DOI QR코드

DOI QR Code

테이퍼 원형강관 캔틸레버 보의 결함탐지기법

Fault Detection Method of Tapered Cantilever Pipe-type Beam

  • 이종원 (남서울대학교 건축공학과)
  • 투고 : 2014.09.27
  • 심사 : 2015.02.09
  • 발행 : 2015.02.28

초록

A crack identification method using an equivalent bending stiffness for cracked beam and committee of neural networks is presented. Modal properties of tapered cantilever pipe-type beam is identified by applying the boundary conditions to a general solution for tapered beam. A bending stiffness for cracked beam based on an energy method is used to identify natural frequencies and mode shapes of tapered cantilever thin-walled pipe, which has a through-the-thickness crack, subjected to bending. The identified modal properties of the cracked beam are used in constructing training patterns of neural networks. Then crack location and size are identified using a committee of the neural networks. Crack detection was carried out for an example beam using the proposed method, and the identified crack locations and sizes agree reasonably well with the exact values.

키워드

과제정보

연구 과제 주관 기관 : 한국연구재단

참고문헌

  1. Auciello, N. M. and Nole, G., Vibrations of a aantilever tapered beam with varying section properties and carrying a mass at the free end, Journal of Sound and Vibration, 214, p.p.105-119, 1998 https://doi.org/10.1006/jsvi.1998.1538
  2. Chen, D. W. and Wu, J .S., The exact solutions for the natural frequencies and mode shapes of non-uniform beams with multiple spring-mass systems, Journal of Sound and Vibration, 255, p.p.299-322, 2002 https://doi.org/10.1006/jsvi.2001.4156
  3. Dilena M., Dell'Oste M. F. and Morassi A., Detecting cracks in pipes filled with fluid from changes in natural frequencies, Mechanical Systems and Signal Processing, 25, p.p.3186-3197, 2011 https://doi.org/10.1016/j.ymssp.2011.04.013
  4. Ece, M. C., Aydogdu, M. and Taskin, V., Vibration of a variable cross-section beam, Mechanics Research Communications, 34, p.p.78-84, 2007 https://doi.org/10.1016/j.mechrescom.2006.06.005
  5. Gorman, D. J., Free Vibration Analysis of Beams and Shafts, John Wiley & Sons, p.p.374-379, 1975
  6. Lee, J. W., Kim, S. R. and Huh, Y. C., Pipe crack identification based on the energy method and committee of neural networks, International Journal of Steel Structures, 14, 345-354, 2014 https://doi.org/10.1007/s13296-014-2014-0
  7. Murigendrappa S. M., Maiti S. K. and Srirangarajan H. R., Frequency-based experimental and theoretical identification of multiple cracks in straight pipes filled with fluid, NDT&E International, 37, p.p.431-438, 2004a https://doi.org/10.1016/j.ndteint.2003.11.009
  8. Murigendrappa S. M., Maiti S. K. and Srirangarajan H. R., Experimental and theoretical study on crack detection in pipes filled with fluid, Journal of Sound and Vibration, 270, p.p.1013-1032, 2004b https://doi.org/10.1016/S0022-460X(03)00198-6
  9. Naniwadekar M. R., Naik S. S. and Maiti S. K., On prediction of crack in different orientations in pipe using frequency based approach, Mechanical Systems and Signal Processing, 22, p.p.693-708, 2008 https://doi.org/10.1016/j.ymssp.2007.09.007
  10. Perrone, M. P., General averaging results for convex optimization, Proceedings of Connectionist Models Summer School, Hillsdale, p.p. 364-371, 1993
  11. Rosa, M. A. D., Lippiello, M., Maurizi, M. J. and Martin, H. D., Free vibration of elastically restrained cantilever tapered beams with concentrated viscous damping and mass, Mechanics Research Communications, 37, p.p.261-264, 2010 https://doi.org/10.1016/j.mechrescom.2009.11.006
  12. Wang Y. M., Chen X. F. and Heb Z. J., Daubechies wavelet finite element method and genetic algorithm for detection of pipe crack, Nondestructive Testing and Evaluation, 26, p.p.87-99, 2011 https://doi.org/10.1080/10589759.2010.521826
  13. Yang X. F., Swamidas A. S. J. and Seshadri R. Crack identification in vibrating beams using the energy method, Journal of Sound and Vibration, 244, p.p.339-357, 2001 https://doi.org/10.1006/jsvi.2000.3498
  14. Ye J., He Y., Chen X., et al., Pipe crack identification based on finite element method of second generation wavelets, Mechanical Systems and Signal Processing, 24, p.p.379-393, 2010 https://doi.org/10.1016/j.ymssp.2009.08.001