DOI QR코드

DOI QR Code

Structural damage and force identification under moving load

  • Zhu, Hongping (School of Civil Engineering and Mechanics, Huazhong University of Science and Technology) ;
  • Mao, Ling (School of Civil Engineering and Mechanics, Huazhong University of Science and Technology) ;
  • Weng, Shun (School of Civil Engineering and Mechanics, Huazhong University of Science and Technology) ;
  • Xia, Yong (Department of Civil & Structural Engineering, The Hong Kong Polytechnic Unversity)
  • 투고 : 2013.10.17
  • 심사 : 2014.05.17
  • 발행 : 2015.01.25

초록

Structural damage and moving load identification are the two aspects of structural system identification. However, they universally coexist in the damaged structures subject to unknown moving load. This paper proposed a dynamic response sensitivity-based model updating method to simultaneously identify the structural damage and moving force. The moving force which is equivalent as the nodal force of the structure can be expressed as a series of orthogonal polynomial. Based on the system Markov parameters by the state space method, the dynamic response and the dynamic response derivatives with respect to the force parameters and elemental variations are analytically derived. Afterwards, the damage and force parameters are obtained by minimizing the difference between measured and analytical response in the sensitivity-based updating procedure. A numerical example for a simply supported beam under the moving load is employed to verify the accuracy of the proposed method.

키워드

과제정보

연구 과제 주관 기관 : National Natural Science Foundation of China, Central Universities

참고문헌

  1. Brownjohn, J.M.W, Xia, P.Q., Hao, H. and Xia, Y (2001), "Civil structure condition assessment by FE model updating: methodology and case studies", Finite Elem. Anal. Des., 37(10), 761-775. https://doi.org/10.1016/S0168-874X(00)00071-8
  2. Gonzalez, A. and Hester, D. (2013), "An investigation into the acceleration response of a damaged beam-type structure to a moving force", J. Sound Vib., 332(13), 3201-3217. https://doi.org/10.1016/j.jsv.2013.01.024
  3. Hakim, S.J.S. and Razak, H.A. (2013), "Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANNs) for structural damage identification", Struct. Eng. Mech., 45(6), 779-802. https://doi.org/10.12989/sem.2013.45.6.779
  4. Hester, D. and Gonzalez, A. (2012), "A wavelet-based damage detection algorithm based on bridge acceleration response to a vehicle", Mech. Syst. Signal Pr., 28, 145-166. https://doi.org/10.1016/j.ymssp.2011.06.007
  5. Jiang, R.J., Au, F.T.K. and Cheung, Y.K. (2004), "Identification of vehicles moving on continuous bridges with rough surface", J. Sound Vib., 274(3-5), 1045-1063. https://doi.org/10.1016/S0022-460X(03)00664-3
  6. Law, S.S., Bu, J.Q., Zhu, X.Q. and Chan, S.L. (2007), "Moving load identification on a simply supported orthotropic plate", Int. J. Mech. Sci., 49(11), 1262-1275. https://doi.org/10.1016/j.ijmecsci.2007.03.005
  7. Li, J., Law, S.S. and Hao, H. (2013), "Improved damage identification in bridge structures subject to moving loads: Numerical and experimental studies", Int J. Mech. Sci., 74, 99-111. https://doi.org/10.1016/j.ijmecsci.2013.05.002
  8. Lu, Z.R. and Law, S.S. (2007). "Features of dynamic response sensitivity and its application in damage detection", J. Sound Vib., 303(1-2), 305-329. https://doi.org/10.1016/j.jsv.2007.01.021
  9. Lu, Z.R., Liu, J.K. (2011), "Identification of both structural damages in bridge deck and vehicular parameters using measured dynamic responses", Comput. Stroct., 89(13-14), 1397-1405. https://doi.org/10.1016/j.compstruc.2011.03.008
  10. Qin, Y.T. (2007), "Study on dynamic load identification application", Ph.D. Dissertation, Nanjing University of Aeronautics and Astronautics, Nanjing. (in Chinese)
  11. Rivlin, T.J. (1990), Chebyshev Polynomials: From Approximation Theory to Algebra and Number Theory, (2nd Edition), John Wiley&Sons, New York, NY, USA.
  12. Sieniawska, R., Sniady, P. and Zukowski, S. (2009), "Identification of the structure parameters applying a moving load", J. Sound Vib., 319(1-2), 355-365. https://doi.org/10.1016/j.jsv.2008.05.032
  13. Tang, H., Zhang, W., Xie, L. and Xue, S. (2013), "Multi-stage approach for structural damage identification using particle swarm optimization", Smart Stroct Syst., 11(1), 69-86. https://doi.org/10.12989/sss.2013.11.1.069
  14. Yu, L. and Chan, T.H.T. (2007), Recent research on identification of moving loads on bridges. J. Sound Vib., 305(1-2), 3-21. https://doi.org/10.1016/j.jsv.2007.03.057
  15. Zhan, J.W., Xia, H., Chen, S.Y. and De Roeck, G. (2011), "Structural damage identification for railway bridges based on train-induced bridge responses and sensitivity analysis", J. Sound Vib., 330(4), 757-770. https://doi.org/10.1016/j.jsv.2010.08.031
  16. Zhang, Q.X, Jankowski, L. and Duan, Z.D. (2010), "Simultaneous identification of moving masses and structural damage", Stroct. Multidisc. Optim., 42(6), 907-922. https://doi.org/10.1007/s00158-010-0528-4
  17. Zhu, H.P, Mao, L. and Weng, S. (2013), "Calculation of dynamic response sensitivities to substructural damage identification under moving load", Adv. Struct. Eng., 16(1), 1621-1631. https://doi.org/10.1260/1369-4332.16.9.1621
  18. Zhu, X.Q. and Law, S.S. (2006), "Moving load identification on multi-span continuous bridges with elastic bearings", Mech. Syst. Signal Pr., 20(7), 1759-1782. https://doi.org/10.1016/j.ymssp.2005.06.004
  19. Zhu, X.Q. and Law, S.S. (2007), "Damage detection in simply supported concrete bridge structure under moving vehicular loads", J. Vib. Acoust., 129(1), 58-65. https://doi.org/10.1115/1.2202150

피인용 문헌

  1. Moving load response on the stresses produced in an irregular microstretch substrate vol.60, pp.2, 2016, https://doi.org/10.12989/sem.2016.60.2.175
  2. Damage Identification in Bridges by Processing Dynamic Responses to Moving Loads: Features and Evaluation vol.19, pp.3, 2019, https://doi.org/10.3390/s19030463
  3. Identifying Distributed Dynamic Loading in One Spatial Dimension Based on Combing Wavelet Decomposition and Kalman Filter with Unknown Input vol.34, pp.4, 2021, https://doi.org/10.1061/(asce)as.1943-5525.0001265