Journal
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
Volume 243, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijmecsci.2022.108017
Keywords
Smoothing domain; Numerical methods; Visco-hyperelasticity model; Total Lagrangian formulation; Composite structures; UI-SFEM
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This paper presents a Unified-Implementation of smoothed finite element method (UI-SFEM) for analyzing large deformations of complex biological tissues. The method utilizes automatically generated linear triangles and tetrahedrons to construct the numerical integration domain, and can combine arbitrary forms of smoothing domains based on the numerical characteristics of materials or components. It also considers the instantaneous hyperelasticity and time-dependent viscous behaviors commonly observed in biological tissues. Numerical experiments demonstrate that the UI-SFEM possesses high flexibility, accuracy, computational efficiency, and is insensitive to mesh distortion when simulating multi-material and multi-component biological tissues.
In this paper, a Unified-Implementation of smoothed finite element method (UI-SFEM) is presented for analyzing large deformations of complex biological tissues using automatically generated linear triangles and tetrahedrons. Biological structures, including many multi-material, multi-component connected tissues, usually undergo finite deformation. Numerical method need to consider different numerical difficulties for different component or materials. In our method, the numerical integration domain can be constructed by combining arbitrary forms of smoothing domains based on gradient smoothing techniques according to the numerical characteristics of ma-terials or components. In addition, the instantaneous hyperelasticity and time-dependent viscous behaviors commonly in biological tissues are considered. Numerical experiments, including fiber reinforced biological composites, the artery wall and cervical spine, show that the UI-SFEM possesses the following properties in simulating multi-material and multi-component biological tissues: (1) remarkably flexibility (2) high accuracy and computational efficiency. (3) insensitive to mesh distortion.
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