The Use of Contravariant Tensors to Model Anisotropic Soft Tissues

Basak, Arthesh and Rajagopal, Amirtham and Basappa, Umesh and Hossain, Mokarram (2021) The Use of Contravariant Tensors to Model Anisotropic Soft Tissues. International Journal of Applied Mechanics, 13 (03). p. 2150039. ISSN 1758-8251

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Abstract

Biological tissues have been shown to behave isotropically at lower strain values, while at higher strains the fibers embedded in the tissue straighten and tend to take up the load. Thus, the anisotropy induced at higher loads can be mathematically modeled by incorporating the strains experienced by the fibers. From histological studies on soft tissues it is evident that for a wide range of tissues the fibers have an oblique mean orientation about the physiological loading directions. Thus, we require a mathematical framework of tensors defined in nonorthogonal basis to capture the direction-dependent response of fibers under high induced loads. In this work, we propose a novel approach to determine the fiber strains with the aid of the contravariant tensors defined in an oblique coordinate system. To determine the fiber strains, we introduce a fourth-order contravariant fiber orientation transformation tensor. The approach helps us successfully in determining the fiber strains, for a family of symmetrically and asymmetrically oriented fibers, with the aid of a single anisotropic invariant. The proposed model was fitted with the experimental data from literature to determine the corresponding material parameters.

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IITH Creators:
IITH CreatorsORCiD
Basak, ArtheshUNSPECIFIED
Rajagopal, AmirthamUNSPECIFIED
Item Type: Article
Uncontrolled Keywords: Anisotropic invariants; Biological tissues; Material parameter; Mathematical frameworks; Nonorthogonal basis; Oblique coordinate systems; Orientation transformations; Physiological loadings
Subjects: Civil Engineering
Divisions: Department of Civil Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 19 Jul 2021 10:43
Last Modified: 19 Jul 2021 10:43
URI: http://raiith.iith.ac.in/id/eprint/8435
Publisher URL: http://doi.org/10.1142/S1758825121500393
OA policy: https://v2.sherpa.ac.uk/id/publication/9675
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