NDLI: Damage identification through the comparison with pseudo-baseline data at damaged state

Content Provider	Springer Nature Link
Author	Lee, Eun Taik Eun, Hee Chang
Copyright Year	2015
Abstract	Without baseline information prior to damage, the damage should be detected by only measured data. Most non-baseline damage detection methods can be sensitive to the external noise and have difficulty in detecting damage when the sensor is not close to it. The purpose of this study is to propose a non-baseline damage detection method using only a few measurements and being less sensitive to the noise. A set of pseudo-reference data to be established at measurement instant is compared with another set of measurement data on the structure with the additional damage at a known location. The damage is found at the location to represent the abrupt change of the difference in the two response data sets. Compared to the global-deviation method, this method has merits to reduce the noise effect and to be able to detect damage by a few sensors. The experimental work also investigates the sensitivity of accelerometer and strain gage in detecting damage. The proposed method is verified in a numerical application and an experiment.
Starting Page	247
Ending Page	254
Page Count	8
File Format	PDF
ISSN	01770667
Journal	Engineering with Computers
Volume Number	32
Issue Number	2
e-ISSN	14355663
Language	English
Publisher	Springer London
Publisher Date	2015-08-21
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Non-baseline data Damage detection FRF Proper orthogonal mode Measurement Sensor Computer-Aided Engineering (CAD, CAE) and Design Math. Applications in Chemistry Systems Theory, Control Calculus of Variations and Optimal Control; Optimization Mechanics ApplicationMathematics/Computational Methods of Engineering
Content Type	Text
Resource Type	Article
Subject	Engineering Computer Science Applications Modeling and Simulation Software

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