Coupled electro-mechanical models of fiber-distributed active tissues

被引:22
|
作者
Pandolfi, Anna [1 ]
Gizzi, Alessio [2 ]
Vasta, Marcello [3 ]
机构
[1] Politecn Milan, Dipartimento Ingn Civile & Ambientale, Piazza Leonardo da Vinci 32, Milan, Italy
[2] Univ Campus BioMed Roma, Dept Engn, Unit Nonlinear Phys & Math Modeling, Via Alvaro del Portillo 21, I-00128 Rome, Italy
[3] Univ G dAnnunzio, Dipartimento INGEO, Viale Pindaro 42, Pescara, Italy
关键词
Statistical fiber distribution; Second order approximation; Electromechanics; Multiplicative decomposition of deformation gradient; Constitutive modeling; BIOLOGICAL TISSUES; STRAIN; ORIENTATIONS; MYOCARDIUM; HEART;
D O I
10.1016/j.jbiomech.2016.01.038
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
We discuss a constitutive model for stochastically distributed fiber reinforced tissues, where the active behavior of the fibers depends on the relative orientation of the electric field. Unlike other popular approaches, based on numerical integration over the unit sphere, or on the use of second order structure tensors, for the passive behavior we adopt a second order approximation of the strain energy density of the distribution. The purely mechanical quantities result to be dependent on two (second and fourth order, respectively) averaged structure tensors. In line with the approximation used for the passive behavior, we model the active behavior accounting for the statistical fiber distribution. We extend the Helmholtz free energy density by introducing a directional active potential, dependent on a stochastic permittivity tensor associated to a particular direction, and approximate the total active potential through a second order Taylor expansion of the permittivity tensor. The approximation allows us to derive explicitly the active stress and the active constitutive tensors, which result to be dependent on the same two averaged structure tensors that characterize the passive response. Active anisotropy follows from the distribution of the fibers and inherits its stochastic parameters. Examples of passive and active behaviors predicted by the model in terms of response to biaxial testing are presented, and comparisons with passive experimental data are provided. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2436 / 2444
页数:9
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