Characterization of Global and Local Damages in Composite Images Using Geometrical and Fourier-Hu Moment–Based Shape Descriptors

Fredo, A. R. Jac; Abilash, R.; Robert, Femi; Raja, N. Sri Madhava; Kumar, C. Suresh

doi:10.1520/jte20180701

Cited by 6 publications

(1 citation statement)

References 50 publications

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“…Similar trends were observed in the peak contact force and residual deformation for bidirectional and chopped laminates under both loading conditions (shown in Figure 3). is result evidences that the local bending resistance of laminates is significantly influenced by the fiber reinforcement phases [23,24].…”

Section: Load-displacement Responsementioning

confidence: 98%

[Retracted] Effect of the Reinforcement Phase on Indentation Resistance and Damage Characterization of Glass/Epoxy Laminates Using Acoustic Emission Monitoring

Kumar

Prathap²,

Prince³

et al. 2021

Advances in Materials Science and Engineering

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The effect of reinforcement phases on indentation resistance and damage behavior of glass/epoxy laminates was investigated in this research work. Woven glass fiber mat and nonwoven chopped glass fiber mat were used as fiber reinforcement phases for fabricating the laminates. Low-velocity impact and quasi-static indentation tests were performed on both laminates to investigate the contact behavior and energy-absorbing capability. Moreover, the acoustic emission (AE) technique was employed to monitor the indentation damage resistance. AE parameters including normalized cumulative counts (NCC), normalized cumulative energy (NCE), rise angle (RA), and felicity ratio (FR) were analyzed. The bidirectional laminates showed premature load drops and drastic changes in the normalized cumulative counts/energy profile in the beginning of loading cycles, indicating the development of macrodamage such as debonding/delamination. AE sentry function results of bidirectional laminates show longer PII function at the earlier stages, associated with minor PIII function and greater PIV function, indicating the continuous degradation and progression of damage. In contrast, the chopped laminates exhibited superior postimpact performance than the bidirectional laminates. The presence of randomly oriented fibres prevents the delamination crack propagation during compression loading, which was attributed with the increased residual compressive strength.

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Section: Load-displacement Responsementioning

confidence: 98%

[Retracted] Effect of the Reinforcement Phase on Indentation Resistance and Damage Characterization of Glass/Epoxy Laminates Using Acoustic Emission Monitoring

Kumar

Prathap²,

Prince³

et al. 2021

Advances in Materials Science and Engineering

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Automated damage detection and characterization of polymer composite images using Tsallis‐particle swarm optimization‐based multilevel threshold and multifractals

Ronickom

Sobhana²,

Robert

et al. 2020

Polymer Composites

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Automatic detection and quantification of damage in the composite structure are a vital requirement in the assessment of the overall structural integrity of modern aerospace systems. In this work, the indentation‐induced damage in the glass fiber‐reinforced polymer composite (GFRP) laminates is investigated using multilevel threshold‐based particle swarm optimization (PSO) and multifractals. Initially, the digital images are acquired after the composite laminates are subjected to 5 mm, 6 mm, and 7 mm indentation displacements. The indentation‐induced damage images are filtered using anisotropic diffusion filter and damage regions are segmented using Tsallis‐PSO method. The magnitude of the damage is analyzed using multifractal spectrum features. Results show that Tsallis‐PSO with the four‐level thresholds is optimal for the segmentation of the damage. Tsallis‐PSO is also able to segment the boundaries of the damage precisely. The damage due to different levels of indentation depth is well differentiated by the multifractal spectrum features. Multifractal spectrum constructed using the scale, ranges from q = −1 to +1, discriminates the damage with a high statistical significance of P < .001. The damage dimension linearly progresses (R = .993) with increasing the level of indentation depth. Even though, the proposed process pipeline is an initial step of investigation of damages in GFRP, this framework can be used in the industries for the quantification of damage in GFRP composite laminates.

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Damage classification in composite structures based on X-ray computed tomography scans using features evaluation and deep neural networks

Rogala

Przystałka

Katunin

2022

Procedia Structural Integrity

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Characterization of Global and Local Damages in Composite Images Using Geometrical and Fourier-Hu Moment–Based Shape Descriptors

Cited by 6 publications

References 50 publications

[Retracted] Effect of the Reinforcement Phase on Indentation Resistance and Damage Characterization of Glass/Epoxy Laminates Using Acoustic Emission Monitoring

[Retracted] Effect of the Reinforcement Phase on Indentation Resistance and Damage Characterization of Glass/Epoxy Laminates Using Acoustic Emission Monitoring

Automated damage detection and characterization of polymer composite images using Tsallis‐particle swarm optimization‐based multilevel threshold and multifractals

Damage classification in composite structures based on X-ray computed tomography scans using features evaluation and deep neural networks

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