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Proceedings Paper

Active sensing waveform design for estimating progressive fatigue damage in structures
Author(s): Daniel Huff; Narayan Kovvali; Antonia Papandreou-Suppappola; Aditi Chattopadhyay; Subhasish Mohanty
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Paper Abstract

We describe a stochastic ltering approach for tracking progressive fatigue damage in structures, wherein physically based damage evolution information is combined with active sensing guided wave measurements. The input waveform used to excite dispersive modes within the structure is adaptively con gured at each time step in order to maximize the damage estimation performance. The damage evolution model is based on Paris Law, and hidden Markov modeling of time-frequency features obtained from received signals is used to de ne the measurement model. Damage state estimation is performed using a particle lter. Results are presented for fatigue crack estimation in an aluminum specimen.

Paper Details

Date Published: 20 November 2013
PDF: 12 pages
Proc. SPIE 8694, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2013, 869413 (20 November 2013); doi: 10.1117/12.2012278
Show Author Affiliations
Daniel Huff, The Boeing Co. (United States)
Narayan Kovvali, Arizona State Univ. (United States)
Antonia Papandreou-Suppappola, Arizona State Univ. (United States)
Aditi Chattopadhyay, Arizona State Univ. (United States)
Subhasish Mohanty, Argonne National Lab. (United States)


Published in SPIE Proceedings Vol. 8694:
Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2013
Tzu Yang Yu, Editor(s)

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