Comparison of diagnostic techniques to measure damage growth in a stiffened composite panel

Clay, Stephen B.; Brown, Kevin; Jenkins, Caitlin; Hall, Mellisa A.; Knoth, Philip; Smyers, Brian

doi:10.1016/j.compositesa.2020.106030

Cited by 3 publications

(1 citation statement)

References 20 publications

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“…Methods of the control, monitoring, and diagnostics of composite materials (CM) are aimed at ensuring quality at all stages of the product life cycle [1,2]. One of the widely used methods is the method of acoustic emission (AE) [3].…”

Section: Introductionmentioning

confidence: 99%

Amplitude-Energy Parameters of Acoustic Radiation with Composite Properties Changing and Mieses Destruction

Filonenko,

Stakhova

2023

JAMRIS

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The paper considers the modeling results influence of parameter that characterize composite properties on acoustic emission energy parameters during the composite material destruction by shear forces according to von Mises criterion. It is shown that the analyzed parameter increases a non-linear decrease of acoustic radiation maximum and total energy is occurs. It is determined that obtained patterns decrease of acoustic emission signals maximum and total energy are well described by power functions. It is shown that the most sensitive parameter of acoustic radiation to change the parameter characterizing composite properties is the acoustic emission signals total energy. It is determined that a decrease of acoustic emission signals maximum energy is ahead to decrease the maximum amplitude, and a decrease of acoustic emission signals total energy is ahead to decrease the maximum energy.

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Section: Introductionmentioning

confidence: 99%

Amplitude-Energy Parameters of Acoustic Radiation with Composite Properties Changing and Mieses Destruction

Filonenko,

Stakhova

2023

JAMRIS

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Effect of prefabricating process on remelting interfacial properties for thermoplastic composite stiffened structures: Molecular dynamics simulation and experimental verification

Dai,

Zhan,

et al. 2024

Polymer

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Surrogate PHFGMC micromechanical models for multiscale analysis: AI-enhanced low-velocity impact analysis of hat-stiffened composite panels

Hochster,

Ranatunga,

Shemesh

et al. 2024

Journal of Composite Materials

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The Parametric High-Fidelity Generalized Method of Cells (PHFGMC) has been established as an advanced micromechanical approach well-suited for analyzing the material nonlinearity and failure behavior of diverse periodic composite materials. In order to overcome the prohibitive computational cost of integrating micromechanical models into multiscale structural analyses as constitutive models, a proxy-surrogate modeling approach has been proposed by implementing a reduction modeling approach with deep Artificial Neural Networks (DNNs or ANNs). The PHFGMC-ANN approach has been employed to investigate the low velocity impact (LVI) analyses of hat-stiffened laminated composite panels under impact loading at various locations and energies with two different support conditions. Subsequent analysis of stiffened panels under compression loading has been conducted to understand the failure behavior of impacted panels. Further investigation was conducted into the separation between the skin and the stiffener, focusing on a single hat-stiffened coupon subjected to LVI. The analysis results have been compared against the experimental tests, and the comparison of interlaminar delamination has been used to demonstrate the efficacy of the new framework in integrating refined nonlinear micromechanical models within a multiscale analysis.

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Comparison of diagnostic techniques to measure damage growth in a stiffened composite panel

Cited by 3 publications

References 20 publications

Amplitude-Energy Parameters of Acoustic Radiation with Composite Properties Changing and Mieses Destruction

Amplitude-Energy Parameters of Acoustic Radiation with Composite Properties Changing and Mieses Destruction

Effect of prefabricating process on remelting interfacial properties for thermoplastic composite stiffened structures: Molecular dynamics simulation and experimental verification

Surrogate PHFGMC micromechanical models for multiscale analysis: AI-enhanced low-velocity impact analysis of hat-stiffened composite panels

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