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Anisotropic fractional viscoelastic constitutive models for human descending thoracic aortas.
Amabili, Marco; Balasubramanian, Prabakaran; Breslavsky, Ivan.
Affiliation
  • Amabili M; Department of Mechanical Engineering, McGill University, 817 Sherbrooke Street West, Montreal, H3A 0C3, Canada; Department of Biomedical Engineering, McGill University, 817 Sherbrooke Street West, Montreal, H3A 0C3, Canada. Electronic address: marco.amabili@mcgill.ca.
  • Balasubramanian P; Department of Mechanical Engineering, McGill University, 817 Sherbrooke Street West, Montreal, H3A 0C3, Canada.
  • Breslavsky I; Department of Mechanical Engineering, McGill University, 817 Sherbrooke Street West, Montreal, H3A 0C3, Canada.
J Mech Behav Biomed Mater ; 99: 186-197, 2019 11.
Article de En | MEDLINE | ID: mdl-31362261
ABSTRACT
The generalized fractional Maxwell model, formulated for hyperelastic material within the framework of the nonlinear viscoelasticity with internal variables, is applied to identify viscoelastic constitutive equations from layer-specific experimental data obtained by uniaxial harmonic loading of ex-vivo human descending thoracic aortas. The constitutive parameters are identified by using a genetic algorithm for the optimal fitting of the experimental data. The accuracy of the fitted fractional model is compared to the fitted integer order model with the same number of Maxwell elements. The formulation of an original strain energy density function for anisotropic nonlinear viscoelasticity is introduced and constitutive parameters are obtained from the experiments.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Aorte thoracique / Anisotropie Type d'étude: Prognostic_studies Limites: Humans Langue: En Journal: J Mech Behav Biomed Mater Sujet du journal: ENGENHARIA BIOMEDICA Année: 2019 Type de document: Article

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Aorte thoracique / Anisotropie Type d'étude: Prognostic_studies Limites: Humans Langue: En Journal: J Mech Behav Biomed Mater Sujet du journal: ENGENHARIA BIOMEDICA Année: 2019 Type de document: Article