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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Main Author: Cho, Keith
Other Authors: Li Hua
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
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Online Access:https://hdl.handle.net/10356/176870
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Institution: Nanyang Technological University
Language: English
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spelling 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
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering
Hydrogel
Simulation
Graph theory
spellingShingle Engineering
Hydrogel
Simulation
Graph theory
Cho, Keith
Evaluating the effectiveness of 2D uniform network models in capturing hydrogel mechanical behaviour
description 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
author_sort 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
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/176870
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