Application of network robustness in the analysis of a mesoscopic random hydrogel polymer network using MATLAB

In this study, the application of network robustness to analyse the fracture of a mesoscopic random polymer network model of a hydrogel is suggested. The aim of the study was to investigate the feasibility of using the network robustness method to gain insights into the fracture of a hydrogel. The u...

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Main Author: Goh, Chervan
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/10356/176858
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spelling sg-ntu-dr.10356-1768582024-05-25T16:49:51Z Application of network robustness in the analysis of a mesoscopic random hydrogel polymer network using MATLAB Goh, Chervan Li Hua School of Mechanical and Aerospace Engineering LiHua@ntu.edu.sg Engineering Materials Mechanical engineering MATLAB In this study, the application of network robustness to analyse the fracture of a mesoscopic random polymer network model of a hydrogel is suggested. The aim of the study was to investigate the feasibility of using the network robustness method to gain insights into the fracture of a hydrogel. The use of a mesoscopic network mechanics method to study large deformations in elastomers has explored and revealed the reasons behind hydrogel fracture and large crack propagations, which this study intends to work upon and analyse using the network robustness method. Hence, this study aims to investigate the feasibility of applying network robustness to analyse fracture of a mesoscopic random polymer network. The study begins with an introduction to hydrogels, the methods used to study fracture of hydrogels, and simulations and modelling. This is followed by literature review on hydrogel fracture, simulation methods and analysis. The study was done purely on MATLAB where the hydrogel polymer network is generated with a pre-crack, after which it is then subjected to stretching until fracture occurs. Once the fracture has occurred, analysis is then done with the use of network robustness methods, as well as network entropy. At the time of writing, there was no known publication regarding the use of network robustness methods to analyse fracture in a simulation of a polymer network. This study will hopefully contribute to the effort to study hydrogels by providing a new method to study hydrogels under tensile loading. Additionally, the MATLAB code used in this study may present an opportunity to adopt this method into other software such as ABAQUS. Bachelor's degree 2024-05-20T07:17:48Z 2024-05-20T07:17:48Z 2024 Final Year Project (FYP) Goh, C. (2024). Application of network robustness in the analysis of a mesoscopic random hydrogel polymer network using MATLAB. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176858 https://hdl.handle.net/10356/176858 en B142 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
Materials
Mechanical engineering
MATLAB
spellingShingle Engineering
Materials
Mechanical engineering
MATLAB
Goh, Chervan
Application of network robustness in the analysis of a mesoscopic random hydrogel polymer network using MATLAB
description In this study, the application of network robustness to analyse the fracture of a mesoscopic random polymer network model of a hydrogel is suggested. The aim of the study was to investigate the feasibility of using the network robustness method to gain insights into the fracture of a hydrogel. The use of a mesoscopic network mechanics method to study large deformations in elastomers has explored and revealed the reasons behind hydrogel fracture and large crack propagations, which this study intends to work upon and analyse using the network robustness method. Hence, this study aims to investigate the feasibility of applying network robustness to analyse fracture of a mesoscopic random polymer network. The study begins with an introduction to hydrogels, the methods used to study fracture of hydrogels, and simulations and modelling. This is followed by literature review on hydrogel fracture, simulation methods and analysis. The study was done purely on MATLAB where the hydrogel polymer network is generated with a pre-crack, after which it is then subjected to stretching until fracture occurs. Once the fracture has occurred, analysis is then done with the use of network robustness methods, as well as network entropy. At the time of writing, there was no known publication regarding the use of network robustness methods to analyse fracture in a simulation of a polymer network. This study will hopefully contribute to the effort to study hydrogels by providing a new method to study hydrogels under tensile loading. Additionally, the MATLAB code used in this study may present an opportunity to adopt this method into other software such as ABAQUS.
author2 Li Hua
author_facet Li Hua
Goh, Chervan
format Final Year Project
author Goh, Chervan
author_sort Goh, Chervan
title Application of network robustness in the analysis of a mesoscopic random hydrogel polymer network using MATLAB
title_short Application of network robustness in the analysis of a mesoscopic random hydrogel polymer network using MATLAB
title_full Application of network robustness in the analysis of a mesoscopic random hydrogel polymer network using MATLAB
title_fullStr Application of network robustness in the analysis of a mesoscopic random hydrogel polymer network using MATLAB
title_full_unstemmed Application of network robustness in the analysis of a mesoscopic random hydrogel polymer network using MATLAB
title_sort application of network robustness in the analysis of a mesoscopic random hydrogel polymer network using matlab
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/176858
_version_ 1800916211650789376