On the Rule of Mixtures for Predicting Stress-Softening and Residual Strain Effects in Biological Tissues and Biocompatible Materials

Materials

Alex El໚s-Zúñiga¹  Karen Baylón¹  Inés Ferrer²  Lໝia Serenó²  Maria Luisa Garcia-Romeu²  Isabel Bagudanch²  Jordi Grabalosa²  Tania Pérez-Recio¹  Oscar Martínez-Romero¹  Wendy Ortega-Lara¹ 

[1] Centro de Innovación en Diseño y Tecnología, Tecnológico de Monterrey, Campus Monterrey, E. Garza Sada 2501 Sur, Monterrey 64849, NL, Mexico; E-Mails:;Department of Mechanical Engineering and Industrial Construction, University of Girona, Maria Aurelia Capmany 61, Girona 17071, Spain; E-Mails:

关键词: stress-softening effects;    biomaterial residual strains;    biological tissues;    rule of mixtures;    pseudo-elasticity theory;   

DOI  :  10.3390/ma7010441

来源: mdpi

【 摘 要 】

In this work, we use the rule of mixtures to develop an equivalent material model in which the total strain energy density is split into the isotropic part related to the matrix component and the anisotropic energy contribution related to the fiber effects. For the isotropic energy part, we select the amended non-Gaussian strain energy density model, while the energy fiber effects are added by considering the equivalent anisotropic volumetric fraction contribution, as well as the isotropized representation form of the eight-chain energy model that accounts for the material anisotropic effects. Furthermore, our proposed material model uses a phenomenological non-monotonous softening function that predicts stress softening effects and has an energy term, derived from the pseudo-elasticity theory, that accounts for residual strain deformations. The model’s theoretical predictions are compared with experimental data collected from human vaginal tissues, mice skin, poly(glycolide-co-caprolactone) (PGC25 3-0) and polypropylene suture materials and tracheal and brain human tissues. In all cases examined here, our equivalent material model closely follows stress-softening and residual strain effects exhibited by experimental data.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland