[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.12989/sss.2013.12.6.679

Vibration based damage localization using MEMS on a suspension bridge model

Domaneschi, Marco (DICA)
Limongelli, Maria Pina (ABC)
Martinelli, Luca (DICA)

Publication Information

Smart Structures and Systems / v.12, no.6, 2013 , pp. 679-694 More about this Journal

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

damage localization; IDDM; MEMS; noise; suspension bridge; earthquake;

Citations & Related Records

Times Cited By KSCI : 1 (Citation Analysis)

Reference
Cited By KSCI

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. DOI ScienceOn
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. DOI ScienceOn
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. DOI
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. DOI
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. DOI ScienceOn
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. DOI ScienceOn
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. DOI ScienceOn
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. DOI ScienceOn
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. DOI ScienceOn
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. DOI ScienceOn
16	Limongelli, M.P. (2010), "Frequency response function interpolation for damage detection under changing environment", Mech. Syst. Signal Pr., 24(8), 2898-2913. DOI ScienceOn
17	Limongelli, M.P. (2011), "The interpolation damage detection method for frames under seismic excitation", J. Sound. Vib., 330(22), 5474-5489. DOI ScienceOn
18	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. DOI
19	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.
20	Mohd-Yasin, F., Nagel, D.J. and Korman, C.E. (2010), "Noise in MEMS", Meas. Sci. Technol., 21(1), 1-22.
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. DOI ScienceOn
22	Ratcliffe, C.P. (2000), "A frequency and curvature based experimental method for locating damage in structures", J. Vib. Acoust., 122(3), 324-329. DOI ScienceOn
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. DOI ScienceOn
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. DOI ScienceOn

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