Fatigue testing of a composite propeller blade using fiber-optic strain sensors

Zetterlind, Virgil; Watkins, Steve Eugene; Spoltman, Mark W.

doi:10.1109/jsen.2003.815795

Cited by 28 publications

(20 citation statements)

References 22 publications

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“…Light path i-LI-H sensors have the advantage of a direct physical correlation between the measured Bragg wavelength and strain [3][4][5][6][7][8][9][10][11][12][13].…”

Section: Broad-bandwidthmentioning

confidence: 99%

Structural health monitoring of composite wind blades by fiber bragg grating

Guo

Zhang

et al. 2007

SPIE Proceedings

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The wind turbine industry is the fastest growing market area for the use of composite materials. Fiber Bragg grating sensor can be used to monitor the mechanical behavior of composite wind blade. The internal strain of composite wind blade during a constant stress amplitude fatigue testing process was monitored with fiber Bragg gratings sensors. FBG sensors can not only be embedded in composite structures to detect fatigue damage, but also have excellent durability compared with other sensors such as electric strain gauges. After 1 million cycles, the FBG sensors can still keep good sensibility. FBGs as a fatigue indicator are a novel sensor to monitor, evaluate and give crash alert for the health state of composite wind blades during their whole service life.

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“…Light path i-LI-H sensors have the advantage of a direct physical correlation between the measured Bragg wavelength and strain [3][4][5][6][7][8][9][10][11][12][13].…”

Section: Broad-bandwidthmentioning

confidence: 99%

Structural health monitoring of composite wind blades by fiber bragg grating

Guo

Zhang

et al. 2007

SPIE Proceedings

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“…[10][11][12][13][14]18,26 These sensors offer a wide range of advantages over nonoptical sensors including little perturbation to the host structure, immunity to electromagnetic interference, good fatigue performance, 27,28 and the ability to form multiplexed networks for complex measurements. Advances in fiber optic sensing technology are reducing the weight, the required power, and the cost.…”

Section: Efpi Sensor-based Hmssmentioning

confidence: 99%

“…Advances in fiber optic sensing technology are reducing the weight, the required power, and the cost. Host materials include concrete, 29 metals, and composites, 27,30 and applications include the associated civil, aerospace, and automotive structures. [20][21][22][31][32][33] In particular, EFPI strain sensors have high dynamic and static sensitivity, a low physical profile, [12][13][14] and good compatibility with fiberglass reinforced plastic ͑FRP͒ composites.…”

Section: Efpi Sensor-based Hmssmentioning

confidence: 99%

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Demodulation of extrinsic Fabry-Pe´rot interferometric sensors for vibration testing using neural networks

2004

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Strain level measurement on a periodically actuated and instrumented structure can provide information about the health of that structure. A simple demodulation system employing artificial neural networks (ANNs) is analyzed for an extrinsic Fabry-Pé rot interferometric (EFPI) strain sensor. The harmonic content of the nonlinear sensor output for the sinusoidal strain case is used to predict the maximum strain level. Implementations of the demodulation system are demonstrated for both simulated and experimental data using back-propagation neural networks. The simulation uses the theoretical response of the EFPI sensor and the experiment uses an EFPI-instrumented smart composite beam to obtain training and testing data. Excitation is provided by a piezoelectric actuator operating from 50 Hz to 1 kHz. System performance is compared for two-stage and single-stage networks and for differing types of data preprocessing. The ANN systems successfully extract the signal harmonics and predict the peak strain levels. Data preprocessing using principal component analysis produces the best accuracy. The architecture of an EFPI-based health monitoring system is proposed.

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“…These rugged sensors have excellent noise-free performance and fatigue characteristics. 10 The most widely used method for realizing the EFPI sensor is by epoxying two pieces of fiber, with cleaved ends, inside a hollow tube (glass or ceramic) and controlling the separation distance between the two fiberends. [11][12][13][14][15] In addition to the cumbersome fabrication process and the calibration issues related to controlling the cavity gap, this design has limited thermal performance due to the thermal expansion of the tube and the temperature limitation of the epoxy, e.g., Loctite epoxy extra time pro (slow setting) is effective up to 150°C once cured.…”

Section: Introductionmentioning

confidence: 99%

Microcavity strain sensor for high temperature applications

et al. 2014

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Abstract. A microcavity extrinsic Fabry-Perot interferometric (EFPI) fiber-optic sensor is presented for measurement of strain. The EFPI sensor is fabricated by micromachining a cavity on the tip of a standard single-mode fiber with a femtosecond (fs) laser and is then self-enclosed by fusion splicing another piece of single-mode fiber. The fs-laser-based fabrication makes the sensor thermally stable to sustain temperatures as high as 800°C. The sensor exhibits linear performance for a range up to 3700 με and a low temperature sensitivity of only 0.59 pm∕°C through 800°C.

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Fatigue testing of a composite propeller blade using fiber-optic strain sensors

Cited by 28 publications

References 22 publications

Structural health monitoring of composite wind blades by fiber bragg grating

Structural health monitoring of composite wind blades by fiber bragg grating

Demodulation of extrinsic Fabry-Pe´rot interferometric sensors for vibration testing using neural networks

Microcavity strain sensor for high temperature applications

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