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      다국어 초록 (Multilingual Abstract)

      A damage detection method using natural frequency and strain mode shape calculated from dynamic strain date obtained by distributed fiber optic sensor is presented. An analytical model for cracked beam is used to calculate the natural frequency and st...

      A damage detection method using natural frequency and strain mode shape calculated from dynamic strain date obtained by distributed fiber optic sensor is presented. An analytical model for cracked beam is used to calculate the natural frequency and strain mode shape for damaged beam, and damage location and severity are estimated based on neural network technique using the measured natural frequency and strain mode shape. An experimental study was carried out on a cracked cantilever beam to verify the present method for damage identification. The cracks were inflicted on the beam and free vibration tests were performed for the dynamic strain data from the distributed fiber optic sensor. The damage estimation was carried out and it has been found that the identified damage locations and severities agree reasonably well with the inflicted damages on the structure.

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      목차 (Table of Contents)

      • Abstract
      • 1. 서론
      • 2. 분포형 광섬유센서
      • 3. 에너지법을 이용한 균열 보의 변형률 모드
      • 4. 손상실험
      • Abstract
      • 1. 서론
      • 2. 분포형 광섬유센서
      • 3. 에너지법을 이용한 균열 보의 변형률 모드
      • 4. 손상실험
      • 5. 손상추정
      • 6. 결론
      • 감사의 글
      • 참고문헌
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      참고문헌 (Reference)

      1 허영철, "에너지 방법을 이용한 Euler-Bernoulli 보의 손상규명" 2006

      2 장용석, "광섬유 브래그 격자 센서를 이용한 교량의 건전성 감시기법" 한국과학기술원 2001

      3 Jiang, S.F., "Two-stage Structural Damage Detection Using Fuzzy Neural Networks and Data Fusion Techniques" 38 : 511-519, 2011

      4 Zhang, W., "The Strain Field Method for Structural Damage Identification Using Brillouin Optical Fiber Sensing" 16 : 843-850, 2007

      5 Zeng, X., "Strain Measurement in a Concrete Beam by Use of the Brillouin-scattering-based Distributed Fober Sensor with Single-mode Fibers Embeded in Glass Fiber Reinforced Polymer Rods and Bonded to Steel Reinforcing Bars" 41 (41): 5105-5114, 2002

      6 Parka, J.H., "Sequential damage detection approaches for beams using time-modal features and artificial neural networks" Academic Press 323 (323): 451-474, 200906

      7 Gonzalez, M.P., "Seismic Damage Identification in Buildings Using Neural Networks and Modal Data" 86 : 416-426, 2008

      8 Bastianini, F., "Retrofit and Monitoring of an Historical Building Using ‘‘Smart’’ CFRP with Embedded Fibre Optic Brillouin Sensors" 19 : 525-535, 2005

      9 Otte, D., "Operational Shapes Estimation as a Function of Dynamic Loads" 413-421, 1990

      10 Matsuoka, K., "Noise Injection Into Inputs in Back-propagation Learning" 22 (22): 436-440, 1992

      1 허영철, "에너지 방법을 이용한 Euler-Bernoulli 보의 손상규명" 2006

      2 장용석, "광섬유 브래그 격자 센서를 이용한 교량의 건전성 감시기법" 한국과학기술원 2001

      3 Jiang, S.F., "Two-stage Structural Damage Detection Using Fuzzy Neural Networks and Data Fusion Techniques" 38 : 511-519, 2011

      4 Zhang, W., "The Strain Field Method for Structural Damage Identification Using Brillouin Optical Fiber Sensing" 16 : 843-850, 2007

      5 Zeng, X., "Strain Measurement in a Concrete Beam by Use of the Brillouin-scattering-based Distributed Fober Sensor with Single-mode Fibers Embeded in Glass Fiber Reinforced Polymer Rods and Bonded to Steel Reinforcing Bars" 41 (41): 5105-5114, 2002

      6 Parka, J.H., "Sequential damage detection approaches for beams using time-modal features and artificial neural networks" Academic Press 323 (323): 451-474, 200906

      7 Gonzalez, M.P., "Seismic Damage Identification in Buildings Using Neural Networks and Modal Data" 86 : 416-426, 2008

      8 Bastianini, F., "Retrofit and Monitoring of an Historical Building Using ‘‘Smart’’ CFRP with Embedded Fibre Optic Brillouin Sensors" 19 : 525-535, 2005

      9 Otte, D., "Operational Shapes Estimation as a Function of Dynamic Loads" 413-421, 1990

      10 Matsuoka, K., "Noise Injection Into Inputs in Back-propagation Learning" 22 (22): 436-440, 1992

      11 Haykin, S., "Neural Networks-a Comprehensive Foundation" Macmillan 1994

      12 Ohno, H., "Industrial Applications of the BOTDR Optical Fiber Strain Sensor" 7 : 45-64, 2001

      13 Xuan, F.Z., "In Situ Monitoring on Prestress Losses in the Reinforced Structure with Fiber-optic Sensors" 42 : 107-111, 2009

      14 ABS, "Guide for Hull Condition Monitoring Systems" American Bureau of Shipping & Affiliated Companies 1995

      15 Gorman, D.J., "Free Vibration Analysis of Beams and Shafts" John Wiley and Sons, Inc 1975

      16 Mehrani, E., "Evaluation of Fiber Optic Sensors for Remote Health Monitoring of Bridge Structures" 42 : 183-199, 2009

      17 Ren, L., "Design and Application of a Fiber Bragg Grating Strain Sensor with Enhanced Sensitivity in the Small-scale Dam Model" 18 : 1-7, 2009

      18 Elshafey, A.A., "Damage Detection in Offshore Structures Using Neural Networks" 23 : 131-145, 2010

      19 Bakhary, N., "Damage Detection Using Artificial Neural Network with Consideration of Uncertainties" 29 : 2806-2815, 2007

      20 이종원, "Damage Detection Method for Large Structures Using Static and Dynamic Strain Data from Distributed Fiber Optic Sensor" 한국강구조학회 10 (10): 91-97, 2010

      21 Yang, X. F., "Crack Identification in Vibrating Beams Using the Energy Method" 244 : 339-357, 2001

      22 Owolabi, G.M., "Crack Detection in Beams Using Changes in Frequencies and Amplitudes of Frequency Response Functions" 265 : 1-22, 2003

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      연월일 이력구분 이력상세 등재구분
      2022 평가예정 계속평가 신청대상 (등재유지)
      2017-01-01 평가 우수등재학술지 선정 (계속평가)
      2013-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2011-03-25 학술지명변경 한글명 : 대한건축학회 논문집(구조계) -> 대한건축학회논문집 구조계
      외국어명 : Journal of the Architectural Institute of Korea(Structure & Construction) -> Journal of the Architectural Institute of Korea Structure & Construction
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      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
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      2001-07-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      1999-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      2016 0.35 0.35 0.33
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