Multimetric Sensing for Structural Damage Detection
Publication: Journal of Engineering Mechanics
Volume 137, Issue 1
Abstract
Vibration-based damage detection methods have been widely studied for structural health monitoring of civil infrastructure. Acceleration measurements are frequently employed to extract the dynamic characteristics of the structure and locate damage because they can be obtained conveniently and possess relatively little noise. However, considering the fact that damage is a local phenomenon, the sole use of acceleration measurements that are intrinsically global structural responses limits damage detection capabilities. This paper investigates the possibility of using both global and local measurements to improve the accuracy and robustness of damage detection methods. A multimetric approach based on the damage locating vector method is proposed. Numerical simulations are conducted to verify the efficacy of the proposed approach.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
The writers gratefully acknowledge the support of this research by the National Science Foundation under Grant No. NSFCMS 0600433 (Dr. S. C. Liu, program manager).
References
Bernal, D. (2002). “Load vectors for damage localization.” J. Eng. Mech., 128(1), 7–14.
Bernal, D. (2006). “Flexibility-based damage localization from stochastic realization results.” J. Eng. Mech., 132(6), 651–658.
Bernal, D., and Gunes, B. (2004). “Flexibility based approach for damage characterization: Benchmark application.” J. Eng. Mech., 130(1), 61–70.
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 Rep. No. LA-13070-MS, Los Alamos National Laboratory, Los Alamos, N.M.
Gangone, M. V., Whelan, M. J., Janoyan, K. D., Cross, K., and Jha, R. (2007). “Performance monitoring of a bridge superstructure using a dense wireless sensor network.” Proc., 6th Int. Workshop on Structural Health Monitoring, Stanford Univ., Stanford, Calif.
Gao, Y., and Spencer, B. F., Jr. (2008). “Structural health monitoring strategies for smart sensor networks.” Newmark Structural Laboratory Rep. Series, University of Illinois at Urbana-Champaign, Urbana, Ill., ⟨http://hdl.handle.net/2142/8802⟩.
Gao, Y., Spencer, B. F., Jr., and Bernal, D. (2004). “Experimental verification of the damage locating vector method.” Proc., 1st Int. Workshop on Advanced Smart Materials and Smart Structures Technology, DEStech, Lancaster, Pa.
Gao, Y., Spencer, B. F., Jr., and Ruiz-Sandoval, M. (2005). “Distributed computing strategy for structural health monitoring.” Struct. Control Health Monit., 43(1), 488–507.
Kijewski-Correa, T., Su, S., Abittan, E., and Antsaklis, P. J. (2006). “On the use of heterogeneous, wireless sensor networks for damage assessment in bridges under unknown excitations.” Proc., 4th World Conf. on Structural Control and Monitoring, International Association for Structural Control and Monitoring, Los Angeles.
Law, S. S., Li, X. Y., Zhu, X. Q., and Chan, S. L. (2005). “Structural damage detection from wavelet packet sensitivity.” Eng. Struct., 27(9), 1339–1348.
Mugambi, E. M., Kwan, K., Laskowski, B. C., Ooi, T. K., and Corder, A. (2007). “MEMS-based strain and corrosion sensors for structural health monitoring.” Proc., 6th Int. Workshop on Structural Health Monitoring, Stanford Univ., Stanford, Calif.
Nagayama, T., and Spencer, B. F., Jr. (2008). “Structural health monitoring using smart sensors.” Newmark Structural Engineering Laboratory Rep. Series, University of Illinois at Urbana-Champaign, Urbana, Ill., ⟨http://hdl.handle.net/2142/3521⟩.
Penrose, R. (1955). “A generalized inverse for matrices.” Proc. Cambridge Philos. Soc., 51, 406–413.
Sohn, H., and Farrar, C. R. (2001). “Damage diagnosis using time series analysis of vibration signals.” Smart Mater. Struct., 10, 446–451.
Sohn, H., Farrar, C. R., Hemez, F. M., Shunk, D. D., Stinemates, D. W., and Nadler, B. R. (2003). “A review of structural health monitoring literature: 1996-2001.” Los Alamos National Laboratory Rep. No. LA-13976-MS, Los Alamos National Laboratory, Los Alamos, N.M.
Spencer, B. F., Jr., and Nagayama, T. (2006). “Smart sensor technology: A new paradigm for structural health monitoring.” Proc., Asia-Pacific Workshop on Structural Health Monitoring, APWSHM, Yokohama, Japan.
Studer, M., and Peters, K. (2004). “Multi-scale sensing for damage identification.” Smart Mater. Struct., 13, 283–294.
Information & Authors
Information
Published In
Copyright
© 2011 ASCE.
History
Received: Mar 30, 2009
Accepted: Jun 17, 2010
Published online: Jun 22, 2010
Published in print: Jan 2011
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.