Numerical simulation of the propagation of Lamb waves and their interaction with defects in C-FRP laminates for non-destructive testing

Voß, Morten; Ilse, Detlef; Hillger, Wolfgang; Vallée, Till; Eppmann, Mathis; Wit, Jesper de; Dungern, Friedrich von

doi:10.1080/09243046.2019.1692273

Cited by 16 publications

(5 citation statements)

References 29 publications

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“…The dispersion characteristics of the composite laminate can be acquired [36], while the dispersion curve serves to characterize the propagation features of Lamb waves. This curve is crucial for selecting the center frequency of Lamb wave detection [26,37].…”

Section: Dispersion Characteristics Of Lamb Wavesmentioning

confidence: 99%

Bayesian approach of elliptical loci and RAPID for damage localization in wind turbine blade

Lu,

Zheng,

Zhang

et al. 2024

Smart Mater. Struct.

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This investigation addresses the issue of damage detection and localization in wind turbine blade laminates. This paper proposes a novel approach that integrates the elliptical trajectory and probabilistic imaging method using the Bayesian framework. This method employs multiple damage-sensitive features to enhance the reliability and robustness of sensor arrays. The algorithm is optimized by analyzing the propagation characteristics of Lamb waves in composite blade laminates. A numerical simulation is conducted on a 1.5MW wind turbine blade laminate model, incorporating the scattered wave signal, wave arrival time, and correlation coefficient as damage characteristic signals. Markov Chain Monte Carlo (MCMC) sampling method is adopted to obtain the posterior distribution of the damage location and achieve accurate localization of blade delamination damage. The experimental results indicate that the damage localization algorithm, which utilizes the Bayesian approach, achieves an accuracy of approximately 97.04% in localizing delamination damage in blade laminates.

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Section: Dispersion Characteristics Of Lamb Wavesmentioning

confidence: 99%

Bayesian approach of elliptical loci and RAPID for damage localization in wind turbine blade

Lu,

Zheng,

Zhang

et al. 2024

Smart Mater. Struct.

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“…The shape, velocity, and amplitudes of Lamb waves were significantly affected by the ply orientation of CFRP [ 38 ]. The delamination damage quantification law obtained from CFRP with specific ply orientation did not apply to the delamination damage quantification in CFRP under other ply orientations.…”

Section: Finite-element Simulationmentioning

confidence: 99%

Research on Delamination Damage Quantification Detection of CFRP Bending Plate Based on Lamb Wave Mode Control

Yu,

Zhou,

Cheng

et al. 2024

Sensors

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The carbon-fiber-reinforced polymer (CFRP) bending structure is widely used in aviation. The emergence and spread of delamination damage will decrease the safety of in-service bending structures. Lamb waves can effectively identify delamination damage as a high-damage-sensitivity detection tool. For this present study, the signal difference coefficient (SDC) was introduced to quantify delamination damage and evaluate the sensitivity of A0-mode and S0-mode Lamb waves to delamination damage. The simulation results show that compared with the S0-mode Lamb wave, the A0-mode Lamb wave exhibits higher delamination damage sensitivity. The delamination damage can be quantified based on the strong correlation between the SDC and the delamination damage size. The control effect of the linear array PZT phase time-delay method on the Lamb wave mode was investigated by simulation. The phase time-delay method realizes the generation of a single-mode Lamb wave, which can separately excite the A0-mode and S0-mode Lamb wave to identify delamination damage of different sizes. The A0-mode Lamb wave was excited by the developed one-dimensional miniaturized linear comb transducer (LCT), which was used to conduct the detection experiment on the CFRP bending plate with delamination damage sizes of Φ6.0 mm, Φ10.0 mm, and Φ15.0 mm. The experimental results verify the correctness of the simulation. According to the Hermite interpolation results of the finite-element simulation data, the relationship between the delamination damage size and the SDC was fitted by the Gaussian function and Rational function, which can accurately quantify the delamination damage. The absolute error of the delamination damage quantification with Gaussian and Rational fitting expression does not exceed 0.8 mm and 0.7 mm, and the percentage error is not more than 8% and 7%. The detection and signal processing methods employed in the present research are easy to operate and implement, and accurate delamination damage quantification results have been obtained.

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“…The Puck IFF criteria are specified by Equations () and (). [ 24,25 ]

((), i) σ_{n} \geq 0

f_{E_{italicIFF}} (θ) goodbreak= \begin{matrix} lefttrue \\ \sqrt{{([], (\frac{1}{R_{normal⊥}^{italicAt}} goodbreak- \frac{P_{⊥ ψ}^{t}}{R_{⊥ ψ}^{A}}) σ_{n} (θ))}^{2} + {([], \frac{τ_{italicnt} (θ)}{R_{⊥⊥}^{A}})}^{2} + + {([], \frac{τ_{n 1} (θ)}{R_{normal⊥ true∥}^{A}})}^{2}} \\ + \frac{P_{normal⊥ normalψ}^{t}}{R_{normal⊥ normalψ}^{A}} σ_{n} (θ) \end{matrix}

((), ii) σ_{n} \leq 0

f_{E_{italicIFF}} ((), θ) goodbreak= \sqrt{{(\frac{τ_{nt} ((), θ)}{R_{normal⊥⊥}^{A}})}^{2} + {(\frac{τ_{n 1} ((), θ)}{R_{⊥ ∥}^{A}})}^{2} + {(\frac{P_{normal⊥ normalψ}^{c}}{R_{normal⊥ normalψ}^{A}} σ_{n} (θ))}^{2}} goodbreak+ \frac{P_{⊥ ψ}^{c}}{R_{⊥ ψ}^{A}} σ_{n} ((), θ)

where,

…”

Section: Finite Element (Fe) Analysismentioning

confidence: 99%

“…Various non-destructive testing methods applied by researchers for investigation and identification of defects in the composite are Visual Testing, Electromagnetic Testing, Thermography, Ultrasonic Testing, Acoustic Emission Testing, Radiographic Testing, and Shearography Testing. [21][22][23][24][25] These above-mentioned methods give data to fabricate the specimens for analyzing defects that occurred in the manufacturing process. The data is mainly obtained from non-destructive testing methods applied to complex shape industrial components.…”

Section: Specimen Fabrication With Wavinessmentioning

confidence: 99%

Experimental and numerical investigation on flexural performance of carbon fiber reinforced polymer composites with uniform and non‐uniform waviness

2022

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The failure of unidirectional and quasi‐isotropic carbon fiber reinforced polymer composite laminate with uniform and non‐uniform out‐of‐plane waviness defects were examined. Experimental tests and numerical simulations were performed for specimens with and without defects. Specimens with different types of waviness such as uniform embedded, non‐uniform hump and non‐uniform indentation were fabricated for testing their performance under three‐point flexural tests. Optical microscopic images were captured throughout the test to investigate the initiation and progression of failure in laminates. Three‐dimensional finite element (FE) models were built by considering actual specimen and defect geometric configurations obtained from optical microscopy. User material subroutine (UMAT) was developed and implemented in Abaqus/Standard to simulate intra‐ply failures as a continuum damage mechanism. The generated models are used to recognize damage initiation and progression during the flexural test. The experimental observations and FE simulation results are in good agreement for failure loads and damage mechanisms for different waviness cases.

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Numerical simulation of the propagation of Lamb waves and their interaction with defects in C-FRP laminates for non-destructive testing

Cited by 16 publications

References 29 publications

Bayesian approach of elliptical loci and RAPID for damage localization in wind turbine blade

Bayesian approach of elliptical loci and RAPID for damage localization in wind turbine blade

Research on Delamination Damage Quantification Detection of CFRP Bending Plate Based on Lamb Wave Mode Control

Experimental and numerical investigation on flexural performance of carbon fiber reinforced polymer composites with uniform and non‐uniform waviness

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