Structural Engineering and Mechanics

  • 제53권2호
  • /
  • Pages.249-260
  • /
  • 2015
  • /
  • 1225-4568(pISSN)
  • /
  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Structural damage detection including the temperature difference based on response sensitivity analysis

  • Wei, J.J. (Department of Construction Engineering, Changzhou Institute of Engineering Technology) ;
  • Lv, Z.R. (Department of Applied Mechanics and Engineering, Sun Yat-sen University)
  • 투고 : 2013.10.30
  • 심사 : 2014.05.09
  • 발행 : 2015.01.25
⟨ 이전 논문 다음 논문 ⟩

초록

Damage detection based on a reference set of measured data usually has the problem of different environmental temperature in the two sets of measurements, and the effect of temperature difference is usually ignored in the subsequent model updating. This paper attempts to identify the structural damage including the temperature difference with artificial measurement noise. Both local damages and the temperature difference are identified in a gradient-based model updating method based on dynamic response sensitivity. The sensitivities of dynamic response with respect to the system parameters and temperature difference are calculated by direct integration method. The measured dynamic responses of the structure from two different states are used directly to identify the structural local damages and the temperature difference. A single degree-of-freedom mass-spring system and a planar truss structure are studied to illustrate the effectiveness of the proposed method.

키워드

과제정보

연구 과제 주관 기관 : National Natural Science Foundation of China

참고문헌

  1. Cattarius, J. and Inman, D.J. (1997), "Time domain analysis for damage detection in smart structures", Mech. Syst. Signal Pr., 11, 409-423. https://doi.org/10.1006/mssp.1996.0086
  2. 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
  3. Deobling, S.W., Farrar, C.R., Prime, M.B. and Shevitz, D.W. (1998), "A review of damage identification methods that examine changes in dynamic properties", Shock Vib. Dig., 30, 91-105. https://doi.org/10.1177/058310249803000201
  4. Doebling, S.W., Peterson, L.D. and Alvin, K.F. (1996), "Estimation of reciprocal residual flexibility from experimental modal data", Am. Inst. Aeronaut. Astronaut. J., 34, 1678-1685. https://doi.org/10.2514/3.13289
  5. Friswell, M.I. and Mottershead, J.E. (1995), Finite element model updating in structural dynamics, Kluwer Academic Publishers.
  6. Friswell, M.I. and Mottershead, J.E. (2001), "Inverse methods in structural health monitoring", DAMAS 2001: 4th International Conference on Damage Assessment of Structures, Cardiff, 201-210.
  7. Hadjileontiadis, L.J., Douka, E. and Trochidis, A. (2005), "Fractal dimension analysis for crack identification in beam structures", Mech. Syst. Signal Pr., 19, 659-674. https://doi.org/10.1016/j.ymssp.2004.03.005
  8. Hansen, P.C. (1992), "Analysis of discrete ill-posed problems by means of the L-curve", SIAM Rev., 34, 561-580. https://doi.org/10.1137/1034115
  9. He, Z.Y. and Lu, Z.R. (2010), "Time domain identification of multiple cracks in a beam", Struct. Eng. Mech., 42, 13-24.
  10. Housner, G.W. et al. (1997), "Structural control: Past, present, and future", J. Eng. Mech., ASCE, 123(9), 897-971. https://doi.org/10.1061/(ASCE)0733-9399(1997)123:9(897)
  11. Jaishi, B. and Ren, W.X. (2006), "Damage detection by finite element model updating using modal flexibility residual", J. Sound Vib., 290, 369-387. https://doi.org/10.1016/j.jsv.2005.04.006
  12. Koh, C.G., Hong, B. and Liaw, C.Y. (2000), "Parameter identification of large structural systems in time domain", J. Struct. Eng., ASCE, 126, 957-963. https://doi.org/10.1061/(ASCE)0733-9445(2000)126:8(957)
  13. Lu, Z.R. and Law, S.S. (2007), "Features of dynamic response sensitivity and its application in damage detection", J. Sound Vib., 303, 305-329. https://doi.org/10.1016/j.jsv.2007.01.021
  14. Lu, Z.R. and Liu, J.K. (2011), "Identification of both damages and parameters of vehicles for bridge-vehicle system from measured dynamic responses", Comput. Struct., 89, 1397-1405. https://doi.org/10.1016/j.compstruc.2011.03.008
  15. Lu, X.B., Liu, J.K. and Lu, Z.R. (2013), "A two-step approach for crack identification in beam", J. Sound Vib., 332(2), 282-293. https://doi.org/10.1016/j.jsv.2012.08.025
  16. Majumdar, A. et al. (2013), "Damage assessment of beams from changes in natural frequencies using ant colony optimization", Struct. Eng. Mech., 45, 391-410. https://doi.org/10.12989/sem.2013.45.3.391
  17. Majumder, L. and Manohar, C.S. (2003), "A time domain approach for damage detection in beam structures using vibration data with a moving oscillator as an excitation source", J. Sound Vib., 268, 699-716. https://doi.org/10.1016/S0022-460X(02)01555-9
  18. Pandey, A.K. and Biswas, M. (1994), "Damage detection in structures using change in flexibility" J. Sound Vib., 169, 3-17. https://doi.org/10.1006/jsvi.1994.1002
  19. Pandey, A.K., Biswas, M. and Samman, M.M. (1991), "Damage detection from change in curvature mode shapes", J. Sound Vib., 145, 321-332. https://doi.org/10.1016/0022-460X(91)90595-B
  20. Salawu, O.S. (1997), "Detection of structural damage through changes in frequency: A review", Eng. Struct., 19(9), 718-723. https://doi.org/10.1016/S0141-0296(96)00149-6
  21. Urgessa, G.S. (2011), "Vibration properties of beams using frequency-domain system identification methods", J. Vib. Control, 17(9), 1287-1294. https://doi.org/10.1177/1077546310378431
  22. Wang, B.S. and He, Z.C. (2007), "Crack detection of arch dam using statistical neural network based on the reductions of natural frequencies", J. Sound Vib., 302, 1037-1047. https://doi.org/10.1016/j.jsv.2007.01.008
  23. Wang, H. and Qiao, P. (2008), "On irregularity-based damage detection method for cracked beams", Int. J. Solid. Struct., 45, 688-704. https://doi.org/10.1016/j.ijsolstr.2007.08.017
  24. Wu, D. and Law, S.S. (2004), "Model error correction from truncated modal flexibility sensitivity and generic parameters. I: Simulation", Mech. Syst. Signal Pr., 18, 1381-1399. https://doi.org/10.1016/S0888-3270(03)00094-3
  25. Tikhonov, A.M. (1963), "On the solution of ill-posed problems and the method of regularization", Soviet Math., 4, 1035-1038.
  26. Yang, Q.W. (2011), "A new damage identification method based on structural flexibility disassembly". J. VibVib . Control, 17(7), 1000-1008. https://doi.org/10.1177/1077546309360052
  27. Zou, T., Tong, L. and Steve, G.P. (2000), "Vibration based model-dependent damage (delamination) identification and health monitoring for composite structures- a review", J. Sound Vib., 230(2), 357-378. https://doi.org/10.1006/jsvi.1999.2624

피인용 문헌

  1. Connection stiffness identification of historic timber buildings using Temperature-based sensitivity analysis vol.131, 2017, https://doi.org/10.1016/j.engstruct.2016.11.012
  2. Bilinear connection stiffness identification of heritage timber buildings with limited strain measurements vol.151, 2017, https://doi.org/10.1016/j.engstruct.2017.08.058
  3. Evolutionary-base finite element model updating and damage detection using modal testing results vol.70, pp.3, 2015, https://doi.org/10.12989/sem.2019.70.3.339
  4. Nonlinear Connection Stiffness Identification of Heritage Timber Buildings Using a Temperature-Driven Multi-Model Approach vol.20, pp.10, 2020, https://doi.org/10.1142/s0219455420420018