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An Y.♦, Błachowski B., Zhong Y.♦, Hołobut P., Ou J.♦, Rank-revealing QR decomposition applied to damage localization in truss structures,
STRUCTURAL CONTROL AND HEALTH MONITORING, ISSN: 1545-2255, DOI: 10.1002/stc.1849, Vol.24, No.2, pp.e1849-1-15, 2017 Abstract:
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. Keywords:
damage localization, rank-revealing QR decomposition, damage sensitivity, truss structure, structural health monitoring Affiliations:
| An Y. | - | Dalian University of Technology (CN) | | Błachowski B. | - | IPPT PAN | | Zhong Y. | - | Dalian University of Technology (CN) | | Hołobut P. | - | IPPT PAN | | Ou J. | - | Dalian University of Technology (CN) |
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