2020
DOI: 10.1016/j.jmps.2019.103777
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Visco-hyperelastic constitutive modeling of strain rate sensitive soft materials

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Cited by 70 publications
(56 citation statements)
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“…The entropy production is assumed to be entirely due to viscous dissipation, and the external thermodynamic state variable is given by C˙ (recall (2.10) in relation to this) so that the nonlinear strain rate dependency of materials is captured. These models have been studied extensively modelling soft tissues such as brain, tongue tissue, tendons and skeletal muscles (see [95] and references therein). In these models, similar to the situation in (3.14), an additive relationship between the elastic (corresponding to the hyperelastic strain energy density) and viscoelastic stress (corresponding to a viscous dissipation potential) is introduced.…”
Section: Applicationsmentioning
confidence: 99%
See 1 more Smart Citation
“…The entropy production is assumed to be entirely due to viscous dissipation, and the external thermodynamic state variable is given by C˙ (recall (2.10) in relation to this) so that the nonlinear strain rate dependency of materials is captured. These models have been studied extensively modelling soft tissues such as brain, tongue tissue, tendons and skeletal muscles (see [95] and references therein). In these models, similar to the situation in (3.14), an additive relationship between the elastic (corresponding to the hyperelastic strain energy density) and viscoelastic stress (corresponding to a viscous dissipation potential) is introduced.…”
Section: Applicationsmentioning
confidence: 99%
“…In these models, similar to the situation in (3.14), an additive relationship between the elastic (corresponding to the hyperelastic strain energy density) and viscoelastic stress (corresponding to a viscous dissipation potential) is introduced. In [95], experimental data of human brain tissue grey matter are compared with numerically fitted response in uniaxial and simple shear deformations showing that such models capture all features of stress–strain data.…”
Section: Applicationsmentioning
confidence: 99%
“…Their model predicts monotonic loading, material relaxation and viscous dissipation during loading and unloading cycle very well but it overestimates stiffness during unloading. Realising the power of a dissipation potential, [35] formulated a visco-hyperelastic constitutive model of short-term memory response for soft materials to capture both linear and nonlinear large deformation behaviour over a wide range of strain rates. The model displays great accuracy and avoids possible thermodynamic instabilities normally found in quasi-static hyperelastic models that corrupt dynamic stresses.…”
Section: Introductionmentioning
confidence: 99%
“…This is a significant deficiency because consideration of experimental data from all the three primary deformation modes of compression, tension and shear at constant strain rates is suggested for the calibration of the hyperelastic and visco‐hyperelastic constitutive models commonly used for hydrogels. [ 25–27 ]…”
Section: Introductionmentioning
confidence: 99%
“…This is a significant deficiency because consideration of experimental data from all the three primary deformation modes of compression, tension and shear at constant strain rates is suggested for the calibration of the hyperelastic and visco-hyperelastic constitutive models commonly used for hydrogels. [25][26][27] The major challenges in testing the shear properties of agarose hydrogels include specimen preparation, gripping of the soft and slippery surfaces that do not result in specimen damage and measurement of local strain within the test area. In some cases, adhesives, such as polymeric glue, can be used to hold the gel in place, but slipping could still occur and alter property data.…”
Section: Introductionmentioning
confidence: 99%