Paper
10 April 2008 Optimized guided wave excitations for health monitoring of a bolted joint
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Abstract
Recent research has shown that chaotic structural excitation and state space reconstruction may be used beneficially in structural health monitoring (SHM) processes. This relationship has been exploited for use in detection of bolt preload reduction by using a chaotic waveform with ultrasonic frequency content with a damage detection algorithm based on auto-regressive (AR) modeling. The signal is actively applied to a structure using a bonded macro fiber composite (MFC) patch. The response generated by the mechanical interaction of the MFC patch with the structure is then measured by other affixed MFC patches. In this study the suitability of particular chaotic waveforms will be investigated through the use of evolutionary algorithms. These algorithms are able to find an optimum excitation for maximum damage state discernability whose fitness is two orders of magnitude greater than choosing random parameters for signal creation.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Timothy R. Fasel, Colin C. Olson, and Michael D. Todd "Optimized guided wave excitations for health monitoring of a bolted joint", Proc. SPIE 6935, Health Monitoring of Structural and Biological Systems 2008, 69351N (10 April 2008); https://doi.org/10.1117/12.778527
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Cited by 10 scholarly publications.
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KEYWORDS
Autoregressive models

Microsoft Foundation Class Library

Modulation

Evolutionary algorithms

Structural health monitoring

Ultrasonics

Waveguides

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