Abstract
3D woven composites are gaining traction in the aerospace industry due to their enhanced mechanical properties. However, their complex internal architectures pose challenges in understanding their behaviour across different length scales. Computational homogenisation techniques emerge as a practical alternative to high-fidelity modelling, facilitating analysis on the structural scale. While the classical first-order homogenisation framework is well-established, it has limitations that are addressed by higher-order approaches such as second-order homogenisation. These advanced approaches incorporate strain gradients and higher-order deformation modes into fine-scale models, proving effective in bending-dominated problems. The current study implements a thick shell-based second-order homogenisation framework to multi-layer 2D and 3D woven composites. It underscores the framework's proficiency in providing accurate constitutive relations for bending components. Through simulation of ASTM standardised tests, comparative studies are conducted for first and second-order homogenisation against high-fidelity models, which not only demonstrates their effectiveness but also identifies their limitations.
| Original language | English |
|---|---|
| Article number | 107736 |
| Journal | Computers and Structures |
| Volume | 312 |
| Early online date | 13 Mar 2025 |
| DOIs | |
| Publication status | Published - 1 May 2025 |
Bibliographical note
Publisher Copyright:© 2025 The Authors.
Keywords
- Multiscale modelling
- Second-order computational homogenisation
- Shell model
- Woven composites
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Dive into the research topics of 'Modelling woven composites with shell elements: An application of second-order computational homogenisation'. Together they form a unique fingerprint.Research output
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- 1 Article (Academic Journal)
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A kinematically consistent second-order computational homogenisation framework for thick shell models
Hii, A. K. W. & Elsaied, B. S. F., 1 Aug 2022, In: Computer Methods in Applied Mechanics and Engineering. 398, 115136.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile18 Citations (Scopus)128 Downloads (Pure)
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