2015
DOI: 10.1016/j.jmps.2015.04.012
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Filled elastomers: A theory of filler reinforcement based on hydrodynamic and interphasial effects

Abstract: Experimental evidence has by now established that i) the hydrodynamic effect and ii) the presence of stiff interphases (commonly referred to as bound rubber) "bonding" the underlying elastomer to the fillers are the dominant microscopic mechanisms typically responsible for the enhanced macroscopic stiffness of filled elastomers. Yet, because of the technical difficulties of dealing with these fine-scale effects within the realm of finite deformations, the theoretical reproduction of the macroscopic mechanical … Show more

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Cited by 53 publications
(33 citation statements)
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“…28,29,30,31,32,33) are all positive and increasing in a convex manner together with an increasing α (w) . They are always lower than the input coefficient of variation and increase their magnitude together with an increase of E (w) .…”
Section: Probabilistic Computations Using the Isfemmentioning
confidence: 99%
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“…28,29,30,31,32,33) are all positive and increasing in a convex manner together with an increasing α (w) . They are always lower than the input coefficient of variation and increase their magnitude together with an increase of E (w) .…”
Section: Probabilistic Computations Using the Isfemmentioning
confidence: 99%
“…RVEs have dimensions of [3δ, 3δ, 3δ], where δ is unit interval and they are composed of a polymeric matrix, a spherical carbon black C 60 particle and an interphase of constant thickness in between these two materials. Particle location is chosen in an accidental way and numerical algorithms presented in [31] or [32] are omitted here principally because this study focuses on an anisotropic representation of the homogenized composite and its impact on the effective tensor. A number of the particles representing an internal structure of the composite has been chosen as 27 because (1) it ensures the best balance between quality of its internal composition and mesh quality limited by the computational resources, (2) it allows adequate representation of internal structure in cubic composite and (3) it is very close to the number of monodisperse particle chosen in other studies [32].…”
Section: Deterministic Computational Analysismentioning
confidence: 99%
“…For the most generality, we consider the particles to be polydisperse, represented through three families of particle sizes [27]. The particle locations are generated using a constrained adsorption algorithm [31,27,18]. The procedure we use to generate the polydisperse microstructures is as follows:…”
Section: Multi-particle Microstructurementioning
confidence: 99%
“…In this investigation, we set N p ¼ 10 such that the RUC contains a total of 80 particles [18]. Figs.…”
Section: Multi-particle Microstructurementioning
confidence: 99%
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