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Research Papers

Enhancing Structural Damage Identification Robustness to Noise and Damping With Integrated Bistable and Adaptive Piezoelectric Circuitry

[+] Author and Article Information
Jinki Kim

Department of Mechanical Engineering,
University of Michigan,
Ann Arbor, MI 48109-2125
e-mail: jinkikim@umich.edu

R. L. Harne, K. W. Wang

Department of Mechanical Engineering,
University of Michigan,
Ann Arbor, MI 48109-2125

1Corresponding author.

Contributed by the Technical Committee on Vibration and Sound of ASME for publication in the JOURNAL OF VIBRATION AND ACOUSTICS. Manuscript received March 21, 2014; final manuscript received August 8, 2014; published online November 12, 2014. Assoc. Editor: Mohammed Daqaq.

J. Vib. Acoust 137(1), 011003 (Feb 01, 2015) (8 pages) Paper No: VIB-14-1092; doi: 10.1115/1.4028308 History: Received March 21, 2014; Revised August 08, 2014; Online November 12, 2014

The accurate and reliable identification of damage in modern engineered structures is essential for timely corrective measures. Vibration-based damage prediction has been studied extensively by virtue of its global damage detection ability and simplicity in practical implementation. However, due to noise and damping influences, the accuracy of this method is inhibited when direct peak detection (DPD) is utilized to determine resonant frequency shifts. This research investigates an alternative method to detect frequency shifts caused by structural damage based on the utilization of strongly nonlinear bifurcation phenomena in bistable electrical circuits coupled with piezoelectric transducers integrated with the structure. It is shown that frequency shift predictions by the proposed approach are significantly less susceptible to error than DPD when realistic noise and damping levels distort the shifting resonance peaks. As implemented alongside adaptive piezoelectric circuitry with tunable inductance, the new method yields damage location and severity identification that is significantly more robust and accurate than results obtained following the DPD approach.

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References

Figures

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Fig. 1

Illustration of monitored structure with piezoelectric transducer and adaptive circuitry

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Fig. 2

Schematic of excited host structure to be monitored with piezoelectric transducer and attached bistable circuitry, as adapted and replotted from the authors' previous study [28]

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Fig. 3

(a) Experimental bistable circuit response, as function of excitation frequency and level, as adapted and replotted from the authors' previous study [28]. Example experimental voltage time series for (b) interwell and (c) intrawell dynamics.

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Fig. 9

(a) Damage identification comparison for structure with mild damping and with varying degrees of low-level additive noise. (b) RMSD of damage identification.

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Fig. 10

(a) Damage identification comparison for structure with increased damping and for varying degrees of low-level additive noise. (b) RMSD of damage identification.

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Fig. 7

Example of (a) noise-free integrated system resonance and (b) that with 32 dB SNR additive noise

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Fig. 8

Frequency shifts determined by DPD or BB approaches and their standard deviations as SNR increases

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Fig. 4

(a) Bistable circuit input voltage level. (b) Representative output voltage level triggering profile across the spectrum for healthy and damaged structures.

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Fig. 5

(a) Configuration of the cantilever beam integrated with bistable and adaptive piezoelectric circuitry. (b) Identification of damage on second element of the beam.

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Fig. 6

(a) Frequency shifts determined by 40 runs of BB method each having random initial conditions for each inductance. (b) Damage identification using the mean results from the 40 resonance frequency shifts.

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