Evaluation of normalisation methods for uniaxial bias extension tests on engineering fabrics

Härtel, F. and Harrison, P. (2014) Evaluation of normalisation methods for uniaxial bias extension tests on engineering fabrics. Composites Part A: Applied Science and Manufacturing, 37, pp. 61-69. (doi:10.1016/j.compositesa.2014.08.011)

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Publisher's URL: http://dx.doi.org/10.1016/j.compositesa.2014.08.011

Abstract

An investigation has been conducted to evaluate the performance of normalisation methods for the uniaxial bias extension test. The predictions of two published theories for rate-independent behaviour are examined and a third heuristic method is proposed. Using hypothetical test data, the predictions of the two rate-independent theories are shown to be equivalent for specimen dimensions of high aspect ratio; in this case the predictions can be well-represented using the simple heuristic formula. The predictions diverge for specimens of low aspect ratio, when specimens are sheared to very high shear angles. In order to examine the significance of this divergence on real data, results from tests on several different engineering fabrics are normalised. Differences in the predictions of the normalisation methods are observed and the question of the significance of these differences is discussed. The paper also examines the applicability of rate-independent theory for normalising rate-dependent materials.

Item Type:Articles
Additional Information:NOTICE: this is the author’s version of a work that was accepted for publication in Composites Part A: Applied Science and Manufacturing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Composites Part A: Applied Science and Manufacturing, 37, (2014)] DOI 10.1016/j.compositesa.2014.08.011
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Harrison, Dr Philip
Authors: Härtel, F., and Harrison, P.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:Composites Part A: Applied Science and Manufacturing
Publisher:Elsevier Ltd.
ISSN:1359-835X
ISSN (Online):1878-5840
Copyright Holders:Copyright © 2014 Elsevier
First Published:First published in Composites Part A: Applied Science and Manufacturing 37:61-69
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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