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Efficient numerics for the analysis of fibre-reinforced composites subjected to large viscoplastic strains. / Shutov, Alexey V.; Tagiltsev, Igor I.

Advanced Structured Materials. Springer-Verlag GmbH and Co. KG, 2019. p. 367-380 (Advanced Structured Materials; Vol. 100).

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Harvard

Shutov, AV & Tagiltsev, II 2019, Efficient numerics for the analysis of fibre-reinforced composites subjected to large viscoplastic strains. in Advanced Structured Materials. Advanced Structured Materials, vol. 100, Springer-Verlag GmbH and Co. KG, pp. 367-380. https://doi.org/10.1007/978-3-030-30355-6_15

APA

Shutov, A. V., & Tagiltsev, I. I. (2019). Efficient numerics for the analysis of fibre-reinforced composites subjected to large viscoplastic strains. In Advanced Structured Materials (pp. 367-380). (Advanced Structured Materials; Vol. 100). Springer-Verlag GmbH and Co. KG. https://doi.org/10.1007/978-3-030-30355-6_15

Vancouver

Shutov AV, Tagiltsev II. Efficient numerics for the analysis of fibre-reinforced composites subjected to large viscoplastic strains. In Advanced Structured Materials. Springer-Verlag GmbH and Co. KG. 2019. p. 367-380. (Advanced Structured Materials). doi: 10.1007/978-3-030-30355-6_15

Author

Shutov, Alexey V. ; Tagiltsev, Igor I. / Efficient numerics for the analysis of fibre-reinforced composites subjected to large viscoplastic strains. Advanced Structured Materials. Springer-Verlag GmbH and Co. KG, 2019. pp. 367-380 (Advanced Structured Materials).

BibTeX

@inbook{e2cf57952c4e4d7c89af2e9cd0effb8d,
title = "Efficient numerics for the analysis of fibre-reinforced composites subjected to large viscoplastic strains",
abstract = "Fibre-reinforced composites which sustain large multi-axial inelastic strains are of great importance for modern engineering. Besides, numerous biological soft tissues like blood vessels and heart valves as well as their artificial substitutes can be idealized as fibre-reinforced composites as well. Therefore, there is a growing demand for sufficiently accurate and numerically efficient modelling approaches which can reproduce the mechanical behaviour of such materials. In the current study we focus on the phenomenological material modelling and the related numerics. The kinematics of inelastic body is based on the well-proven multiplicative decomposition of the deformation gradient in combination with hyperelastic relations between stresses and elastic strains. An efficient numerical algorithm is suggested for the implementation of a phenomenological material model which accounts for the plasticity both in matrix and fibre. The performance of the algorithm is tested and its applicability is exemplified in terms of a demonstration problem.",
keywords = "Efficient numerics, Elasto-visco-plasticity, Fibre-reinforced composite, Large strain",
author = "Shutov, {Alexey V.} and Tagiltsev, {Igor I.}",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.",
year = "2019",
month = jan,
day = "1",
doi = "10.1007/978-3-030-30355-6_15",
language = "English",
isbn = "978-3-030-30354-9",
series = "Advanced Structured Materials",
publisher = "Springer-Verlag GmbH and Co. KG",
pages = "367--380",
booktitle = "Advanced Structured Materials",
address = "Germany",

}

RIS

TY - CHAP

T1 - Efficient numerics for the analysis of fibre-reinforced composites subjected to large viscoplastic strains

AU - Shutov, Alexey V.

AU - Tagiltsev, Igor I.

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2019. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Fibre-reinforced composites which sustain large multi-axial inelastic strains are of great importance for modern engineering. Besides, numerous biological soft tissues like blood vessels and heart valves as well as their artificial substitutes can be idealized as fibre-reinforced composites as well. Therefore, there is a growing demand for sufficiently accurate and numerically efficient modelling approaches which can reproduce the mechanical behaviour of such materials. In the current study we focus on the phenomenological material modelling and the related numerics. The kinematics of inelastic body is based on the well-proven multiplicative decomposition of the deformation gradient in combination with hyperelastic relations between stresses and elastic strains. An efficient numerical algorithm is suggested for the implementation of a phenomenological material model which accounts for the plasticity both in matrix and fibre. The performance of the algorithm is tested and its applicability is exemplified in terms of a demonstration problem.

AB - Fibre-reinforced composites which sustain large multi-axial inelastic strains are of great importance for modern engineering. Besides, numerous biological soft tissues like blood vessels and heart valves as well as their artificial substitutes can be idealized as fibre-reinforced composites as well. Therefore, there is a growing demand for sufficiently accurate and numerically efficient modelling approaches which can reproduce the mechanical behaviour of such materials. In the current study we focus on the phenomenological material modelling and the related numerics. The kinematics of inelastic body is based on the well-proven multiplicative decomposition of the deformation gradient in combination with hyperelastic relations between stresses and elastic strains. An efficient numerical algorithm is suggested for the implementation of a phenomenological material model which accounts for the plasticity both in matrix and fibre. The performance of the algorithm is tested and its applicability is exemplified in terms of a demonstration problem.

KW - Efficient numerics

KW - Elasto-visco-plasticity

KW - Fibre-reinforced composite

KW - Large strain

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U2 - 10.1007/978-3-030-30355-6_15

DO - 10.1007/978-3-030-30355-6_15

M3 - Chapter

AN - SCOPUS:85074698094

SN - 978-3-030-30354-9

T3 - Advanced Structured Materials

SP - 367

EP - 380

BT - Advanced Structured Materials

PB - Springer-Verlag GmbH and Co. KG

ER -

ID: 22362347