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Main Authors: Castonguay, Stephen T., Fernandes, Joshua B., Puso, Michael A., Aubry, Sylvie
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2506.20773
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author Castonguay, Stephen T.
Fernandes, Joshua B.
Puso, Michael A.
Aubry, Sylvie
author_facet Castonguay, Stephen T.
Fernandes, Joshua B.
Puso, Michael A.
Aubry, Sylvie
contents An efficient numerical framework is presented for modeling viscoelasticity and permanent set of polymers. It is based on the hereditary integral form of transient network theory, in which polymer chains belong to distinct networks each with different natural equilibrium states. Chains continually detach from previously formed networks and reattach to new networks in a state of zero stress. The free energy of these networks is given in terms of the deformation gradient relative to the configuration at which the network was born. A decomposition of the kernel for various free energies allows for a recurrence relationship to be established, bypassing the need to integrate over all time history. The technique is established for both highly compressible and nearly incompressible materials through the use of neo-Hookean, Blatz-Ko, Yeoh, and Ogden-Hill material models. Multiple examples are presented showing the ability to handle rate-dependent response and residual strains under complex loading histories.
format Preprint
id arxiv_https___arxiv_org_abs_2506_20773
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Hereditary Integral, Transient Network Approach to Modeling Permanent Set and Viscoelastic Response in Polymers
Castonguay, Stephen T.
Fernandes, Joshua B.
Puso, Michael A.
Aubry, Sylvie
Computational Engineering, Finance, and Science
An efficient numerical framework is presented for modeling viscoelasticity and permanent set of polymers. It is based on the hereditary integral form of transient network theory, in which polymer chains belong to distinct networks each with different natural equilibrium states. Chains continually detach from previously formed networks and reattach to new networks in a state of zero stress. The free energy of these networks is given in terms of the deformation gradient relative to the configuration at which the network was born. A decomposition of the kernel for various free energies allows for a recurrence relationship to be established, bypassing the need to integrate over all time history. The technique is established for both highly compressible and nearly incompressible materials through the use of neo-Hookean, Blatz-Ko, Yeoh, and Ogden-Hill material models. Multiple examples are presented showing the ability to handle rate-dependent response and residual strains under complex loading histories.
title A Hereditary Integral, Transient Network Approach to Modeling Permanent Set and Viscoelastic Response in Polymers
topic Computational Engineering, Finance, and Science
url https://arxiv.org/abs/2506.20773