2018
DOI: 10.1016/j.nonrwa.2017.09.006
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Thermo-visco-elasticity for Norton–Hoff-type models with homogeneous thermal expansion

Abstract: In this work we study a quasi-static evolution of thermo-visco-elastic model with homogeneous thermal expansion. We assume that material is subject to two kinds of mechanical deformations: elastic and inelastic. Inelastic deformation is related to a hardening rule of Norton-Hoff type. Appearance of inelastic deformation causes transformation of mechanical energy into thermal one, hence we also take into the consideration changes of material's temperature.The novelty of this paper is to take into account the th… Show more

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Cited by 3 publications
(12 citation statements)
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References 34 publications
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“…Additionally, solutions were obtained only in the renormalised sense. In works [28,29,34] and [27], Gwiazda et al proposed a very complicated two-level Galerkin approximation for the visco-elastic strain tensor. With the help of this approximation, they were able to consider a flow rules which depends on the temperature.…”
Section: Theorem 13 (Main Result)mentioning
confidence: 99%
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“…Additionally, solutions were obtained only in the renormalised sense. In works [28,29,34] and [27], Gwiazda et al proposed a very complicated two-level Galerkin approximation for the visco-elastic strain tensor. With the help of this approximation, they were able to consider a flow rules which depends on the temperature.…”
Section: Theorem 13 (Main Result)mentioning
confidence: 99%
“…The standard unknowns in this theory are the displacement field u : Ω × [0, T] → R 3 and the stress tensor σ : Ω × [0, T] → S 3 , where S 3 denotes the set of symmetric 3 × 3-matrices. A very popular description is described in Alber's book [1], which was very often used in recent years, see for example [2,17,23,27,29,43]. In this approach the inelastic part of the infinitesimal strain tensor ε(u) = sym(∇ x u) is described by an additional internal variable ε p i.e.…”
Section: Introduction 1description Of the Problemmentioning
confidence: 99%
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