Transactions of the Korean Society for Noise and Vibration Engineering (한국소음진동공학회논문집)

The Korean Society for Noise and Vibration Engineering (한국소음진동공학회)
권호 표지
DOI QR코드

DOI QR Code

Application of Lamb Waves and Probabilistic Neural Networks for Health Monitoring of Joint Steel Structures

강 구조물 접합부의 건전성 감시를 위한 램 웨이브와 확률 신경망의 적용

  • 박승희 (한국과학기술원 건설 및 환경공학과) ;
  • 이종재 (한국과학기술원 건설 및 환경공학과) ;
  • 윤정방 (한국과학기술원 건설 및 환경공학과) ;
  • 노용래 (경북대학교 기계공학과)
  • Published : 2005.01.01
Download PDF
⟨ Previous Next ⟩

Abstract

This study presents the NDE (non-destructive evaluation) technique for detecting the loosened bolts on joint steel structures on the basis of TOF (time of flight) and amplitudes of Lamb waves. Probabilistic neural network (PNN) technique which is an effective tool for pattern classification problem was applied to the damage estimation using PZT induced Lamb waves. Two kinds of damages were introduced by dominant damages (DD) which mean loosened bolts within the Lamb waves beam width and minor damages (MD) which mean loosened bolts out of the Lamb waves beam width. They were investigated for the establishment of the optimal decision boundaries which divide each damage class's region including the intact class. In this study, the applicability of the probabilistic neural networks was identified through the test results for the damage cases within and out of wave beam path. It has been found that the present methods are very efficient and reasonable in predicting the loosened bolts on the joint steel structures probabilistically.

Keywords

References

  1. Peter. C. and David, A., 1996. 'The use of Lamb Waves for the Long Range Inspection of Large Structures', Ultrasonics 34. pp. 287-290 https://doi.org/10.1016/0041-624X(96)00024-8
  2. Ghosh. T., Kundu, T. and Karpur, P., 1998. 'Efficient use of Lamb Modes for Detecting Defects in Large Plages', Ultrasonics 36, pp. 791-801 https://doi.org/10.1016/S0041-624X(98)00012-2
  3. Kritsakorn Luangvilai, Wonsiri Punurai and Laurence J. Jacobs, 2002, 'Guided Lamb Wave Propagation in Composite Plate/Concrete Component'. Journal of Engineering Mechanics. Vol. 128, No. 12. Dec. 1. pp. 1337-1341 https://doi.org/10.1061/(ASCE)0733-9399(2002)128:12(1337)
  4. Na. W. B., Kundu, T. and Ehsani, M. R., 2003. 'Lamb Waves for Detecting Delamination between Steel Bars and Concrete'. Computer-Aided Civil and Infrastructure Engineering, 18, pp. 58-63 https://doi.org/10.1111/1467-8667.t01-1-00299
  5. Zensheu Chang and Ajit Mal, 1999, 'Scattering of Lamb Waves from a Rivet Hole with Edge Cracks', Mechanics of Materials 31. pp. 197-204 https://doi.org/10.1016/S0167-6636(98)00060-X
  6. Roberto Osegueda and Vladik Kreinovich, 'Detecting and Locating Curved Cracks in Thin Plates by Lamb Wave Reflection: Validated Geometric Approach'
  7. Specht. D. F., 1990, 'Probabilistic Neural Networks', Neural Networks 3, pp. 109-118 https://doi.org/10.1016/0893-6080(90)90049-Q
  8. Schalkoff RJ., 1997, McGraw-Hill, Pattern Rrecognition: Statistical, Structural and Neural Approaches
  9. Riichi Murayama and Koichi Mizutani, 2002, 'Conventional Electromagnetic Acoustic Transducer Development for Optimum Lamb Wave Modes', Ultrasonics 40, pp. 491-495 https://doi.org/10.1016/S0041-624X(02)00164-6
  10. Parzen, E., 1962, 'On Estimation of a Probability Density Function and Mode', Annals of Mathematical Statistics, 33, pp. 1065-1076 https://doi.org/10.1214/aoms/1177704472

Cited by

  1. Damage Estimation Method for Monopile Support Structure of Offshore Wind Turbine vol.22, pp.7, 2012, https://doi.org/10.5050/KSNVE.2012.22.7.667
  2. A Development of Feature Extraction and Condition Diagnosis Algorithm for Lens Injection Molding Process vol.31, pp.11, 2014, https://doi.org/10.7736/KSPE.2014.31.11.1031