Microscale material variability and its effect on longitudinal tensile failure of unidirectional carbon fibre composites

Malgioglio, Fabio; Pimenta, Soraia; Matveeva, Anna; Farkas, Laszlo; Desmet, Wim; Lomov, Stepan Vladimirovitch; Swolfs, Yentl

doi:10.1016/j.compstruct.2020.113300

Cited by 15 publications

(9 citation statements)

References 37 publications

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“…In studying the SCF of FRP including a broken fiber, many scholars have used 3D solid elements to model the matrix and fiber, [25,[38][39][40][41] which is referred to classic 3D FE model in the following part of this paper. In these FE models, the distance between some adjacent fibers could be very small (less than 0.1 μm) due to random fiber distribution.…”

Section: Efficient Fe Modelling On Calculation Of Scfmentioning

confidence: 99%

Modelling on stress redistribution around broken fibers for fiber reinforced plastic with poor fiber distribution uniformity

Zhu

Jia

et al. 2022

Polymer Composites

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In order to calculate stress redistribution after a fiber breaking for unidirectional fiber reinforced plastic (FRP) with practically poor fiber distribution uniformity, a new and efficient FE model is developed with high computation efficiency. Based on the proposed FE model, the stress concentration factor (SCF) of intact fibers around a broken fiber is investigated for unidirectional FRP. It is observed that the SCF depends heavily on the local fiber volume ratio (FVR), and a modified analytical SCF model is proposed which takes into account the variation of local FVR. It is proved that the modified analytical SCF model can provide SCF values with much better accuracy for FRP with poor fiber distribution uniformity. The modified analytical SCF model would be very useful for accurate prediction of progressive fiber breaking in FRP.

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Section: Efficient Fe Modelling On Calculation Of Scfmentioning

confidence: 99%

Modelling on stress redistribution around broken fibers for fiber reinforced plastic with poor fiber distribution uniformity

Zhu

Jia

et al. 2022

Polymer Composites

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“…The prediction on the structural performance unidirectional laminates due to the microscale spatial variability have also been studied [11,12]. The progress on the uncertainty analysis of the composites has been reported by researchers [13,14,15,16].…”

Section: Introductionmentioning

confidence: 99%

A comparative study on stochastic multiscale analysis of composite laminates

Bhattacharyya

2023

Preprint

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The progressive damage analysis of fiber composites is performed using deterministic field variables precluding the consideration of natural variability in material manufacturing. Even with high quality control techniques employed by manufacturers, there are sources of variability in the material at different spatial scales. The natural variability at microscale within the material is modeled using (1) random field approach, (2) incorporating spatially varying micro-defects. In both the approach same sampling-based non-intrusive method was adopted to incorporate aleatory uncertainty in a concurrent multiscale modeling framework. A comparison between the approaches to predict ultimate strength and stiffness of laminates is presented. Both unnotched and open-hole quasi-isotropic laminates were analyzed for validation.

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“…Fibre surface defects, among other imperfections, lead to a stochastic fibre strength commonly modelled by a Weibull distribution [3]. In combination with, for example, misaligned fibres [4][5][6], unevenly distributed [2] fibres or voids [7] in the matrix material this affects the stochastic behaviour of composite structures.…”

Section: Introductionmentioning

confidence: 99%

“…However, both the inter-and autocorrelation structure of these variables are not considered. Malgioglio et al [6] include spatial variability by modelling the fibre misalignment and fibre volume fraction as random fields. The small correlation lengths of these imperfections, however, result in a prohibitively small element size (tens of µm) in the FE analysis, limiting its use in large structural analyses.…”

Section: Introductionmentioning

confidence: 99%

Efficient quantification of composite spatial variability: A multiscale framework that captures intercorrelation

Van Bavel,

Zhao,

Faes

et al. 2023

Composite Structures

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Microscale material variability and its effect on longitudinal tensile failure of unidirectional carbon fibre composites

Cited by 15 publications

References 37 publications

Modelling on stress redistribution around broken fibers for fiber reinforced plastic with poor fiber distribution uniformity

Modelling on stress redistribution around broken fibers for fiber reinforced plastic with poor fiber distribution uniformity

A comparative study on stochastic multiscale analysis of composite laminates

Efficient quantification of composite spatial variability: A multiscale framework that captures intercorrelation

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