Modelling the longitudinal failure of fibre-reinforced composites at microscale

G. Catalanotti; L. F. Varandas; António R. Melro; T. A. Sebaey; M. A. Bessa; B. G. Falzon

doi:10.1016/B978-0-12-818984-9.00012-3

Modelling the longitudinal failure of fibre-reinforced composites at microscale

G. Catalanotti, L. F. Varandas, António R. Melro, T. A. Sebaey, M. A. Bessa, B. G. Falzon

Team Georgy Filonenko

Research output: Chapter in Book/Conference proceedings/Edited volume › Chapter › Scientific › peer-review

3 Citations (Scopus)

Abstract

A micromechanics framework for modelling the longitudinal failure of unidirectional fibre composites, in both tension and compression, is presented. Appropriate constitutive models are used for the different constituents (i.e., fibre and matrix) and interfaces. An algorithm for the generation of the fibre misalignment is reported. It combines a stochastic process with an optimization procedure in order to match the numerical and experimental misalignment angle distributions. Two alternative strategies could be used for the optimization procedure, based on the minimization of the standard error of the likelihood or probability, respectively, whose pros and cons are discussed. Finally, micromechanical modelling in tension and compression are reported, and the influence of the fibre misalignment angle distribution is assessed.

Original language	English
Title of host publication	Multi-Scale Continuum Mechanics Modelling of Fibre-Reinforced Polymer Composites
Editors	Wim Van Paepegem
Publisher	Elsevier
Pages	349-378
ISBN (Electronic)	978-0-12-818984-9
DOIs	https://doi.org/10.1016/B978-0-12-818984-9.00012-3
Publication status	Published - 2020

Keywords

Computational micromechanics
Fibre kinking
Fibre waviness
Longitudinal failure
Polymer-matrix composites (PMCs)

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10.1016/B978-0-12-818984-9.00012-3

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title = "Modelling the longitudinal failure of fibre-reinforced composites at microscale",

abstract = "A micromechanics framework for modelling the longitudinal failure of unidirectional fibre composites, in both tension and compression, is presented. Appropriate constitutive models are used for the different constituents (i.e., fibre and matrix) and interfaces. An algorithm for the generation of the fibre misalignment is reported. It combines a stochastic process with an optimization procedure in order to match the numerical and experimental misalignment angle distributions. Two alternative strategies could be used for the optimization procedure, based on the minimization of the standard error of the likelihood or probability, respectively, whose pros and cons are discussed. Finally, micromechanical modelling in tension and compression are reported, and the influence of the fibre misalignment angle distribution is assessed.",

keywords = "Computational micromechanics, Fibre kinking, Fibre waviness, Longitudinal failure, Polymer-matrix composites (PMCs)",

author = "G. Catalanotti and Varandas, {L. F.} and Melro, {Ant{\'o}nio R.} and Sebaey, {T. A.} and Bessa, {M. A.} and Falzon, {B. G.}",

year = "2020",

doi = "10.1016/B978-0-12-818984-9.00012-3",

language = "English",

pages = "349--378",

editor = "{Van Paepegem}, {Wim }",

booktitle = "Multi-Scale Continuum Mechanics Modelling of Fibre-Reinforced Polymer Composites",

publisher = "Elsevier",

}

Modelling the longitudinal failure of fibre-reinforced composites at microscale. / Catalanotti, G.; Varandas, L. F.; Melro, António R. et al.
Multi-Scale Continuum Mechanics Modelling of Fibre-Reinforced Polymer Composites. ed. / Wim Van Paepegem. Elsevier, 2020. p. 349-378.

Research output: Chapter in Book/Conference proceedings/Edited volume › Chapter › Scientific › peer-review

TY - CHAP

T1 - Modelling the longitudinal failure of fibre-reinforced composites at microscale

AU - Catalanotti, G.

AU - Varandas, L. F.

AU - Melro, António R.

AU - Sebaey, T. A.

AU - Bessa, M. A.

AU - Falzon, B. G.

PY - 2020

Y1 - 2020

N2 - A micromechanics framework for modelling the longitudinal failure of unidirectional fibre composites, in both tension and compression, is presented. Appropriate constitutive models are used for the different constituents (i.e., fibre and matrix) and interfaces. An algorithm for the generation of the fibre misalignment is reported. It combines a stochastic process with an optimization procedure in order to match the numerical and experimental misalignment angle distributions. Two alternative strategies could be used for the optimization procedure, based on the minimization of the standard error of the likelihood or probability, respectively, whose pros and cons are discussed. Finally, micromechanical modelling in tension and compression are reported, and the influence of the fibre misalignment angle distribution is assessed.

AB - A micromechanics framework for modelling the longitudinal failure of unidirectional fibre composites, in both tension and compression, is presented. Appropriate constitutive models are used for the different constituents (i.e., fibre and matrix) and interfaces. An algorithm for the generation of the fibre misalignment is reported. It combines a stochastic process with an optimization procedure in order to match the numerical and experimental misalignment angle distributions. Two alternative strategies could be used for the optimization procedure, based on the minimization of the standard error of the likelihood or probability, respectively, whose pros and cons are discussed. Finally, micromechanical modelling in tension and compression are reported, and the influence of the fibre misalignment angle distribution is assessed.

KW - Computational micromechanics

KW - Fibre kinking

KW - Fibre waviness

KW - Longitudinal failure

KW - Polymer-matrix composites (PMCs)

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U2 - 10.1016/B978-0-12-818984-9.00012-3

DO - 10.1016/B978-0-12-818984-9.00012-3

M3 - Chapter

AN - SCOPUS:85126424302

SP - 349

EP - 378

BT - Multi-Scale Continuum Mechanics Modelling of Fibre-Reinforced Polymer Composites

A2 - Van Paepegem, Wim

PB - Elsevier

ER -

Modelling the longitudinal failure of fibre-reinforced composites at microscale

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Keywords

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