Structural Monitoring and Maintenance

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On the use of numerical models for validation of high frequency based damage detection methodologies

  • Aguirre, Diego A. (Department of Civil, Construction and Environmental Engineering, North Carolina State University) ;
  • Montejo, Luis A. (Department of Engineering Science and Materials, University of Puerto Rico at Mayaguez)
  • Received : 2014.10.24
  • Accepted : 2015.07.30
  • Published : 2015.12.25
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Abstract

This article identifies and addresses current limitations on the use of numerical models for validation and/or calibration of damage detection methodologies that are based on the analysis of the high frequency response of the structure to identify the occurrence of abrupt anomalies. Distributed-plasticity non-linear fiber-based models in combination with experimental data from a full-scale reinforced concrete column test are used to point out current modeling techniques limitations. It was found that the numerical model was capable of reproducing the global and local response of the structure at a wide range of inelastic demands, including the occurrences of rebar ruptures. However, when abrupt sudden damage occurs, like rebar fracture, a high frequency pulse is detected in the accelerations recorded in the structure that the numerical model is incapable of reproducing. Since the occurrence of such pulse is fundamental on the detection of damage, it is proposed to add this effect to the simulated response before it is used for validation purposes.

Keywords

Acknowledgement

Supported by : National Science Foundation

References

  1. Aguirre, D.A., Gaviria, C.A. and Montejo, L.A. (2013), "Wavelet based damage detection in reinforced concrete structures subjected to seismic excitations", J. Earthq. Eng., 17(8), 1103-1125. https://doi.org/10.1080/13632469.2013.804467
  2. Aguirre, D.A. and Montejo, L.A. (2014), "Damping and frequency changes induced by increasing levels of inelastic seismic demand", Smart Struct. Syst., (accepted for publication).
  3. Beskhyroun, S., Oshima, T. and Mikami, S. (2010), "Wavelet-based technique for structural damage detection", Struct. Control. Health. Monit., 17, 473-494.
  4. Bisht, S.S. and Singh, M.P. (2011), "Detecting sudden changes in stiffness using high-pass filters", Struct. Control Health Monit., 19(3), 319-331. https://doi.org/10.1002/stc.433
  5. Carrea, F. (2010), Shake table test on a full scale bridge reinforced concrete column, MS Thesis, University of Bologna, Italy.
  6. Cohen, A., Daubechies, I. and Feauveau, J.C. (1992), "Biorthogonal basis of compactly supported wavelets", Commun. Pure Appl. Math., 45, 485-560. https://doi.org/10.1002/cpa.3160450502
  7. Curadelli, R.O., Riera, J.D., Ambrosini, D. and Amani, M.G. (2008), "Damage detection by means of structural damping identification", Eng. Struct., 30(12), 3497-3504. https://doi.org/10.1016/j.engstruct.2008.05.024
  8. Grabowska, J., Palacz, M. and Krawczuka, M. (2008), "Damage identification by wavelet analysis", Mech. Syst. Sig. Pr., 22, 1623-1635. https://doi.org/10.1016/j.ymssp.2008.01.003
  9. 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)
  10. Hou, Z., Hera, A. and Shinde, A. (2006), "Wavelet-based structural health monitoring of earthquake excited structures", Comput-Aided Civ. Infrastruct. Eng., 21, 268-279. https://doi.org/10.1111/j.1467-8667.2006.00434.x
  11. Law, S.S., Li, X.Y., Zhu, X.Q. and Chan, S.L. (2005), "Structural damage detection from wavelet packet sensitivity", Eng. Struct. 27, 1339-1348. https://doi.org/10.1016/j.engstruct.2005.03.014
  12. Mander, J.B., Priestley, M.J.N. and Park, R. (1988), "Theoretical stress-strain model for confined concrete", J. Struct. Eng.- ASCE, 114(8), 1804-1826. https://doi.org/10.1061/(ASCE)0733-9445(1988)114:8(1804)
  13. Mallat, S.G. (1989), "Theory for multiresolution signal decomposition: the wavelet representation", IEEE T. Pattern Anal., 11(7), 674-693. https://doi.org/10.1109/34.192463
  14. McKenna, F., Fenves, G.L., Scott, M.H. and Jeremic, B. (2000), Open System for Earthquake Engineering Simulation - OpenSees, http://opensees.berkeley.edu. Accessed January 2014.
  15. Mohle, J. and Kunnath, S. (2006), "Reinforcing steel material", http://opensees.berkeley.edu. Accessed January 2014.
  16. Montejo, L.A. (2011), "Signal processing based damage detection in structures subjected to random excitations", Struct. Eng. Mech., 40(6), 745-762. https://doi.org/10.12989/sem.2011.40.6.745
  17. Montejo, L.A., Velazquez, L.R., Ramirez, R.I., Jiang, Z. and Christenson, R.E. (2012), "Frequency content effect on the efficiency of wavelet and Hilbert-Huang transforms for health monitoring", Proceedings of the 15th World Conference on Earthquake Engineering, Lisbon, Portugal, September 2012.
  18. Montejo, L.A. and Vidot, A.L. (2012), "Synchrosqueezed wavelet transform for frequency and damping identification from noisy signals", Smart Struct. Syst., 9(5), 441-459. https://doi.org/10.12989/sss.2012.9.5.441
  19. Ovanesova, A.V. and Suarez, L.E. (2004), "Applications of wavelet transforms to damage detection of frame structures", Eng. Struct., 26, 39-49. https://doi.org/10.1016/j.engstruct.2003.08.009
  20. Priestley, M.J.N., Calvi, G.M. and Kowalsky, M.J. (2007), Direct Displacement Based Seismic Design of Structures, IUSS Press, Pavia, Italy.
  21. Quinones, M.M., Montejo, L.A. and Jang, S. (2015), "Experimental and numerical evaluation of wavelet based damage detection methodologies", Int. J. Adv. Struct. Eng., 7, 69. https://doi.org/10.1007/s40091-015-0084-7
  22. Ren, W.X. and Sun, Z.S. (2008), "Structural damage identification by using wavelet entropy", Eng. Struct., 27, 2840-2849.
  23. Schoettler, M.J., Restrepo, J.I., Guerrini, G., Duck, D.E. and Carrea, F. (2012), A full-scale, single-column bridge bent tested by shake-table excitation, Center for Civil Engineering Earthquake Research, Department of Civil Engineering, University of Nevada.
  24. Sone, A., Yamamoto, S., Nakaoka, A. and Masuda, A. (1995), "Health monitoring system of structures based on orthonormal wavelet transform", Preceedings of the ASME Pressure Vessels and Piping Conference, Honolulu, Hawaii, July 1995.
  25. Todorovska, M.I. and Trifunac, M.D. (2010), "Earthquake damage detection in the imperial county services building II: analysis of novelties via wavelets", Struct. Control Health Monit., 17(8), 895-917. https://doi.org/10.1002/stc.350
  26. Velazquez, L.R. and Montejo, L.A. (2011), "Numerical evaluation of wavelet based damage detection methodologies applied to RC members", Proceedings of the 5th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-5), Cancun, Mexico. December 2011.
  27. Xu, Y.L. and Chen, J. (2004), "Structural damage detection using empirical mode decomposition: experimental investigation", J. Eng. Mech.- ASCE, 130(11), 1279-1288. https://doi.org/10.1061/(ASCE)0733-9399(2004)130:11(1279)
  28. 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)
  29. You, Q., Shi, Z. and Shen, L. (2012), "Damage detection in time-varying beam structures based on wavelet analysis", J. Vibro. Eng., 14(1), 292-304.