Numerical methods for multiscale modelling of fibre composites
Doktorsavhandling, 2024

Fibre composite materials are inherently heterogeneous, often characterised by a complex internal substructure that includes various material phases and interfaces. The intricate substructure, at both the microscale and mesoscale, gives rise to a wide range of damage mechanisms that grow and propagate before they eventually manifest at the macroscale. To accurately capture and predict fibre composite behaviour at the macroscale, a comprehensive multiscale approach which includes information from the subscale is essential. This thesis addresses key challenges for multiscale modelling of fibre composites, focusing on the development of numerical methods at the macroscale, mesoscale, and the coupling between them.

In order to incorporate information from the mesoscale into the model at the macroscale, we develop a two-scale computational homogenisation framework. As fibre composites are often used in thin-ply applications, the homogenisation framework is developed for plate elements, specifically plates with Reissner–Mindlin kinematics. Moreover, a vital part for any effective homogenisation framework is to establish accurate prolongation and homogenisation constraints. To this end, we demonstrate how Variationally Consistent Homogenisation (VCH) can be employed to derive constraints which link the mesoscale and macroscale in a kinematically consistent manner.

At the macroscale, we address the challenges related to efficient and robust modelling of delamination in multilayered composites. Current state-of-the-art modelling techniques typically resolve each individual layer using multiple solid elements in conjunction with cohesive zone elements at the laminae interfaces, which results in computationally demanding models. In response to this, we develop an isogeometric shell element which can adaptively refine its through-thickness discretisation in areas where delamination is active. Thereby, the computational effort is kept low. To address the convergence issues typically encountered when simulating brittle delamination, we develop an arc-length solver that is augmented with the dissipation rate of the system. In this manner, we are able to trace the initiation and propagation of multiple delamination in a robust manner.

For accurate mesoscale modelling, it is crucial to include a detailed representation of the geometry and material constituents (fibre and matrix phases). However, incorporating high levels of geometric detail of the mesoscale structure presents significant challenges for meshing software, as it complicates the generation of good quality meshes. To address these challenges, we investigate the use of Immersed Boundary Methods, whose primary advantage is the automation of the discretisation process. We propose a modelling framework that streamlines the discretisation process for mesoscale models, demonstrating its ability to homogenise stiffness properties and accurately predict the subscale stress field.

Isogeometric Analysis

Immersed Boundary Methods

Finite Cell Method

Mesoscale modelling

Multiscale Modelling

Path-following solver

Fibre Composites

Virtual Development Lab (VDL), Chalmers Tvärgata 4C
Opponent: Prof. Alessandro Reali, University of Pavia, Italy

Författare

Elias Börjesson

Chalmers, Industri- och materialvetenskap, Material- och beräkningsmekanik

Variationally consistent homogenisation of plates

Computer Methods in Applied Mechanics and Engineering,;Vol. 413(2023)

Artikel i vetenskaplig tidskrift

A generalised path-following solver for robust analysis of material failure

Computational Mechanics,;Vol. 70(2022)p. 437-450

Artikel i vetenskaplig tidskrift

Meso-scale modelling of complex fibre composite geometries using an immersed boundary method

Finite Elements in Analysis and Design,;Vol. 242(2024)

Artikel i vetenskaplig tidskrift

Designing lightweight structures is key in industries like aerospace, automotive, and sports technology. One of the most promising materials in this area is fibre reinforced composites, which combine strong fibres (for example carbon or glass) with a binding polymer (for example epoxy). These composites offer great advantages; they are not only strong and light but can also be tailored for specific needs, making them ideal for building everything from airplane wings to high-performance sports equipment.

Despite their benefits, fibre reinforced composites present complex challenges when it comes to accurately simulating their behaviour when subjected to loads or deformations. Engineers rely on computer simulations to predict how materials will perform, but the intricate nature of fibre composites, with their various failure modes like cracking or delamination, makes it difficult to model them efficiently and accurately. This complexity is particularly pronounced at smaller scales, where the arrangement of fibres and the surrounding matrix can significantly affect the material’s overall performance.

Research into improving these simulations is crucial for making fibre composites a more widely adopted material. This thesis focuses on creating better models that connect both the large-scale (macro) and small-scale (meso and micro) behaviour of these materials, aiming to provide insights that could help engineers design stronger, lighter, and more efficient composite structures for the future.

Flerskalig isogeometrisk modellering av skadeprocesser i textila fiberkompositer med tunna skikt

Vetenskapsrådet (VR) (2018-05345), 2019-01-01 -- 2022-12-31.

LIGHTer Academy Etapp 3

VINNOVA (2020-04526), 2024-02-05 -- 2025-12-31.

Ämneskategorier

Teknisk mekanik

Kompositmaterial och -teknik

Infrastruktur

C3SE (Chalmers Centre for Computational Science and Engineering)

Chalmers e-Commons

Styrkeområden

Materialvetenskap

ISBN

978-91-8103-117-1

Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 5575

Utgivare

Chalmers

Virtual Development Lab (VDL), Chalmers Tvärgata 4C

Online

Opponent: Prof. Alessandro Reali, University of Pavia, Italy

Mer information

Senast uppdaterat

2024-11-07