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Thesis

Micromechanical modelling of rubbery networks: discrete and continuum approaches

Abstract:
Many soft materials consist of rubbery networks of polymer chains held together by crosslinks. These materials can undergo large elastic deformations, making them attractive to engineering, biomedical and consumer applications. Their mechanical response is intimately linked to the architecture of the underlying network. Consequently, understanding and predicting their behaviour requires models that account for their microstructure. This thesis contributes to this goal through the development of a comprehensive micromechanical modelling framework that combines discrete network (DN) simulations with continuum theories, enabling systematic investigations of elasticity, failure, and chemical degradation in rubber-like materials. In elasticity, we use DN simulations to link network structure to macroscopic mechanical properties, identifying the distribution of initial chain end-to-end distances as a key factor. Using DN results as a reference, we further show that many of the underlying assumptions of continuum micromechanics models do not hold. In modelling failure, the DN model augmented with deterministic chain scission reveals that damage is a localised process significantly impacted by local microstructural heterogeneities. Our results also show that classical semi-analytical estimates cannot predict failure in DNs. In chemical degradation, our DN model combined with stochastic chain scission shows that force-biased chain cleavage accelerates degradation, a feature captured by the continuum model we proposed. However, DN simulations reveal additional effects that cannot be reproduced by the continuum model, such as anisotropic damage and more severe deterioration of elastic properties as scissions become increasingly force-biased. Altogether, this thesis gives fresh insights into the mechanics of rubbery networks, important for the development of constitutive theories with improved predictive capabilities.

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Research group:
SMEG
Oxford college:
Jesus College
Role:
Author

Contributors

Institution:
Utrecht University
Role:
Contributor
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Research group:
SMEG
Oxford college:
Christ Church
Role:
Supervisor


More from this funder
Programme:
Clarendon Fund Scholarship in partnership with the Jesus College Old Members Award


DOI:
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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