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On tube models of rubber elasticity: fitting performance in relation to sensitivity to the invariant I2

Gordon Kumar, Laurence Brassart

2023Mechanics Of Soft Materials12 citationsDOIOpen Access PDF

Abstract

Abstract This study investigates the capability of micromechanical models of rubber elasticity to predict the deformation behaviour of soft materials under various modes of deformation. The free energy of individual chains is decomposed into a freely fluctuating chain contribution and a tube contribution representing topological constraints. Full-network averaging over all chain orientations is considered, along with three-chain and eight-chain approximations. The performance of various tube formulations is analysed in relation to their implicit (or in some cases explicit) dependence on the second invariant I 2 . We show that micromechanical models that involve the area-stretch of the macroscale continuum lead to I 2 dependence when combined with the full-network averaging scheme, whereas micromechanical models that only involve the line-stretch of the continuum show much weaker I 2 sensitivity. However, I 2 sensitivity can emerge from line-stretch–based micromechanical models when three-chain averaging is used. Comparisons between model predictions and experimental data confirm the direct correlation between strong I 2 sensitivity and fitting performance. Overall, our study suggests that micromechanical models of rubber elasticity should involve both the line-stretch and the area-stretch to elicit I 2 -dependent behaviour and reproduce experimental trends.

Topics & Concepts

Elasticity (physics)Rubber elasticityStatistical physicsNatural rubberSensitivity (control systems)Invariant (physics)MechanicsChain (unit)Materials sciencePhysicsMathematicsThermodynamicsEngineeringComposite materialAstronomyMathematical physicsElectronic engineeringElasticity and Material ModelingForce Microscopy Techniques and ApplicationsComposite Material Mechanics
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