DOI QR코드

DOI QR Code

A new damage index for detecting sudden change of structural stiffness

  • Chen, B. (Dept. of Civil and Structural Engineering, The Hong Kong Polytechnic University) ;
  • Xu, Y.L. (Dept. of Civil and Structural Engineering, The Hong Kong Polytechnic University)
  • 투고 : 2006.03.30
  • 심사 : 2006.11.20
  • 발행 : 2007.06.20

초록

A sudden change of stiffness in a structure, associated with the events such as weld fracture and brace breakage, will cause a discontinuity in acceleration response time histories recorded in the vicinity of damage location at damage time instant. A new damage index is proposed and implemented in this paper to detect the damage time instant, location, and severity of a structure due to a sudden change of structural stiffness. The proposed damage index is suitable for online structural health monitoring applications. It can also be used in conjunction with the empirical mode decomposition (EMD) for damage detection without using the intermittency check. Numerical simulation using a five-story shear building under different types of excitation is executed to assess the effectiveness and reliability of the proposed damage index and damage detection approach for the building at different damage levels. The sensitivity of the damage index to the intensity and frequency range of measurement noise is also examined. The results from this study demonstrate that the damage index and damage detection approach proposed can accurately identify the damage time instant and location in the building due to a sudden loss of stiffness if measurement noise is below a certain level. The relation between the damage severity and the proposed damage index is linear. The wavelet-transform (WT) and the EMD with intermittency check are also applied to the same building for the comparison of detection efficiency between the proposed approach, the WT and the EMD.

키워드

참고문헌

  1. Hera, A. and Hou, Z. (2004), 'Application of wavelet approach for ASCE structural health monitoring benchmark studies', J. Eng. Mech., ASCE, 130(1), 96-104 https://doi.org/10.1061/(ASCE)0733-9399(2004)130:1(96)
  2. Hou, Z. and Noori, M. (1999), 'Application of wavelet analysis for structural health monitoring', Proc. of 2nd Int. Workshop on Structural Health Monitoring, Stanford Univ., Stanford, CA, 946-955
  3. Hou, Z., Noori, M. and Amand, R.S. (2000), 'Wavelet-based approach for structural damage detection', J. Eng. Mech., ASCE, 126(7), 677-683 https://doi.org/10.1061/(ASCE)0733-9399(2000)126:7(677)
  4. Huang, N.E., Shen, Z. and Long, S.R. (1999), 'A new view of nonlinear water wave: the Hilbert spectrum', Annual Review Fluid Mech., 31, 417-457 https://doi.org/10.1146/annurev.fluid.31.1.417
  5. Huang, N.E., Shen, Z., Long, S.R., Wu, M.C. and Shih, H.H. (1998), 'The empirical mode decomposition and Hilbert spectrum for nonlinear and nonstationary time series analysis', Proc. of the Royal Society of London Series A, 454, 903-99
  6. Johnson, E.A., Lam, H.F., Katafygiotis, L.S. and Beck, J.L. (2000), 'A benchmark problem for structural health monitoring and damage detection', Proc. of 14th Engineering Mechanics Conf. (CD Rom), ASCE, Reston, VA
  7. Maity, D. and Tripathy, R.R. (2005), 'Damage assessment of structures from changes in natural frequencies using genetic algorithm', Struct. Eng. Mech., 19(1), 21-42 https://doi.org/10.12989/sem.2005.19.1.021
  8. Sohn, H., Farrar, C.R., Hemez, F.M., Shunk, D.O., Stinemates, D.W. and Nadler, B.R. (2003), 'A review of structural health monitoring literature: 1996-2001', Los Alamos National Laboratory Report, LA-13976-MS
  9. Sohn, H., Robertson, A.N. and Farrar, C.R. (2004), 'Holder exponent analysis for discontinuity detection', Struct. Eng. Mech., 17(3-4),409-428 https://doi.org/10.12989/sem.2004.17.3_4.409
  10. Vincent, B., Hu, J. and Hou, Z. (1999), 'Damage detection using empirical mode decomposition and a comparison with wavelet analysis', Proc. of 2nd Int. Workshop on Structural Health Monitoring, Stanford Univ., Stanford, CA, 891-900
  11. Xu, Y.L. and Chen, J. (2004), 'Structural damage detection using empirical mode decomposition: Experimental investigation', J. Struct. Eng., ASCE, 130(11), 1279-1288
  12. Yang, J.N., Lei, Y. and Huang, N.E. (2001), 'Damage identification of civil engineering structures using Hilbert-Huang transform', Proc. of 3rd Int. Workshop on Structural Health Monitoring, Stanford, CA, 544-553
  13. Yang, J.N., Lei, Y., Lin, S. and Huang, N. (2004), 'Hilbert-Huang based approach for structural damage detection', J. Eng. Mech., ASCE, 130(1), 85-95 https://doi.org/10.1061/(ASCE)0733-9399(2004)130:1(85)

피인용 문헌

  1. Wavelet-based detection of abrupt changes in natural frequencies of time-variant systems vol.64-65, 2015, https://doi.org/10.1016/j.ymssp.2015.03.012
  2. Detection on Structural Sudden Damage Using Continuous Wavelet Transform and Lipschitz Exponent vol.2015, 2015, https://doi.org/10.1155/2015/832738
  3. A Computationally Efficient Algorithm for Real-Time Tracking the Abrupt Stiffness Degradations of Structural Elements vol.31, pp.6, 2016, https://doi.org/10.1111/mice.12217
  4. Elasto-Plastic Seismic Response of RC Continuous Bridge with Foundation-Pier Dynamic Interaction vol.18, pp.6, 2015, https://doi.org/10.1260/1369-4332.18.6.817
  5. Application of Hilbert-Huang Transform in Structural Health Monitoring: A State-of-the-Art Review vol.2014, 2014, https://doi.org/10.1155/2014/317954
  6. Damage detection of long-span bridges using stress influence lines incorporated control charts vol.57, pp.9, 2014, https://doi.org/10.1007/s11431-014-5623-0
  7. Characteristic analysis on train-induced vibration responses of rigid-frame RC viaducts vol.55, pp.5, 2015, https://doi.org/10.12989/sem.2015.55.5.1015
  8. Response control of a large transmission tower-line system under seismic excitations using friction dampers vol.20, pp.8, 2017, https://doi.org/10.1177/1369433216679999
  9. APPLICATION OF EMPIRICAL MODE DECOMPOSITION IN STRUCTURAL HEALTH MONITORING: SOME EXPERIENCE vol.01, pp.04, 2009, https://doi.org/10.1142/S1793536909000321
  10. Locate Damage in Long-Span Bridges Based on Stress Influence Lines and Information Fusion Technique vol.17, pp.8, 2014, https://doi.org/10.1260/1369-4332.17.8.1089
  11. Dynamic Responses and Vibration Control of the Transmission Tower-Line System: A State-of-the-Art Review vol.2014, 2014, https://doi.org/10.1155/2014/538457
  12. Condition Assessment on Thermal Effects of a Suspension Bridge Based on SHM Oriented Model and Data vol.2013, 2013, https://doi.org/10.1155/2013/256816
  13. Damage Detection on Sudden Stiffness Reduction Based on Discrete Wavelet Transform vol.2014, 2014, https://doi.org/10.1155/2014/807620
  14. A Comparative Study on Frequency Sensitivity of a Transmission Tower vol.2015, 2015, https://doi.org/10.1155/2015/610416
  15. Damage Detection of Steel Domes Subjected to Earthquakes by Using Wavelet Transform vol.150-151, pp.1662-8985, 2010, https://doi.org/10.4028/www.scientific.net/AMR.150-151.1580
  16. Performance Assessment on the Plastic Mortar Culvert Reinforced by Glass Fiber vol.256-259, pp.1662-7482, 2012, https://doi.org/10.4028/www.scientific.net/AMM.256-259.565
  17. Structural Safety Alarming Based on Signal Energy by Using Wavelet Packet Transform vol.166-169, pp.1662-7482, 2012, https://doi.org/10.4028/www.scientific.net/AMM.166-169.1097
  18. Performance Degradation Assessment of a Beam Structure by Using Wavelet Packet Energy vol.166-169, pp.1662-7482, 2012, https://doi.org/10.4028/www.scientific.net/AMM.166-169.1102
  19. Performance Evaluation of a Transmission Tower Subjected to Base Settlement vol.744-746, pp.1662-7482, 2015, https://doi.org/10.4028/www.scientific.net/AMM.744-746.361
  20. Assessment on Thermal Displacement of a Cable-Stayed Footbridge vol.744-746, pp.1662-7482, 2015, https://doi.org/10.4028/www.scientific.net/AMM.744-746.749
  21. Performance evaluation of a reticulated shell with atmospheric corrosion damage pp.2048-4011, 2019, https://doi.org/10.1177/1369433218786546
  22. Global Seismic Damage Model of RC Structures Based on Structural Modal Properties vol.144, pp.10, 2018, https://doi.org/10.1061/(ASCE)ST.1943-541X.0002160
  23. A new statistical moment-based structural damage detection method vol.30, pp.4, 2007, https://doi.org/10.12989/sem.2008.30.4.445
  24. A novel PSO-based algorithm for structural damage detection using Bayesian multi-sample objective function vol.63, pp.6, 2017, https://doi.org/10.12989/sem.2017.63.6.825
  25. Damage detection in plate structures using frequency response function and 2D-PCA vol.20, pp.4, 2007, https://doi.org/10.12989/sss.2017.20.4.427
  26. A systematic method from influence line identification to damage detection: Application to RC bridges vol.20, pp.5, 2017, https://doi.org/10.12989/cac.2017.20.5.563
  27. Seismic response of RC frames under far-field mainshock and near-fault aftershock sequences vol.72, pp.3, 2019, https://doi.org/10.12989/sem.2019.72.3.395