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论文类型：期刊论文

发表时间：2017-02-01

发表刊物：STRUCTURAL CONTROL & HEALTH MONITORING

收录刊物：SCIE、EI

卷号：24

期号：2

ISSN号：1545-2255

关键字：damage localization; rank-revealing QR decomposition; damage sensitivity; truss structure; structural health monitoring

摘要：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.