Journal
STRUCTURAL CONTROL & HEALTH MONITORING
Volume 24, Issue 2, Pages -Publisher
WILEY
DOI: 10.1002/stc.1849
Keywords
damage localization; rank-revealing QR decomposition; damage sensitivity; truss structure; structural health monitoring
Funding
- National Key Basic Research Program of China [2015CB060000, 2011CB013705]
- National Natural Science Foundation of China [51508070]
- China Postdoctoral Science Foundation [2014 M560208, 2015 T80252]
- Polish Ministry of Science and Technology [634/MOB/2011/0]
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The purpose of this work is the development of an efficient and high-sensitive damage localization technique for truss structures, based on the rank-revealing QR decomposition (RRQR) of the difference-of-flexibility matrix. The method is an enhancement of the existing techniques of damage detection, which rely on the set of so-called damage locating vector (DLV). The advantages of the RRQR decomposition-based DLV (RRQR-DLV) method are its less computational effort and high sensitivity to damage. Compared with the frequently used stochastic DLV (SDLV) method, RRQR-DLV offers higher sensitivity to damage, which has been validated based on the presented numerical simulation. The effectiveness of the proposed RRQR-DLV method is also illustrated with the experimental validation based on a laboratory-scale Bailey truss bridge model. The proposed method works under ambient excitation such as traffic excitation and wind excitation; therefore, it is promising for real-time damage monitoring of truss structures. Copyright (C) 2016 John Wiley & Sons, Ltd.
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