Smart Structures and Systems

Techno-Press (테크노프레스)
권호 표지
DOI QR코드

DOI QR Code

Vibration based damage localization using MEMS on a suspension bridge model

  • Received : 2012.07.05
  • Accepted : 2013.07.16
  • Published : 2013.12.25
⟨ Previous Next ⟩

Abstract

In this paper the application of the Interpolation Damage Detection Method to the numerical model of a suspension bridge instrumented with a network of Micro-Electro-Mechanical System sensors is presented. The method, which, in its present formulation, belongs to Level II damage identification method, can identify the presence and the location of damage from responses recorded on the structure before and after a seismic damaging event. The application of the method does not require knowledge of the modal properties of the structure nor a numerical model of it. Emphasis is placed herein on the influence of recorded signals noise on the reliability of the results given by the Interpolation Damage Detection Method. The response of a suspension bridge to seismic excitation is computed from a numerical model and artificially corrupted with random noise characteristic of two families of Micro-Electro-Mechanical System accelerometers. The reliability of the results is checked for different damage scenarios.

Keywords

References

  1. Acar, C. and Shkel, A.M. (2003), "Experimental evaluation and comparative analysis of commercial variable-capacitance MEMS accelerometers", J. Micromech. Microeng., 13(5), 634-636. https://doi.org/10.1088/0960-1317/13/5/315
  2. Allemang, R.J. and Brown, D.L. (1982), "A correlation coefficient for modal vector analysis", Proceedings of the IMAC1, The International Modal Analysis Conference, Orlando Fl, November.
  3. Caicedo, J.M, Dike, S.J., Moon, S.J., Bergman, L., Turan, G. and Hague, S. (2003), "Phase II benchmark control problem for seismic response of cable stayed bridges", J. Struct. Control, 10(3-4), 137-168. https://doi.org/10.1002/stc.23
  4. Casciati, F., Domaneschi, M., Inaudi, D., Figini, A., Glisic, B. and Gupta, A. (2004), "Long-gauge fiber-optic sensors: a new approach to dynamic system identification", Proceedings of the 3rd European Conference on Structural Control, Vienna, Austria.
  5. Casciati, S., Domaneschi, M. and Inaudi, D. (2005a), "Local damage detection from dynamic SOFO experimental data", Proceedings of the SPIE - The International Society for Optical Engineering, 5765, 591-599, DOI: 10.1117/12.600440.
  6. Casciati, S., Domaneschi, M. and Inaudi, D. (2005b), "Damage assessment from SOFO dynamic measurements", Proceedings of the SPIE - The International Society for Optical Engineering, 5855, 1048-1051, DOI: 10.1117/12.623656.
  7. Chae, J., Kulah, H. and Najafi, K. (2004), "An in-plane high sensitivity, low noise micro-g silicon microaccelerometer with CMOS readout circuitry", J. Microelectromech. S., 13(4), 628-635. https://doi.org/10.1109/JMEMS.2004.832653
  8. Chu, A. (2012), Accelerometer selection based on applications, Endevco Technical Paper TP291 (http://www.smtnet.com/library/files/upload/TP291.pdf - last access July 3, 2012).
  9. Ciambella, J., Vestroni, F. and Vidoli, S. (2011), "Damage observability, localization and assessment based on eigenfrequencies and eigenvectors curvatures", Smart Struct Syst., 8(2), 191-204. https://doi.org/10.12989/sss.2011.8.2.191
  10. De Grandis, S., Domaneschi, M. and Perotti, F. (2009), "A numerical procedure for computing the fragility of NPP components under random seismic excitation", Nucl. Eng. Des., 239(11), 2491-2499. https://doi.org/10.1016/j.nucengdes.2009.06.027
  11. Dyke, S.J., Caicedo, J.M., Turan, G., Bergman, L.A. and Hague, S. (2003), "Phase I benchmark control problem for seismic response of cable-stayed bridges", J. Struct. Eng. - ASCE, 129(7), 857-872. https://doi.org/10.1061/(ASCE)0733-9445(2003)129:7(857)
  12. Doebling, S.W., Farrar, C.R., Prime, M.B. and Shevitz, D.W. (1996), Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: a literature review, Report LA-13070-MS, Los Alamos National Laboratory.
  13. Domaneschi, M. and Martinelli, L. (2013), "Optimal passive and semi-active control of a wind excited suspension bridge", Struct. Infrastruct. E., 9(3), 242-259. https://doi.org/10.1080/15732479.2010.542467
  14. Frangopol, D.M., Saydam, D. and Kim, S. (2011), "Maintenance, management, life-cycle design and performance of structures and infrastructures: a brief review", Struct. Infrastruct. E., 8(1), 1-25.
  15. Koh, B.H. and Dyke, S.J. (2007), "Structural health monitoring for flexible bridge structures using correlation and sensitivity of modal data", Comput. Struct., 85(3-4), 117-130. https://doi.org/10.1016/j.compstruc.2006.09.005
  16. Limongelli, M.P. (2010), "Frequency response function interpolation for damage detection under changing environment", Mech. Syst. Signal Pr., 24(8), 2898-2913. https://doi.org/10.1016/j.ymssp.2010.03.004
  17. Limongelli, M.P. (2011), "The interpolation damage detection method for frames under seismic excitation", J. Sound. Vib., 330(22), 5474-5489. https://doi.org/10.1016/j.jsv.2011.06.012
  18. Martinelli L. (2008), "Sull'utilizzo di accelerometri MEMS per il rilievo di vibrazioni negli edifici" (in Italian), Proceedings of the 3rd Workshop Problemi di vibrazioni nelle strutture civili e nelle costuzioni meccaniche, Perugia, September.
  19. Mohd-Yasin, F., Nagel, D.J. and Korman, C.E. (2010), "Noise in MEMS", Meas. Sci. Technol., 21(1), 1-22.
  20. Ntotsios, E., Papadimitriou, C., Panetsos, P., Karaiskos, G., Kyriakos P. and Perdikaris, P.C. (2009), "Bridge health monitoring system based on vibration mesurements", J. Earthq. Eng., 7(2), 469-493. https://doi.org/10.1007/s10518-008-9067-4
  21. Ohtori, Y., Christenson, R.E., Spencer Jr., B.F. and Dyke S.J. (2004), "Benchmark Control Problems for Seismically Excited Nonlinear Buildings", J. Eng. Mech. - ASCE, 130(4), 366-385. https://doi.org/10.1061/(ASCE)0733-9399(2004)130:4(366)
  22. Ratcliffe, C.P. (2000), "A frequency and curvature based experimental method for locating damage in structures", J. Vib. Acoust., 122(3), 324-329. https://doi.org/10.1115/1.1303121
  23. Sampaio, R.P.C., Maia, N.M.M. and Silva, J.M.M. (1999), "Damage detection using the frequency response function curvature method", J. Sound. Vib., 226(5), 1029-1042. https://doi.org/10.1006/jsvi.1999.2340
  24. Sohn, H., Farrar, C.R., Hemez, F.M., Shunk, D.D., Stinmates, D.W. and Nadler, B.R. (2003), A review of structural health monitoring literature: 1996-2001, Report LA-13976-MS, Los Alamos National Laboratory.
  25. Starossek, U. and Haberland, M. (2011), "Approaches to measures of structural robustness", Struct. Infrastruct. E., 7(7-8), 625-631. https://doi.org/10.1080/15732479.2010.501562

Cited by

  1. Existing concrete dams: loads definition and finite element models validation vol.3, pp.2, 2016, https://doi.org/10.12989/smm.2016.3.2.129
  2. New damage localization indicator based on curvature for single-span beams vol.51, pp.6, 2014, https://doi.org/10.12989/sem.2014.51.6.1037
  3. Tracking modal parameters of building structures from experimental studies and earthquake response measurements vol.16, pp.5, 2017, https://doi.org/10.1177/1475921717696339
  4. Reduced-order coupled bidirectional modeling of the Roll-N-Cage isolator with application to the updated bridge benchmark vol.226, pp.10, 2015, https://doi.org/10.1007/s00707-015-1394-3
  5. Structural Damage Localization by the Principal Eigenvector of Modal Flexibility Change vol.9, pp.4, 2016, https://doi.org/10.3390/a9020024
  6. Damage detection and localization on a benchmark cable-stayed bridge vol.8, pp.5, 2015, https://doi.org/10.12989/eas.2015.8.5.1113
  7. Wind-driven damage localization on a suspension bridge vol.11, pp.1, 2016, https://doi.org/10.3846/bjrbe.2016.02
  8. Highway Bridge Infrastructure in the Province of British Columbia (BC), Canada vol.2, pp.2, 2017, https://doi.org/10.3390/infrastructures2020007
  9. An improved hybrid optimization algorithm for vibration based-damage detection vol.93, 2016, https://doi.org/10.1016/j.advengsoft.2015.12.003
  10. Diagnosis of instant and long-term damages in cable-stayed bridges based on the variation of cable forces 2018, https://doi.org/10.1080/15732479.2017.1375962
  11. Structural Behavior of a Long-Span Partially Earth-Anchored Cable-Stayed Bridge during Installation of a Key Segment by Thermal Prestressing vol.6, pp.12, 2016, https://doi.org/10.3390/app6080231
  12. Fine Temperature Effect Analysis–Based Time-Varying Dynamic Properties Evaluation of Long-Span Suspension Bridges in Natural Environments vol.23, pp.10, 2018, https://doi.org/10.1061/(ASCE)BE.1943-5592.0001279
  13. Vibration Mitigation of Suspension Bridge Suspender Cables Using a Ring-Shaped Tuned Liquid Damper vol.24, pp.4, 2019, https://doi.org/10.1061/(ASCE)BE.1943-5592.0001372
  14. Damage detection on output-only monitoring of dynamic curvature in composite decks vol.4, pp.1, 2013, https://doi.org/10.12989/smm.2017.4.1.001
  15. Structural damage detection using a parked vehicle induced frequency variation vol.170, pp.None, 2013, https://doi.org/10.1016/j.engstruct.2018.05.082
  16. Non-stationary vibration and super-harmonic resonances of nonlinear viscoelastic nano-resonators vol.70, pp.5, 2013, https://doi.org/10.12989/sem.2019.70.5.623
  17. Determining Structural Resonance Frequency via Low-Cost Micro-Electromechanical Systems vol.43, pp.suppl1, 2013, https://doi.org/10.1007/s40996-018-0188-y
  18. Performance of Damage Identification Based on Directional Wavelet Transforms and Entopic Weights Using Experimental Shearographic Testing Results vol.21, pp.3, 2013, https://doi.org/10.3390/s21030714