Structural Damage Diagnosis Using Interstory Drift–Based Acceleration Feedback with Test Validation
Publication: Journal of Engineering Mechanics
Volume 139, Issue 9
Abstract
This study presents a numerical structural damage detection method using interstory drift–based structural acceleration measurements in the time domain. The coupling effect of the damage at different locations in the multiple-degree-of-freedom building system is eliminated by projecting the measured accelerations onto specific independent subspaces. The damage in a region will only affect the output of the designed monitor observing the substructure within the region. The severity of the damage is estimated numerically using a model-based prediction curve of stiffness change. Results obtained by the present numerical simulations for the illustrative examples are validated by experimental investigations using a 3-story aluminum frame structure and a 12-story concrete frame structure, and the numerical simulation results are compared with some representative experimental data with favorable correlations. Incorporation of the incomplete measurement, different structural materials, and different excitations into the method are studied and discussed.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
This study is sponsored by National Science Foundation Grant No. CMS 1014958, and the support of program director, Bruce M. Kramer, is gratefully acknowledged. Financial support from the China Scholarship Council for J. Shan’s work at the University of California, Santa Barbara, as a visiting scholar is highly appreciated.
References
Celebi, M., Sanli, A., Sinclair, M., Gallant, S., and Radulescu, D. (2004). “Real-time seismic monitoring needs of a building owner—And the solution: A cooperative effort.” Earthq. Spectra, 20(2), 333–346.
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.
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, Los Alamos National Laboratory, Los Alamos, NM.
Gao, Y., Spencer, B., Jr., and Bernal, D. (2007). “Experimental verification of the flexibility-based damage locating vector method.” J. Eng. Mech., 133(10), 1043–1049.
Ghanem, R., and Ferro, G. (2006). “Health monitoring for strongly non-linear systems using the ensemble Kalman filter.” Struct. Contr. Health Monit., 13(1), 245–259.
Hoshiya, M., and Saito, E. (1984). “Structural identification by extended Kalman filter.” J. Eng. Mech., 110(12), 1757–1770.
Jeen-Shang, L., and Yigong, Z. (1994). “Nonlinear structural identification using extended Kalman filter.” Comp. Struct., 52(4), 757–764.
Lin, C. H., and Yang, H. T. Y. (2009). “Structural health monitoring for frame structure with semi-rigid joints.” Proc., SPIE Smart Structures/NDE, Vol. 7292, SPIE, Bellingham, WA.
Liu, P. L. (1995). “Identification and damage detection of trusses using modal data.” J. Struct. Eng., 121(4), 599–608.
Ma, T. W., Yang, H. T., and Chang, C. C. (2005). “Structural damage diagnosis and assessment under seismic excitations.” J. Eng. Mech., 131(10), 1036–1045.
Pandey, A. K., Biswas, M., and Samman, M. M. (1991). “Damage detection from changes in curvature mode shapes.” J. Sound Vibrat., 145(2), 321–332.
Porter, K., Mitrani Reiser, J., and Beck, J. L. (2006). “Near real time loss estimation for instrumented buildings.” Struct. Des. Tall Spec. Build., 15(1), 3–20.
Salawu, O. S. (1997). “Detection of structural damage through changes in frequency: A review.” Eng. Struct., 19(9), 718–723.
Sebastijanovic, N., Yang, H. T. Y., and Ma, T. W. (2010). “Detection of changes in global structural stiffness coefficients using acceleration feedback.” J. Eng. Mech., 136(9), 1187–1191.
Skolnik, D. A., and Wallace, J. W. (2010). “Critical assessment of interstory drift measurements.” J. Struct. Eng., 136(12), 1574–1584.
Vanik, M., Beck, J., and Au, S. (2000). “Bayesian probabilistic approach to structural health monitoring.” J. Eng. Mech., 126(7), 738–745.
Wrobleski, M. S., and Yang, H. T. Y. (2003). “Identification of simplified models using adaptive control techniques.” J. Struct. Eng., 129(7), 989–997.
Yang, J., Wu, J., and Agrawal, A. (1995). “Sliding mode control for seismically excited linear structures.” J. Eng. Mech., 121(12), 1386–1390.
Yang, J. N., Lin, S., Huang, H., and Zhou, L. (2006). “An adaptive extended Kalman filter for structural damage identification.” Struct. Contr. Health Monit., 13(4), 849–867.
Yang, J. N., Pan, S., and Lin, S. (2007). “Least-squares estimation with unknown excitations for damage identification of structures.” J. Eng. Mech., 133(1), 12–21.
Information & Authors
Information
Published In
Journal of Engineering Mechanics
Volume 139 • Issue 9 • September 2013
Pages: 1185 - 1196
Copyright
© 2013 American Society of Civil Engineers.
History
Received: Feb 23, 2012
Accepted: Aug 12, 2012
Published online: Aug 23, 2012
Published in print: Sep 1, 2013
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.