Mechanical response of double-network gels with dynamic bonds under multi-cycle deformation. (15th August 2018)

• Record Type: Journal Article
• Authors: Drozdov, A.D.; deClaville Christiansen, J.
• Is Part Of: Polymer. Volume 150(2018)
• Page Start: 95
• Page End: 108
• Publication Date: 2018-08-15
• Subjects: Double-network gel -- Cyclic deformation -- Mullins effect -- Modeling; Polymers -- Periodicals; Polymerization -- Periodicals; Polymères -- Périodiques; Polymérisation -- Périodiques; 547.7
• DOI: 10.1016/j.polymer.2018.07.020
• Languages: English
• ISSNs: 0032-3861

Abstract

Abstract: Mechanical behavior of double-network (DN) gels with covalent and non-covalent bonds under multi-cycle loading depends strongly on time, strain rate and deformation program. A model is developed for the viscoelastic and viscoplastic responses of a polymer network with permanent and temporary junctions. Viscoelasticity is modeled as breakage and reformation of temporary bonds driven by thermal fluctuations. Viscoplasticity is treated as sliding of permanent junctions with respect to their initial positions in the network. Slippage occurs when a junction becomes unbalanced due to transition of a chain linked by this junction from its active state into the dangling state. Analysis of observations in tensile tests with various strain rates, relaxation tests, loading-unloading tests, and multi-cycle tests with various deformation programs on a series of DN gels shows that the experimental stress–strain diagrams are described correctly by the governing equations, material parameters evolve consistently with experimental conditions, and predictions of the model are in quantitative (where sufficient data are provided) and qualitative agreement with experimental data. In particular, numerical simulation demonstrates the ability of the model to describe the Mullins effect in DN gels. Graphical abstract: Image 1 Highlights: A model is derived for the behavior of DN gels under multi-cycle deformation. Good agreement is revealed between observations and results of numerical analysis. The ability of the model to predict the Mullins effect is confirmed by simulation.