A computationally-efficient hierarchical scaling law to predict damage accumulation in composite fibre-bundles

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Title: A computationally-efficient hierarchical scaling law to predict damage accumulation in composite fibre-bundles
Author(s): Pimenta, S
Item Type: Journal Article
Abstract: Unidirectional composites under longitudinal tension develop damage through the accumulation and clustering of fibre–breaks, which may lead to catastrophic failure of an entire structure. This paper uses a hierarchical scaling law to predict the kinetics of fibre–breakage and its effect on the stress–strain response of composites under longitudinal tension; due to its analytical formulation based on the statistical analysis of hierarchical fibre–bundles, the scaling law predicts the response of composite bundles up to virtually any size in less than one second. Model predictions for the accumulation and clustering of fibre–breaks are successfully validated against experiments from the literature. These results show that the present model is a much more computationally–efficient alternative to other state–of–the–art models based on Monte–Carlo simulations, without sacrificing the accuracy of predictions when compared against experiments.
Publication Date: 18-Apr-2017
Date of Acceptance: 13-Apr-2017
URI: http://hdl.handle.net/10044/1/50896
DOI: https://dx.doi.org/10.1016/j.compscitech.2017.04.018
ISSN: 0266-3538
Publisher: Elsevier
Start Page: 210
End Page: 225
Journal / Book Title: Composites Science and Technology
Volume: 146
Copyright Statement: © 2017 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor/Funder: Royal Academy of Engineering
Funder's Grant Number: RF/133
Keywords: Science & Technology
Technology
Materials Science, Composites
Materials Science
Polymer-matrix composites
Fragmentation
Stress/strain curves
Modelling
Probabilistic methods
UNIDIRECTIONAL CFRP COMPOSITES
REINFORCED COMPOSITES
TENSILE-STRENGTH
COMPUTED-TOMOGRAPHY
STRESS-CONCENTRATIONS
FIBROUS COMPOSITES
ELASTIC MATRIX
CARBON-FIBERS
EPOXY-RESIN
MODEL
Science & Technology
Technology
Materials Science, Composites
Materials Science
Polymer-matrix composites
Fragmentation
Stress/strain curves
Modelling
Probabilistic methods
UNIDIRECTIONAL CFRP COMPOSITES
REINFORCED COMPOSITES
TENSILE-STRENGTH
COMPUTED-TOMOGRAPHY
STRESS-CONCENTRATIONS
FIBROUS COMPOSITES
ELASTIC MATRIX
CARBON-FIBERS
EPOXY-RESIN
MODEL
09 Engineering
Materials
Publication Status: Published
Embargo Date: 2018-04-18
Appears in Collections:Faculty of Engineering
Mechanical Engineering



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