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

Virk, Amandeep Singh, Hall, Wayne and Summerscales, John (2009) Multiple Data Set (MDS) weak-link scaling analysis of jute fibres. Composites Part A: Applied Science and Manufacturing, 40 11: 1764-1771. doi:10.1016/j.compositesa.2009.08.022

Author Virk, Amandeep Singh
Hall, Wayne
Summerscales, John
Title Multiple Data Set (MDS) weak-link scaling analysis of jute fibres
Journal name Composites Part A: Applied Science and Manufacturing   Check publisher's open access policy
ISSN 1359-835X
Publication date 2009-11-01
Sub-type Article (original research)
DOI 10.1016/j.compositesa.2009.08.022
Volume 40
Issue 11
Start page 1764
End page 1771
Total pages 8
Place of publication Kidlington, Oxford, United Kingdom
Publisher Pergamon
Language eng
Abstract Jute technical fibres were tested in tension at 10 different gauge lengths between 6 mm and 300 mm (≥50 or ≥100 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).
Keyword A. Fibres
B. Mechanical properties
B. Mechanical properties
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Faculty of Engineering, Architecture and Information Technology -- Student Publications
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Created: Sat, 22 Oct 2011, 00:52:12 EST by Viviane Victoria Crosthwaite on behalf of Faculty Of Engineering, Architecture & Info Tech