Macroscale Modelling of 3D-Woven Composites: Inelasticity, Progressive Damage and Final Failure
Doctoral thesis, 2022
In terms of computational efficiency, the most promising choice is to treat the material as a homogeneous and anisotropic solid. This is referred to as a macroscale model. Developing a macroscale model, which can predict how 3D-woven composites deform and eventually fail, is the main focus of this work. Particular attention is given to predicting the relevant non-linear behaviours that lead to energy absorption.
A framework for modelling the mechanical response of 3D-woven composites on the macroscale is presented. The proposed framework decomposes the stress and strain tensors into two main parts motivated by the material architecture. This allows for a convenient separation of the modelling of the shear behaviour from the modelling of the behaviour along each of the reinforcement directions. In particular, this division allows for a straightforward addition and modification of various non-linear phenomena observed in 3D-woven composites. As a next step, material modelling approaches are considered and added to the framework in order to capture these non-linear phenomena. This includes the use of a viscoelastic model as well as a combined elasto-plastic and continuum damage model to capture the development of permanent deformations and stiffness reduction mechanisms. Finally, an anisotropic phase-field model extension is developed in order to induce local softening and failure in a way which does not induce spurious mesh-dependencies in finite element analyses. The model predictions are compared to experimental tests and show good agreement.
The aim has been to develop a model that allows the constitutive relations to be identified directly from uniaxial cyclic stress-strain tests without the need for complex calibration schemes. However, characterising the out-of-plane behaviour is not trivial. Therefore, the current work also explores the use of high-fidelity mesoscale models as an additional source of data for model calibration and validation.
3D-woven composites
Anisotropy
Damage
Inelasticity
Phase-field
Failure
Author
Carolyn Oddy
Chalmers, Industrial and Materials Science, Material and Computational Mechanics
Predicting damage initiation in 3D fibre-reinforced composites – The case for strain-based criteria
Composite Structures,;Vol. 230(2019)
Journal article
A framework for macroscale modelling of inelastic deformations in 3D-woven composites
Mechanics of Materials,;Vol. 160(2021)
Journal article
Macroscale modelling of 3D-woven composites: Elasto-plasticity and progressive damage
International Journal of Solids and Structures,;Vol. 250(2022)
Journal article
Oddy, C., Ekh, M., Fagerström, M. Phase-field modelling of failure in 3D-woven composites.
CALIBRATING MACROSCALE MODELS OF 3D-WOVEN COMPOSITES: COMPLEMENTING EXPERIMENTAL TESTING WITH HIGH FIDELITY MESOSCALE MODELS
ECCM 2022 - Proceedings of the 20th European Conference on Composite Materials: Composites Meet Sustainability,;Vol. 4(2022)p. 106-113
Paper in proceeding
Ductile fiber reinforced composites
Swedish Energy Agency (2016-008713), 2016-12-06 -- 2019-12-31.
Subject Categories
Applied Mechanics
Control Engineering
Composite Science and Engineering
ISBN
978-91-7905-683-4
Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 5149
Publisher
Chalmers
Virtual Development Laboratory, Chalmers Tvärgata 4C
Opponent: Frédéric Laurin, The French Aerospace Lab, France