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  • Multiple Data Set (MDS) weak-link scaling analysis of jute fibres

    Author(s)
    Virk, Amandeep Singh
    Hall, Wayne
    Summerscales, John
    Griffith University Author(s)
    Hall, Wayne
    Year published
    2009
    Metadata
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    Abstract
    Jute technical fibres were tested in tension at 10 different gauge lengths between 6 mm and 300 mm (P50 or P100 tests at long or short gauge lengths respectively). The Young's modulus, strain to failure and ultimate tensile strengths were determined individually and then Weibull distribution parameters were estimated using the maximum likelihood method to quantify the variation. Single Data Set (SDS, standard) and Multiple Data Set (MDS) weak-link scaling (WLS) predictions were assessed using Anderson- Darling Goodness of Fit Numbers (GOFN). The use of MDS predictions provides better correlation with the experimental ...
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    Jute technical fibres were tested in tension at 10 different gauge lengths between 6 mm and 300 mm (P50 or P100 tests at long or short gauge lengths respectively). The Young's modulus, strain to failure and ultimate tensile strengths were determined individually and then Weibull distribution parameters were estimated using the maximum likelihood method to quantify the variation. Single Data Set (SDS, standard) and Multiple Data Set (MDS) weak-link scaling (WLS) predictions were assessed using Anderson- Darling Goodness of Fit Numbers (GOFN). The use of MDS predictions provides better correlation with the experimental data than the standard weak-link scaling method. The authors recommend the use of MDS weak-link scaling for this problem with at least two points (but preferably three) with fibre lengths at two extremes (and, if used, the third point near the mean fibre length).
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    Journal Title
    Composites: Part A
    Volume
    40
    Issue
    11
    DOI
    https://doi.org/10.1016/j.compositesa.2009.08.022
    Subject
    Aerospace engineering
    Materials engineering
    Materials engineering not elsewhere classified
    Mechanical engineering
    Publication URI
    http://hdl.handle.net/10072/30735
    Collection
    • Journal articles

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