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Journal of Civil Structural Health Monitoring

, Volume 9, Issue 5, pp 597–605 | Cite as

Dynamic response measurement of steel plate structure utilising video camera method

  • Sakhiah Abdul KudusEmail author
  • Kunitomo Sugiura
  • Yasuo Suzuki
  • Masahide Matsumura
Original Paper
  • 35 Downloads

Abstract

Vibration measurement is a common method used to assess a structure’s condition. The basic premise for the detection of damage in a structure is based on vibration measurement, whereby changes of stiffness, vibration mode, and energy dissipation in the system can cause changes in the dynamic response. The vibration measurement is conducted by obtaining the fundamental period to judge the health condition of the monitored structure. This research used the high-speed camera (HSC) to capture the structure motion during the vibration of steel-plated structure. Laboratory experiments were performed on a thin steel plate (600 × 600 × 2.3 mm) and orthotropic steel deck. The HSC was used to measure the resonance frequency of the structure monitored.

Keywords

Vibration measurement High-speed camera Steel structure 

Notes

Acknowledgements

The authors would like to express their gratitude to NAC Image Technology for providing the high-speed camera.

References

  1. 1.
    Carden EP, Fanning P (2004) Vibration based condition monitoring: a review. Struct Health Monit 3(4):355–377CrossRefGoogle Scholar
  2. 2.
    Fan W, Qiao P (2011) Vibration-based damage identification methods: a review and comparative study. Struct Health Monit 10(1):83–111CrossRefGoogle Scholar
  3. 3.
    Kudus SA, Suzuki Y, Matsumura M, Sugiura K (2018) Damage assessment based on sensitivity of modal parameter in plated structure. Malays Constr Res J 24(1):65–82Google Scholar
  4. 4.
    Salawu OS (1997) Detection of structural damage through changes in frequency: a review. Eng Struct 19(9):718–723CrossRefGoogle Scholar
  5. 5.
    Farrar CR, Worden K (2007) An introduction to structural health monitoring. Philos Trans Royal Soc A 365(851):303–315CrossRefGoogle Scholar
  6. 6.
    Worden K, Farrar CR, Manson G, Park G (2007) The fundamental axioms of structural health monitoring. Proc Royal Soc A 463(2082):1639–1664CrossRefGoogle Scholar
  7. 7.
    Shull PJ (2002) Nondestructive evaluation: theory, techniques, and applications, vol 142. CRC, USCrossRefGoogle Scholar
  8. 8.
    Basri SR, Bunnori NM, Kudus SA, Shahiron S, Jamil MNM, Noorsuhada MN (2013) Applications of acoustic emission technique associated with the fracture process zone in concrete beam: a review. Adv Mater Res 626:147–151 (Trans Tech Publications) CrossRefGoogle Scholar
  9. 9.
    Bunnori N, Nor N, Jiun K, Kudus S (2016) Analysis of failure mechanisms in fatigue test of reinforced concrete beam utilizing acoustic emission. Int J Multiphysics 8(4)CrossRefGoogle Scholar
  10. 10.
    Doebling SW, Farrar CR, Prime MB, Shevitz DW (1996) Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: a literature review (No. LA-13070-MS). Los Alamos National Lab., NMCrossRefGoogle Scholar
  11. 11.
    Farrar CR, James GH III (1997) System identification from ambient vibration measurements on a bridge. J Sound Vib 205(1):1–18CrossRefGoogle Scholar
  12. 12.
    Kaito K, Abe M, Fujino Y (2005) Development of non-contact scanning vibration measurement system for real-scale structures. Struct Infrastruct Eng 1(3):189–205CrossRefGoogle Scholar
  13. 13.
    Nassif HH, Gindy M, Davis J (2005) Comparison of laser Doppler vibrometer with contact sensors for monitoring bridge deflection and vibration. NDT&E Int 38:213–218CrossRefGoogle Scholar
  14. 14.
    Yuanpeng Z, Huaning Z, Wenling Z, Hefei L (2002) Application of the fourier transform in electronic speckle photography. Exp Mech 42(1):18–24CrossRefGoogle Scholar
  15. 15.
    Valin JL, Gonçalves E, Palacios F, Pérez JR (2005) Methodology for analysis of displacement using digital holography. Opt Lasers Eng 43:99–111CrossRefGoogle Scholar
  16. 16.
    Baqersad J, Niezrecki C, Avitabile P (2015) Full-field dynamic strain prediction on a wind turbine using displacements of optical targets measured by stereophotogrammetry. Mech Syst Signal Process 62:284–295CrossRefGoogle Scholar
  17. 17.
    Helfrick MN, Niezrecki C, Avitabile P, Schmidt T (2011) 3D digital image correlation methods for full-field vibration measurement. Mech Syst Signal Process 25(3):917–927CrossRefGoogle Scholar
  18. 18.
    Nonis C, Niezrecki C, Yu TY, Ahmed S, Su CF, Schmidt T (2013) Structural health monitoring of bridges using digital image correlation. Health Monit Struct Biol Syst 2013 8695:869507 (International Society for Optics and Photonics) CrossRefGoogle Scholar
  19. 19.
    Sarrafi A, Mao Z, Niezrecki C, Poozesh P (2018) Vibration-based damage detection in wind turbine blades using phase-based motion estimation and motion magnification. J Sound Vib 421:300–318CrossRefGoogle Scholar
  20. 20.
    Bruck HA, McNeill SR, Sutton MA, Peters WH (1989) Digital image correlation using newton-raphson method of partial differential correction. Exp Mech 29(3):261–267CrossRefGoogle Scholar
  21. 21.
    Khoo SW, Karuppanan S, Tan CS (2016) A review of surface deformation and strain measurement using two-dimensional digital image correlation. Metrol Meas Syst 23(3):461–480CrossRefGoogle Scholar
  22. 22.
    Yaofeng S, Pang JH (2007) Study of optimal subset size in digital image correlation of speckle pattern images. Opt Lasers Eng 45(9):967–974CrossRefGoogle Scholar
  23. 23.
    Zhang Z (2000) A flexible new technique for camera calibration. IEEE Transactions on pattern analysis and machine intelligence, 22Google Scholar
  24. 24.
    Leissa AW (1969) Vibration of plates (NASA SP 160), Gov. Printing Office, WashingtonGoogle Scholar
  25. 25.
    Javh J, Slavič J, Boltežar M (2018) High frequency modal identification on noisy high-speed camera data. Mech Syst Signal Process 98:344–351CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Faculty of Civil EngineeringUniversiti Teknologi MARAShah AlamMalaysia
  2. 2.Department of Civil and Earth Resources Engineering, Graduate School of EngineeringKyoto UniversityKyotoJapan
  3. 3.Department of Civil Engineering, Faculty of Sustainable DesignUniversity of ToyamaToyamaJapan

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