Fibre Break Failure Processes in Unidirectional Composites. Part 1: Failure and Critical Damage State Induced by Increasing Tensile Loading

Thionnet, Alain; Chou, H.Y.; Bunsell, Anthony R.

doi:10.1007/s10443-014-9397-0

Cited by 12 publications

(18 citation statements)

References 59 publications

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“…Variation in fibre strength arising due to uncertainty in an input quantity x i is given by (∂σ/∂x i ) u (x i ). The combined variance on fibre strength u c 2 (σ) can be given by the sum of all variances generated due to uncertainties in each individual quantity x i , as given by Equation (18). This expression is valid when there is no correlation between the quantities on which the parameter depends, as in the present case.…”

Section: Propagation Of Uncertainty To Fibre Tensile Strengthmentioning

confidence: 87%

“…It is obtained by taking the positive square root of the combined variance of the fibre strength. The combined standard uncertainty for fibre strength u c (σ) as obtained from the combined variance u c 2 (σ) is given by Equation (18).…”

Section: Propagation Of Uncertainty To Fibre Tensile Strengthmentioning

confidence: 99%

“…The required lengths are usually smaller when compared to the gauge length usually used for experimentation, mainly because practical limitations make it difficult to conduct experiments at very short gauge lengths. For most models, fibre properties for gauge lengths in the range of a few hundred micrometres to a few millimetres are required [2,17,18]. However, almost all experimental results available are for fibre gauge lengths in the range of a few tens of milimetres [8].…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Critical Parameters in Tensile Strength Measurement of Single Fibres

2019

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Mechanical properties of fibre reinforced composites are primarily dependent on those of fibres. Fibre properties are used for estimating the damage and strength behaviour of composite materials and structures. Tensile strength of fibres is commonly determined by single fibre tensile tests, which is challenging and is prone to measurement errors. In this study, different possible sources of errors due to experimental limitations in the fibre testing process were identified. Their effect on fibre tensile strength was analytically modelled. This model was used to evaluate the uncertainty in experimentally determined fibre strength. A sensitivity analysis was conducted to rank the relative significance of input quantities on the calculated fibre strength. Since composite models require fibre properties determined at very small gauge lengths, the results of the sensitivity analysis were extrapolated to determine critical parameters for tests done at those small gauge lengths of a few millimetres. It was shown that, for sufficiently long fibres, their strength depends mainly on the diameter and failure force; however, for shorter gauge lengths, the effects of misalignment become very significant. The knowledge of uncertainty would be useful in estimating the reliability of the predictions made by composite strength models on the damage and failure behaviour of composite materials and structures. Minimising the influence of critical parameters on fibre strength would help in designing improved single fibre testing systems capable of determining fibre strength more accurately.

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Section: Propagation Of Uncertainty To Fibre Tensile Strengthmentioning

confidence: 87%

Section: Propagation Of Uncertainty To Fibre Tensile Strengthmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evaluation of Critical Parameters in Tensile Strength Measurement of Single Fibres

2019

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“…For this reason, a "Start of INSTability" point (denoted as ) has also be de ined. The way these points can be found has been explained in detail elsewhere [52].…”

Section: Discussionmentioning

confidence: 99%

Benchmarking of strength models for unidirectional composites under longitudinal tension

Bunsell

Gorbatikh

Morton

et al. 2018

Composites Part A: Applied Science and Manufacturing

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Several modelling approaches are available in the literature to predict longitudinal tensile failure of ibre-reinforced polymers. However, a systematic, blind and unbiased comparison between the predictions from the different models and against experimental data has never been performed. This paper presents a benchmarking exercise performed for three different models from the literature: (i) an analytical hierarchical scaling law for composite ibre bundles, (ii) direct numerical simulations of composite ibre bundles, and (iii) a multiscale inite-element simulation method. The results show that there are signi icant discrepancies between the predictions of the different modelling approaches for ibre-break density evolution, cluster formation and ultimate strength, and that each of the three models presents unique advantages over the others. Blind model predictions are also compared against detailed computed-tomography experiments, showing that our understanding of the micromechanics of longitudinal tensile failure of composites needs to be developed further.

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“…Yet, while composites provide many advantages, assessing their structural health is a significant challenge. Structural defects can manifest in many forms, including delaminations between layers [3], cracking in the epoxy matrix [4,5], damage to individual fibers [6], porosity [7,8], voids [8], and fiber waviness [9,10,11]. These defects can occur during manufacturing or inservice operation and can significantly weaken the structure.…”

Section: Introductionmentioning

confidence: 99%

Multidimensional guided wave dispersion recovery for locating defects in composite materials

Harley¹,

Marchi²

2016

AIP Conference Proceedings

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Abstract. This paper provides a framework for characterizing anisotropic guided waves to locate damage in composite structures. Composite guided wave structural health monitoring is a significant challenge due to anisotropy. Wave velocities and attenuation vary as a function of propagation direction. Traditional localization algorithms, such as triangulation and delay-and-sum beamforming, fail for composite monitoring because they rely on isotropic velocity assumptions. Estimating the anisotropic velocities is also challenging because the inverse problem is inherently ill-posed. We cannot solve for an infinite number of directions with a finite number of measurements. This paper addresses these challenges by deriving a physics-based model for unidirectional anisotropy and integrating it with sparse recovery tools and matched field processing to characterize composite guided waves and locate an acoustic source. We validate our approach with experimental laser doppler vibrometry measurements from a glass fiber reinforced composite panel. We achieve localization accuracies of more than 290 and 49 times better, respectively, than delay-and-sum and matched field processing with isotropic assumptions.

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Fibre Break Failure Processes in Unidirectional Composites. Part 1: Failure and Critical Damage State Induced by Increasing Tensile Loading

Cited by 12 publications

References 59 publications

Evaluation of Critical Parameters in Tensile Strength Measurement of Single Fibres

Evaluation of Critical Parameters in Tensile Strength Measurement of Single Fibres

Benchmarking of strength models for unidirectional composites under longitudinal tension

Multidimensional guided wave dispersion recovery for locating defects in composite materials

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