Soft tissue modelling;
Viscoelasticity;
Standard linear solid;
Quasi-linear viscoelastic model;
Nonlinear viscosity;
Mullins effect;
RATE-DEPENDENT RESPONSE;
CONSTITUTIVE MODEL;
SMALL-INTESTINE;
ENERGY FUNCTION;
BRAIN-TISSUE;
RUBBER;
BEHAVIOR;
DEFORMATIONS;
COMPRESSION;
LIGAMENTS;
D O I:
10.1016/j.jbiomech.2018.01.025
中图分类号:
Q6 [生物物理学];
学科分类号:
071011 ;
摘要:
Soft tissues exhibit highly nonlinear rate and time-dependent stress-strain behaviour. Strain and strain rate dependencies are often modelled using a hyperelastic model and a discrete (standard linear solid) or continuous spectrum (quasi-linear) viscoelastic model, respectively. However, these models are unable to properly capture the materials characteristics because hyperelastic models are unsuited for time dependent events, whereas the common viscoelastic models are insufficient for the nonlinear and finite strain viscoelastic tissue responses. The convolution integral based models can demonstrate a finite viscoelastic response; however, their derivations are not consistent with the laws of thermodynamics. The aim of this work was to develop a three-dimensional finite hyper-viscoelastic model for soft tissues using a thermodynamically consistent approach. In addition, a nonlinear function, dependent on strain and strain rate, was adopted to capture the nonlinear variation of viscosity during a loading process. To demonstrate the efficacy and versatility of this approach, the model was used to recreate the experimental results performed on different types of soft tissues. In all the cases, the simulation results were well matched (R-2 >= 0.99) with the experimental data. (C) 2018 Elsevier Ltd. All rights reserved.
机构:
Moscow MV Lomonosov State Univ, Fac Phys, Moscow 119991, Russia
Russian Acad Sci, Prokhorov Gen Phys Inst, Moscow, Russia
Russian Acad Sci, Schmidt Inst Phys Earth, Moscow, Russia
Blekinge Inst Technol, Sch Engn, S-37179 Karlskrona, Sweden
Nizhnii Novgorod State Univ, Nizhnii Novgorod, RussiaMoscow MV Lomonosov State Univ, Fac Phys, Moscow 119991, Russia
Rudenko, O. V.
Gurbatov, S. N.
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机构:
Nizhnii Novgorod State Univ, Nizhnii Novgorod, RussiaMoscow MV Lomonosov State Univ, Fac Phys, Moscow 119991, Russia
Gurbatov, S. N.
Demin, I. Yu
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Nizhnii Novgorod State Univ, Nizhnii Novgorod, RussiaMoscow MV Lomonosov State Univ, Fac Phys, Moscow 119991, Russia