| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Ullah, Zahur
Durham University
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (23/23 displayed)
- 2024Effects of ply hybridisation on delamination in hybrid laminates at CorTen steel/M79LT-UD600 composite interfaces
- 2024Experimental and numerical investigation of fracture characteristics in hybrid steel/composite and monolithic angle-ply laminates
- 2024Finite fracture mechanics fracture criterion for free edge delamination
- 2023A three-dimensional Finite Fracture Mechanics model for predicting free edge delamination
- 2023A computational framework for crack propagation along contact interfaces and surfaces under loadcitations
- 2023Three-dimensional semi-analytical investigation of interlaminar stresses in composite laminates
- 2023Maritime applications of fibre reinforced polymer composites
- 2023A semi-analytical method for measuring the strain energy release rates of elliptical cracks
- 2023Studies on the impact and compression-after-impact response of ‘Double-Double’ carbon-fibre reinforced composite laminates
- 2023Failure analysis of unidirectional composites under longitudinal compression considering defects
- 2023Exploring the elastic properties of woven fabric composites: a machine learning approach for improved analysis and designcitations
- 2021On the importance of finite element mesh alignment along the fibre direction for modelling damage in fibre-reinforced polymer composite laminatescitations
- 2020Hierarchical finite element-based multi-scale modelling of composite laminatescitations
- 2020Investigation of the free-edge stresses in composite laminates using three-dimensional hierarchic finite elements
- 2020A three-dimensional hierarchic finite element-based computational framework for the analysis of composite laminatescitations
- 2019A unified framework for the multi-scale computational homogenisation of 3D-textile compositescitations
- 2018Mortar Contact Formulation Using Smooth Active Set Strategy Applied to 3D Crack Propagation
- 2018Multiscale Computational Homogenisation of 3D Textile-based Fiber Reinforced Polymer Composites
- 2017Multi-scale Computational Homogenisation to Predict the Long-Term Durability of Composite Structures.citations
- 2016Multi-Scale Computational Homogenisation of the Fibre-Reinforced Polymer Composites Including Matrix Damage and Fibre-Matrix Decohesion
- 2015Hierarchical Finite Element Based Multiscale Computational Homogenisation of Coupled Hygro-Mechanical Analysis for Fibre-Reinforced Polymers
- 2015Multiscale computational homogenisation to predict the long-term durability of composite structures
- 2014Computational homogenisation of fibre reinforced composites
Places of action
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document
Exploring the elastic properties of woven fabric composites: a machine learning approach for improved analysis and design
Abstract
Woven fabric reinforced plastic composites are highly favoured in the aerospace and automotive industries for their exceptional impact resistance and ease of manufacture. To design and analyse these structures, it is crucial to determine their elastic properties of woven fabric composites, which can be estimated through analytical, numerical, or experimental means. In this study, we propose a novel approach that combines machine learning techniques with finite-element methods based multi-scaling analysis methodology to predict the elastic behaviour of woven composites. The method leverages datasets generated from finite element methods based numerical simulations and literature to train and validate models, providing a cost-effective and computationally efficient alternative to conventional homogenization-based finite element method. The approach offers a promising solution to accurately predicting the elastic behaviour of woven fabric composites.<br/><br/>