Wave Method for Structural Health Monitoring: Testing Using Full-Scale Shake Table Experiment Data
Publication: Journal of Structural Engineering
Volume 143, Issue 4
Abstract
An algorithm of the wave method for structural health monitoring (SHM) is tested and calibrated using shake table experiment data of a full-scale, seven-story, reinforced-concrete building slice. The method is based on monitoring changes in the velocity of waves propagating vertically through the structure, identified by least-squares (LSQ) fit of beam models. The experiment was conducted by a team from the University of California, San Diego (UCSD) on the Network for Earthquake Engineering Simulations (NEES) outdoor shake table. Ambient noise, white noise, and earthquake response data for four progressive damage states were analyzed. The algorithm is tested for the first time on highly dispersive wave propagation, on a damaged structure, and on much shorter segments of ambient vibration data than used previously. The structure is modeled as a Timoshenko beam with large shear stiffness, and its compressional wave velocity, , is identified. The change in is measured for the different damage states and is compared with the change of the fundamental frequency of vibration, . The effectiveness of the method is discussed.
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Acknowledgments
The data were obtained from the NEES web site (Panagiouto et al. 2013). The authors are most grateful to Prof. Jose Restrepo from the University of California, San Diego (UCSD) for making the data available and for his valuable comments on our manuscript, to Prof. Babak Moaveni from Tufts University for his generous help in extracting the data and providing additional references, and to Prof. Joel Conte of UCSD, who also provided additional references. We are also grateful to the two anonymous reviewers, whose comments lead to improvements of this paper.
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Published In
Journal of Structural Engineering
Volume 143 • Issue 4 • April 2017
Copyright
©2016 American Society of Civil Engineers.
History
Received: Aug 31, 2015
Accepted: Oct 3, 2016
Published online: Nov 21, 2016
Published in print: Apr 1, 2017
Discussion open until: Apr 21, 2017
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