2017
DOI: 10.1002/nme.5724
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Efficient time stepping for the multiplicative Maxwell fluid including the Mooney‐Rivlin hyperelasticity

Abstract: A popular version of the finite-strain Maxwell fluid is considered, which is based on the multiplicative decomposition of the deformation gradient tensor. The model combines Newtonian viscosity with hyperelasticity of the Mooney-Rivlin type; it is a special case of the viscoplasticity model proposed by Simo and Miehe in 1992. A simple, efficient, and robust implicit time-stepping procedure is suggested. Lagrangian and Eulerian versions of the algorithm are available, with equivalent properties. The numerical s… Show more

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Cited by 20 publications
(9 citation statements)
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“…Robust and efficient numerical procedures for the case where ψkin1 and ψkin2 are of neo‐Hookean type are presented in []. The case where ψkin1 and ψkin2 are of Mooney‐Rivlin type can be dealt with using an explicit update formula from []. The model is implemented into the nonlinear FEM‐code MSC.MARC.…”
Section: Illustration Problem: Model With Combined Isotropic‐kinematimentioning
confidence: 99%
“…Robust and efficient numerical procedures for the case where ψkin1 and ψkin2 are of neo‐Hookean type are presented in []. The case where ψkin1 and ψkin2 are of Mooney‐Rivlin type can be dealt with using an explicit update formula from []. The model is implemented into the nonlinear FEM‐code MSC.MARC.…”
Section: Illustration Problem: Model With Combined Isotropic‐kinematimentioning
confidence: 99%
“…In particular, as . A non-iterational generalization of this formula to cover the energy storage of the Mooney-Rivlin type is presented in Reference [ 53 ].…”
Section: Methodsmentioning
confidence: 99%
“…The use of the spline-based strain energy functions is discussed in [17]. Efficient numerics for the Mooney-Rivlin elastic potential is described in [34].…”
Section: Constitutive Equationsmentioning
confidence: 99%
“…A significant aspect of the w-invariance is the transformations of initial conditions for plastic strains (see [38] for a general discussion of w-invariance). Another important implication of the w-invariance is that it allows us to build efficient computational algorithms [33,34].…”
Section: Introductionmentioning
confidence: 99%