Smart Structures and Systems

  • 제5권6호
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  • Pages.681-697
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  • 2009
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Optimized finite element model updating method for damage detection using limited sensor information

  • Cheng, L. (College of Civil Engineering, Shenzhen University, Shenzhen Durability Center for Civil Engineering) ;
  • Xie, H.C. (College of Civil Engineering, Shenzhen University, Shenzhen Durability Center for Civil Engineering) ;
  • Spencer, B.F. Jr. (Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign) ;
  • Giles, R.K. (Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign)
  • 투고 : 2008.05.25
  • 심사 : 2009.04.27
  • 발행 : 2009.11.25
⟨ 이전 논문 다음 논문 ⟩

초록

Limited, noisy data in vibration testing is a hindrance to the development of structural damage detection. This paper presents a method for optimizing sensor placement and performing damage detection using finite element model updating. Sensitivity analysis of the modal flexibility matrix determines the optimal sensor locations for collecting information on structural damage. The optimal sensor locations require the instrumentation of only a limited number of degrees of freedom. Using noisy modal data from only these limited sensor locations, a method based on model updating and changes in the flexibility matrix successfully determines the location and severity of the imposed damage in numerical simulations. In addition, a steel cantilever beam experiment performed in the laboratory that considered the effects of model error and noise tested the validity of the method. The results show that the proposed approach effectively and robustly detects structural damage using limited, optimal sensor information.

키워드

과제정보

연구 과제 주관 기관 : Natural Sciences Fund of China

참고문헌

  1. Berman, A. and Nagy, E.J. (1983), "Improvements of large analytical model using test data", AIAA J., 21, 1168-1173. https://doi.org/10.2514/3.60140
  2. Carne, T.G. and Dohrmann, C.R. (1995), "A modal test design strategy for model correlation", In: Bathel, ed. Proc 13th Int. Modal Analysis Conf, New York: Union College, Schenectady, 927-933.
  3. Cawley, P. and Adams, R.D. (1979), "The location of defects in structures from measurements of natural frequencies", J. Strain Anal., 14, 49-57. https://doi.org/10.1243/03093247V142049
  4. Doebling, S.W. (1998), "A summary review of vibration - based damage identification methods", Shock Vib., 30(2), 91-105. https://doi.org/10.1177/058310249803000201
  5. Duan, Z.D., Yan, G.R., Ou, J.P. and Spencer, Jr. B.F. (2005), "Damage localization in ambient vibration by constructing proportional flexibility matrix", J. Sound Vib., 284, 455-466. https://doi.org/10.1016/j.jsv.2004.06.046
  6. Fedorov, V.V. (1972), Theory of Optimal Experiments, New York: Academic, translated and edited by W.J. Studden and E. M. Klimko, 28.
  7. Friswell, M.I. and Mottershead, J.E. (1995), Finite element model updating in structural dynamics, Kluwer Academic Publishers, Dordrecht.
  8. Gao, W.C., Liu, W. and Zou, J.X. (2004), "Damage detection methods based on changes of vibration parameters: a summary review", J. Vib. Shock, 23(4), 1-17 (in Chinese).
  9. Gao, Y. and Spencer, Jr. B.F. (2002), "Damage localization under ambient vibration using changes in flexibility", J. Earthq. Eng., 1(1), 136-144.
  10. Hou, Z.R. and Lu, Z.S. (2003), "Particle swarm optimization with applications based on matlab", Comput. Simulat., 20(10), 68-70 (in Chinese).
  11. Kammer, D.C. (1991), "Sensor placement for on-orbit modal identification and correlation of large space structures", J. Guid. Control Dynam., 14(2), 251-259. https://doi.org/10.2514/3.20635
  12. Kennedy, J. and Eberhart, R.C. (1995), "Particle swarm optimization", Proc. of IEEE Conf. on Neural Networks, Piscataway, NJ, IV: 1942-1948.
  13. Law, S.S., Shi, Z.Y. and Zhang, L.M. (1998), "Structural damage detection from incomplete and noisy test data", J. Eng. Mech. ASCE, 124(11), 1280-1288. https://doi.org/10.1061/(ASCE)0733-9399(1998)124:11(1280)
  14. Link, M. (1999), "Updating of analytical models-review of numerical procedures and application aspects", Proc. of Structural Dynamics Forum, Los Alamos.
  15. Mottershead, J.E. and Friswell, M.I. (1993), "Model updating in structural dynamics: a survey", J. Sound Vib., 167, 347-375. https://doi.org/10.1006/jsvi.1993.1340
  16. Pandey, A.K. and Biswas, M. (1994), "Damage detection in structures using changes in flexibility", J. Sound Vib., 169(1), 3-17. https://doi.org/10.1006/jsvi.1994.1002
  17. Pandey, A.K. and Biswas, M. (1995), "Experimental verification of flexibility difference method for locating damage in structures", J. Sound Vib., 184(2), 311-328. https://doi.org/10.1006/jsvi.1995.0319
  18. Parsopoulos, K.E. and Vrahatis, M.N. (2002), Particle swarm optimization method for constrained optimization problems, Intelligent Technologies: from theory to applications, Amsterdam: IOS Press, 214-220.
  19. Qi, B.H., Wu, R.F., Xie, H.C. and Li, G.H. (2001), "A flexibility matrix method for damage identification of truss structure", Comput. Mech., 18(1), 42-47 (in Chinese).
  20. Salawu, O.S. (1997), "Detection of structural damage through changes in frequency: a review", Eng. Struct., 19, 718-723. https://doi.org/10.1016/S0141-0296(96)00149-6
  21. Shi, Y.H. and Eberhart, R.C. (1999), "Empirical study of particle swarm optimization", Proc. of Congress on Evolutionary Computation, Piscataway, NJ: IEEE Service Center, 1945-1949.
  22. Shi, Z.Y. (2002), "Structural damage detection from limited sensor information", J. Vib. Eng., 15(2), 203-206 (in Chinese).
  23. Stutz, L.T., Castello, D.A. and Rochinha, F.A. (2995), "A flexibility-based continuum damage identification approach", J. Sound Vib., 279, 641-667. https://doi.org/10.1016/j.jsv.2003.11.043
  24. Yan, A. and Golinval, J.C. (2005), "Structural damage localization by combining flexibility and stiffness methods", Eng. Struct., 27, 1752-1761. https://doi.org/10.1016/j.engstruct.2005.04.017
  25. Yin, T., Zhu, H.P. and Yu, L. (2007), "Noise analysis for sensitivity-based structural damage detection", Appl. Math. Mech-Engl., 28(6), 741-750. https://doi.org/10.1007/s10483-007-0604-3
  26. Zhang, D.W. and Wei, F.X. (1999), Model updating and damage detection, Beijing: Science Press, 1999 (in Chinese).
  27. Zhao, J. and DeWolf, J.T. (1999), "Sensitivity study for vibrational parameters used in damage detection", J. Struct. Eng., 125(4), 410-416. https://doi.org/10.1061/(ASCE)0733-9445(1999)125:4(410)

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