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Evaluation of Critical Parameters in Tensile Strength Measurement of Single Fibres

Abstract : 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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Contributor : Sébastien Joannès Connect in order to contact the contributor
Submitted on : Monday, October 21, 2019 - 10:42:29 AM
Last modification on : Tuesday, April 26, 2022 - 3:20:01 PM

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Faisal Islam, Sébastien Joannès, Lucien Laiarinandrasana. Evaluation of Critical Parameters in Tensile Strength Measurement of Single Fibres. Journal of Composites Science, MDPI, 2019, 3 (3), pp.69. ⟨10.3390/jcs3030069⟩. ⟨hal-02321373⟩



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