We propose a continuum model of skeletal muscle tissue with a reduced performance due to ageing. The passive behavior of the material is described by a hyperelastic, polyconvex, transversely isotropic strain energy function, and the activation of the muscle is modeled by the so called active strain approach. The loss of ability of activating of an elder muscle is then obtained by lowering of some percentage the active part of the stress, while the loss of mass is modeled through a multiplicative decomposition of the deformation gradient.

Giantesio, G., Marzocchi, A., Musesti, A., Modeling sarcopenia: a geriatric disease of skeletal muscle tissue, Contributed paper, in 5th International Conference on Computational and Mathematical Biomedical Engineering - CMBE2017, (Pittsburgh, 09-12 April 2017), Zeta Computational Resources Ltd., Swansea 2017: 400-402 [http://hdl.handle.net/10807/120505]

Modeling sarcopenia: a geriatric disease of skeletal muscle tissue

Giantesio, Giulia
;
Marzocchi, Alfredo;Musesti, Alessandro
2017

Abstract

We propose a continuum model of skeletal muscle tissue with a reduced performance due to ageing. The passive behavior of the material is described by a hyperelastic, polyconvex, transversely isotropic strain energy function, and the activation of the muscle is modeled by the so called active strain approach. The loss of ability of activating of an elder muscle is then obtained by lowering of some percentage the active part of the stress, while the loss of mass is modeled through a multiplicative decomposition of the deformation gradient.
2017
Inglese
5th International Conference on Computational and Mathematical Biomedical Engineering - CMBE2017
5th International Conference on Computational and Mathematical Biomedical Engineering - CMBE2017
Pittsburgh
Contributed paper
9-apr-2017
12-apr-2017
Zeta Computational Resources Ltd.
Giantesio, G., Marzocchi, A., Musesti, A., Modeling sarcopenia: a geriatric disease of skeletal muscle tissue, Contributed paper, in 5th International Conference on Computational and Mathematical Biomedical Engineering - CMBE2017, (Pittsburgh, 09-12 April 2017), Zeta Computational Resources Ltd., Swansea 2017: 400-402 [http://hdl.handle.net/10807/120505]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/120505
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