Evaluating the effectiveness of 2D uniform network models in capturing hydrogel mechanical behaviour
Hydrogels are three-dimensional polymer networks that absorb water and exhibit unique mechanical properties, making them highly suitable materials for a range of biomedical and engineering applications. However, the soft and brittle nature of hydrogels restricts their tolerance under cyclic loadin...
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sg-ntu-dr.10356-1768702024-05-25T16:50:24Z Evaluating the effectiveness of 2D uniform network models in capturing hydrogel mechanical behaviour Cho, Keith Li Hua School of Mechanical and Aerospace Engineering LiHua@ntu.edu.sg Engineering Hydrogel Simulation Graph theory Hydrogels are three-dimensional polymer networks that absorb water and exhibit unique mechanical properties, making them highly suitable materials for a range of biomedical and engineering applications. However, the soft and brittle nature of hydrogels restricts their tolerance under cyclic loading and deformation, presenting challenges in modelling their mechanical behaviour. The goal of this study to construct a robust polymer network model that more accurately simulates the mechanical properties and deformation of hydrogels as compared to constitutive models based on classical continuum mechanics. A mesoscopic network mechanics approach is used to generate two-dimensional uniform network models in Abaqus CAE. The models are then processed in MATLAB, where graph theory measures are applied to evaluate network robustness and connectivity. The results demonstrate that as deformation increases, the global efficiency of the hydrogel network generally decreases, while local efficiency exhibits a more complex behavior depending on the balance between the disruption of local connections and the potential for local reorganization. This project hopes to contribute to the development of more reliable predictive models for hydrogel mechanics and facilitate the design of advanced hydrogel-based materials and devices. The combination of Abaqus CAE for model generation and MATLAB for network analysis using graph theory measures offers a comprehensive framework for future research in this field. Bachelor's degree 2024-05-20T07:39:58Z 2024-05-20T07:39:58Z 2024 Final Year Project (FYP) Cho, K. (2024). Evaluating the effectiveness of 2D uniform network models in capturing hydrogel mechanical behaviour. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176870 https://hdl.handle.net/10356/176870 en application/pdf Nanyang Technological University |
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Engineering Hydrogel Simulation Graph theory Cho, Keith Evaluating the effectiveness of 2D uniform network models in capturing hydrogel mechanical behaviour |
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Hydrogels are three-dimensional polymer networks that absorb water and exhibit unique mechanical properties, making them highly suitable materials for a range of biomedical and engineering
applications. However, the soft and brittle nature of hydrogels restricts their tolerance under
cyclic loading and deformation, presenting challenges in modelling their mechanical behaviour.
The goal of this study to construct a robust polymer network model that more accurately simulates the mechanical properties and deformation of hydrogels as compared to constitutive models
based on classical continuum mechanics.
A mesoscopic network mechanics approach is used to generate two-dimensional uniform network models in Abaqus CAE. The models are then processed in MATLAB, where graph theory
measures are applied to evaluate network robustness and connectivity. The results demonstrate
that as deformation increases, the global efficiency of the hydrogel network generally decreases,
while local efficiency exhibits a more complex behavior depending on the balance between the
disruption of local connections and the potential for local reorganization. This project hopes
to contribute to the development of more reliable predictive models for hydrogel mechanics
and facilitate the design of advanced hydrogel-based materials and devices. The combination
of Abaqus CAE for model generation and MATLAB for network analysis using graph theory
measures offers a comprehensive framework for future research in this field. |
author2 |
Li Hua |
author_facet |
Li Hua Cho, Keith |
format |
Final Year Project |
author |
Cho, Keith |
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Cho, Keith |
title |
Evaluating the effectiveness of 2D uniform network models in capturing hydrogel mechanical behaviour |
title_short |
Evaluating the effectiveness of 2D uniform network models in capturing hydrogel mechanical behaviour |
title_full |
Evaluating the effectiveness of 2D uniform network models in capturing hydrogel mechanical behaviour |
title_fullStr |
Evaluating the effectiveness of 2D uniform network models in capturing hydrogel mechanical behaviour |
title_full_unstemmed |
Evaluating the effectiveness of 2D uniform network models in capturing hydrogel mechanical behaviour |
title_sort |
evaluating the effectiveness of 2d uniform network models in capturing hydrogel mechanical behaviour |
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Nanyang Technological University |
publishDate |
2024 |
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https://hdl.handle.net/10356/176870 |
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1800916211833241600 |