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    • 2011
  • 작은 크기 다양한 입출력 포트 등의 많은 이점으로 PCB 회로기판에서 볼그리드배열(BGA) 방식의 기판이 사용되고 있다 하지만 BGA 기판 내부 기포는 기판의 성능을 떨어뜨리고 실패를 야기한다 자동적으로 X-ray 영상에서 기포를 검출하기 위해서 본 논문에서는 국부 영상 명암 변량 측정 방법을 이용한 새로운 덩어리 검출기를 제안한다 국부 영상 명암 변량의 활용은 영상의 밝기 기포의 모양, 기포의 위치 및 부품간의 간섭등에도 연산 결과에 영향이 적은 불변성을 가진다. 또한 박스 필터의 다양한 사이즈를 적용하여 다양한 크기의 영상을 분석하므로 결과적으로 제안한 덩어리 검출 필터는 기포의 다양한 크기에 도강력하다. 실험 결과는 제안한 기법이 정상 부위를 비정상 부위 로보이는 확률false-ratio)을 낮게 유지하면서 기포 검출률을96.104% 까지 높일 수있음을 보인다.

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Quantification of void shape in cemented materials

  • Onal, Okan;Ozden, Gurkan;Felekoglu, Burak
    • Computers and Concrete
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    • 제7권6호
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    • pp.511-522
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    • 2010
  • A color based segmentation procedure and a modified signature technique have been applied to the detection and analyses of complicated void shapes in cemented materials. The gray-scale segmentation and available signature methods were found to be inefficient especially for the analyses of complicated void shapes. The applicability of the developed methodology has been demonstrated on artificially prepared cemented materials made of self compacted concrete material. In order to characterize the void shapes in the investigated sample images, two new shape parameters called as coefficients of inclusion and exclusion have been proposed. When compared with the traditional use of the signature method, it was found that the methodology followed herein would better characterize complicated void shapes. The methodology followed in this study may be applied to the analysis of complicated void shapes that are often encountered in other cementitious materials such as clays and rocks.

비파괴시험을 통한 콘크리트포장 하부 공동조사 (Void Detection Under Concrete Pavement Using Nondestructive Testing)

  • 유택석;한승환
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 1999년도 봄 학술발표회 논문집(I)
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    • pp.781-786
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    • 1999
  • One of the major causes of concrete pavement deterioration is the loss of support due to erosion and pumping of subbase and subgrade. In this study, procedures for the detection of voids under concrete pavement slab are presented using nondestructive test method such as FWD(Falling Weight Deflectometer) and GPR(Ground Penetration Radar). The deflection responses of concrete slab obtained in FWD field test are analysed for determining the presence of void. Also, reflection responses in GPR test are interpreted. It was concluded that these procedures are available for detecting the viods under concrete pavement slab.

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인공공동 시험체를 이용한 적외선 열화상법에 의한 콘크리트 공동탐지에 관한 기초연구 (On void detection of concrete structures by Infrared thermography method)

  • 윤영호;전명훈;박지영;이정민;정란
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 2003년도 봄 학술발표회 논문집
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    • pp.169-174
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    • 2003
  • The purpose of this study is examine into the application of infrared thermography for voids detect in reinforced concrete structures. In this study, the experiments were carried out for analyze the effect of void size, cover, measurement time and distance on test piece which has artificial voids. Results of this study are as follows. Noiseless and high resolution thermography was acquired 11:00 - 14:00 and the thermography which taken 16:00 was not suitable for void detection. The difference of temperature between voids and solid to identification the existence of voids by eye is $0.3^{\circ}C$.

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신경망을 이용한 보이드 결함에 의한 열화진단 (Degradation Diagnosis by Void Defects Using a Neural Network)

  • 최재관;김성홍;김재환
    • 한국전기전자재료학회논문지
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    • 제11권10호
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    • pp.940-945
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    • 1998
  • In this paper, we obtained the data, which is required in training the neural network and diagnosing the degradation degree, by introducing the AE detection that is effective method in ordinary degradation diagnosis on activation. Aa the results of generalization tests by appling neural network to the unknown AE patterns obtained from two kinds of specimen, firstly as to evaluate an objective performance of neural network, the recognition ration for no-void specimen and 1[mm] -void specimen are appeared to be 98.9% and 92.5%, respectively. Also, in the evaluation of the adaptability of neural network with a new type of 0.2[mm] -void specimen, it is confirmed that the result appears to be 64% of recognition ratio at 94% of confidence interval coefficient in expectation output 0.2. On the other hand, the recognition capability of the neural network was confirmed by data from no-void and 1[mm] void specimen. The results prove the promising possibility of the application of ANN to discriminate specific void affecting as main degradation source at partial discharge condition in insulator containing multi-void by accummulated data base.

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Active Infrared Thermography for Visualizing Subsurface Micro Voids in an Epoxy Molding Compound

  • Yang, Jinyeol;Hwang, Soonkyu;Choi, Jaemook;Sohn, Hoon
    • 비파괴검사학회지
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    • 제37권2호
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    • pp.106-114
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    • 2017
  • This paper presents an automated subsurface micro void detection technique based on pulsed infrared thermography for inspecting epoxy molding compounds (EMC) used in electronic device packaging. Subsurface micro voids are first detected and visualized by extracting a lock-in amplitude image from raw thermal images. Binary imaging follows to achieve better visualization of subsurface micro voids. A median filter is then applied for removing sparse noise components. The performance of the proposed technique is tested using 36 EMC samples, which have subsurface (below $150{\mu}m{\sim}300{\mu}m$ from the inspection surface) micro voids ($150{\mu}m{\sim}300{\mu}m$ in diameter). The experimental results show that the subsurface micro voids can be successfully detected without causing any damage to the EMC samples, making it suitable for automated online inspection.