대한건축학회논문집:구조계 (Journal of the Architectural Institute of Korea Structure & Construction)

  • 제33권5호
  • /
  • Pages.29-36
  • /
  • 2017
  • /
  • 1226-9107(pISSN)
  • /
  • 2384-1788(eISSN)
대한건축학회 (Architectural Institute of Korea)
권호 표지
DOI QR코드

DOI QR Code

탄성지지된 원형강관 캔틸레버형 보의 균열탐지기법

Pipe Crack Identification of Elastically Restrained Cantilever-type Beam

  • 이종원 (남서울대학교 건축공학과)
  • Lee, Jong-Won (Department of Architectural Engineering, Namseoul University)
  • 투고 : 2017.01.19
  • 심사 : 2017.03.29
  • 발행 : 2017.05.30
⟨ 이전 논문 다음 논문 ⟩

초록

A method to detect location and size of a pipe crack in elastically restrained cantilever-type beam using changes in natural frequencies is presented. Modal properties of elastically restrained cantilever-type beam are identified by applying the boundary conditions to a general solution. An equivalent bending stiffness for cracked beam based on an energy method is used to identify natural frequencies of elastically restrained cantilever-type thin-walled pipe, which has a through-the-thickness crack, subjected to bending. Then, numerical simulations are carried out to construct a set of training patterns of a neural network, and committee of neural networks is employed to identify the crack. Crack identifications are carried out for the 4 damage cases experimentally, and the identified crack locations and sizes agree reasonably well with the exact values.

키워드

과제정보

연구 과제 주관 기관 : 남서울대학교

참고문헌

  1. Dilena, M., Dell'Oste, M. F., & Morassi, A. (2011). Detecting cracks in pipes filled with fluid from changes in natural frequencies, Mechanical Systems and Signal Processing, 25, 3186-3197. https://doi.org/10.1016/j.ymssp.2011.04.013
  2. Gorman, D. J. (1975). Free Vibration Analysis of Beams and Shafts, John Wiley & Sons, 4-5.
  3. Huh, Y. C., Kim, J. K., & Park, S. H. (2007). A study about the damage model of a cantilever beam with open crack generated in whole breadth of the beam, Transactions of the Korean Society for Noise and Vibration Engineering, 11, 936-945.
  4. Lee, J. W., Kim, S. R., & Huh, Y. C. (2014). Pipe crack identification based on the energy method and committee of neural networks, International Journal of Steel Structures, 14, 345-354. https://doi.org/10.1007/s13296-014-2014-0
  5. Murigendrappa, S. M., Maiti, S. K., & Srirangarajan, H. R. (2004). frequency-based experimental and theoretical identification of multiple cracks in straight pipes filled with fluid, NDT&E International, 37, 431-438. https://doi.org/10.1016/j.ndteint.2003.11.009
  6. Naniwadekar, M. R., Naik, S. S., & Maiti, S. K. (2008). On prediction of crack in different orientations in pipe using frequency based approach, Mechanical Systems and Signal Processing, 22, 693-708. https://doi.org/10.1016/j.ymssp.2007.09.007
  7. Wang, Y. M., Chen X. F., & Heb Z. J. (2011). Daubechies wavelet finite element method and genetic algorithm for detection of pipe crack, Nondestructive Testing and Evaluation, 26, 87-99. https://doi.org/10.1080/10589759.2010.521826
  8. Yang, X. F., Swamidas, A. S. J., & Seshadri, R. (2001). Crack identification in vibrating beams using the energy method, Journal of Sound and Vibration, 244, 339-357. https://doi.org/10.1006/jsvi.2000.3498
  9. Ye J., He Y., Chen X., Zhai, Z., Wang, Y., & He, Z. (2010). Pipe crack identification based on finite element method of second generation wavelets, Mechanical Systems and Signal Processing, 24, 379-393. https://doi.org/10.1016/j.ymssp.2009.08.001