Paper
11 April 2006 Active chaotic excitation for bolted joint monitoring
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Abstract
Recent research has shown that high frequency chaotic excitation and state space reconstruction may be used to identify incipient damage (loss of preload) in a bolted joint. In this study, a new experiment is undertaken with updated test equipment, including a piezostack actuator that allows for precise control of bolt preload. The excitation waveform is applied to a macro-fiber composite (MFC) patch that is bonded to the test structure and is sensed in an active manner using a second MFC patch. A novel prediction error algorithm, based on comparing filtered properties of the guided chaotic waves, is used to determine the damage state of a frame structure and is shown to be highly sensitive to small levels of bolt preload loss. The performance of the prediction error method is compared with standard structural health monitoring damage features that are based on time series analysis using auto-regressive (AR) models.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Timothy R. Fasel, Michael D. Todd, and Gyuhae Park "Active chaotic excitation for bolted joint monitoring", Proc. SPIE 6174, Smart Structures and Materials 2006: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, 61741S (11 April 2006); https://doi.org/10.1117/12.658819
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Cited by 6 scholarly publications.
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KEYWORDS
Autoregressive models

Error analysis

Microsoft Foundation Class Library

Waveguides

Structural health monitoring

Data modeling

Pattern recognition

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