2015
DOI: 10.1016/j.cma.2015.05.006
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Isogeometric Kirchhoff–Love shell formulations for biological membranes

Abstract: Computational modeling of thin biological membranes can aid the design of better medical devices. Remarkable biological membranes include skin, alveoli, blood vessels, and heart valves. Isogeometric analysis is ideally suited for biological membranes since it inherently satisfies the C1-requirement for Kirchhoff-Love kinematics. Yet, current isogeometric shell formulations are mainly focused on linear isotropic materials, while biological tissues are characterized by a nonlinear anisotropic stress-strain respo… Show more

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Cited by 95 publications
(53 citation statements)
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“…This can be construed as a thin-shell approximation of the “shifter tensor” defined by [71, (63)]. Alternatively, the thin shell formulations of [69] and [72] do not make this approximation. The FSI analysis techniques of this paper are independent of how exactly the shell subproblem is formulated.…”
Section: Mathematical Model and Immersogeometric Discretization Ofmentioning
confidence: 99%
“…This can be construed as a thin-shell approximation of the “shifter tensor” defined by [71, (63)]. Alternatively, the thin shell formulations of [69] and [72] do not make this approximation. The FSI analysis techniques of this paper are independent of how exactly the shell subproblem is formulated.…”
Section: Mathematical Model and Immersogeometric Discretization Ofmentioning
confidence: 99%
“…27 Particularly, isogeometric analysis has been found suitable for thin shell descriptions of biological membranes such as skin. 14 Furthermore, a three-dimensional B-spline surface patch is defined explicitly over a two-dimensional parametric domain, inherently providing the same parameterization for every configuration of the tissue as it is expanded. Here we employ the isogeometric concept to retrieve the deformation maps and deformation gradients imposed by tissue expansion.…”
Section: Introductionmentioning
confidence: 99%
“…Isogeometric finiteelement formulations [192][193][194] are therefore superior to those based on Lagrange polynomial interpolation. Identifying critical conditions that trigger surface instabilities is also a challenging endeavour but progress in this area is steadily moving forward [195].…”
Section: (D) Computational Models Of Skin Wrinklesmentioning
confidence: 99%