Smart Structures and Systems

  • 제19권4호
  • /
  • Pages.393-402
  • /
  • 2017
  • /
  • 1738-1584(pISSN)
  • /
  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Damage detection for beam structures based on local flexibility method and macro-strain measurement

  • Hsu, Ting Yu (Department of Civil and Construction Engineering, National Taiwan University of Science and Technology) ;
  • Liao, Wen I (Department of Civil and Environment Engineering, National Taipei University of Technology) ;
  • Hsiao, Shen Yau (National Center for Research on Earthquake Engineering)
  • 투고 : 2016.05.03
  • 심사 : 2017.03.07
  • 발행 : 2017.04.25
⟨ 이전 논문 다음 논문 ⟩

초록

Many vibration-based global damage detection methods attempt to extract modal parameters from vibration signals as the main structural features to detect damage. The local flexibility method is one promising method that requires only the first few fundamental modes to detect not only the location but also the extent of damage. Generally, the mode shapes in the lateral degree of freedom are extracted from lateral vibration signals and then used to detect damage for a beam structure. In this study, a new approach which employs the mode shapes in the rotary degree of freedom obtained from the macro-strain vibration signals to detect damage of a beam structure is proposed. In order to facilitate the application of mode shapes in the rotary degree of freedom for beam structures, the local flexibility method is modified and utilized. The proposed rotary approach is verified by numerical and experimental studies of simply supported beams. The results illustrate potential feasibility of the proposed new idea. Compared to the method that uses lateral measurements, the proposed rotary approach seems more robust to noise in the numerical cases considered. The sensor configuration could also be more flexible and customized for a beam structure. Primarily, the proposed approach seems more sensitive to damage when the damage is close to the supports of simply supported beams.

키워드

과제정보

연구 과제 주관 기관 : National Science Council of the Republic of China

참고문헌

  1. Abdo, M.A.B. and Hori, M. (2002), "A numerical study of structural damage detection using changes in the rotation of mode shapes", J. Sound Vib., 251(2), 227-239. https://doi.org/10.1006/jsvi.2001.3989
  2. Ansari, F. (2005), "Fiber optic health monitoring of civil structures using long gage and acoustic sensors", Smart Mater. Struct., 14(3), S1. https://doi.org/10.1088/0964-1726/14/3/001
  3. Bernal, D. (2002), "Load vectors for damage localization", J. Eng. Mech., 128(1), 7-14. https://doi.org/10.1061/(ASCE)0733-9399(2002)128:1(7)
  4. Cardini, A.J. and DeWolf, J.T. (2009), "Long-term structural health monitoring of a multigirder steel composite bridge using strain data", Struct. Hlth. Monit., 8(1), 47-58. https://doi.org/10.1177/1475921708094789
  5. Fan, N.Y., Huang, S. and Measures, R.M. (1998), "Localized long gage fiber optic strain sensors", Smart Mater. Struct., 7(2), 257. https://doi.org/10.1088/0964-1726/7/2/013
  6. Johnson, E., Lam, H., Katafygiotis, L. and Beck, J. (2004), "Phase I IASC-ASCE structural health monitoring benchmark problem using simulated data", J. Eng. Mech., 130(1), 3-15. https://doi.org/10.1061/(ASCE)0733-9399(2004)130:1(3)
  7. Li, S.Z. and Wu, Z.S. (2007), "Development of distributed long gage fiber optic sensing system for structural health monitoring", Struct. Hlth. Monit., 6(6), 133-143. https://doi.org/10.1177/1475921706072078
  8. Li, S.Z. and Wu, Z.S. (2010), "Parametric estimation for RC flexural members based on distributed long- gauge fiber optic sensors", J. Struct. Eng., 136(2), 144-151. https://doi.org/10.1061/(ASCE)0733-9445(2010)136:2(144)
  9. Matthys, S. and Taerwe, L. (2005), "Experimental testing of posttensioned concrete girders instrumented with optical fiber gratings", Proceeding of the SPIE-17th International Conference on Optical Fiber Sensors, SPIE, Bellingham, Wash., 1060-1063.
  10. Ni, Y., Xia, H., Wong, K. and Ko, J. (2012), "In-service condition assessment of bridge deck using long-term monitoring data of strain response", J. Bridge Eng., 17(6), 876-885. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000321
  11. Reynders, E. and De Roeck, G. (2010), "A local flexibility method for vibration-based damage localization and quantification", J. Sound Vib., 329(12), 2367-2383. https://doi.org/10.1016/j.jsv.2009.04.026
  12. Toksoy, T. and Aktan, A.E. (1994), "Bridge-condition assessment by modal flexibility", Exp. Mech., 34(3), 271-278. https://doi.org/10.1007/BF02319765
  13. Van Overschee, P. and De Moor, B. (1996), Subspace Identification for Linear Systems: Theory - Implementation - Applications, Kluwer Academic Publishers: Dordrecht, The Netherlands.
  14. Yung, B.L., Chang, K.C., Chern, J.C. and Wang, L.A. (2004), "The health monitoring of a prestressed concrete beam by using fiber Bragg grating sensors", Smart Mater. Struct., 13(4), 712-718. https://doi.org/10.1088/0964-1726/13/4/008
  15. Wan, L.B., Wu, Z.J., Zhang, B.M., Wang, D.F., Zhao, X. and Zhou, Z. (2002). "Determination of internal strain of concrete beam using fiber Bragg grating sensors", J. Optoelectron. Laser, 13(7), 722-725.
  16. Wang, M.L. and Yim, J. (2010), "Sensor enriched infrastructure system", Smart Struct. Syst., 6(3), 309-333. https://doi.org/10.12989/sss.2010.6.3.309
  17. Wang, L., Han, J. and Song, Y. (2014), "Fatigue performance monitoring of full-scale PPC beams by using the FBG sensors", Smart Struct. Syst., 13(6), 943-957. https://doi.org/10.12989/sss.2014.13.6.943

피인용 문헌

  1. Damage detection of rotating wind turbine blades using local flexibility method and long-gauge fiber Bragg grating sensors vol.29, pp.1, 2018, https://doi.org/10.1088/1361-6501/aa97f0