Isogeometric Kirchhoff-Love shell formulations for biological membranes
Adrián Buganza Tepole1, Hardik Kabaria1, Kai-Uwe Bletzinger2
1Department of Mechanical Engineering, Stanford University, 496 Lomita Mall, Stanford, CA 94305, USA.
Summary
This study presents a new computational model for thin biological membranes, enabling the design of advanced medical devices. The model accurately captures the nonlinear, anisotropic properties of tissues, improving biomechanical simulations.
Area of Science:
- Biomechanics and Mechanobiology
- Computational Modeling
- Biomaterials Science
Background:
- Thin biological membranes (skin, alveoli, blood vessels, heart valves) are crucial for medical devices.
- Existing computational models often lack the ability to represent nonlinear, anisotropic tissue properties.
- Isogeometric analysis (IGA) is suitable for membrane modeling due to its inherent smoothness requirements.
Purpose of the Study:
- To develop a thin shell formulation for computational modeling of thin biological membranes.
- To integrate nonlinear anisotropic constitutive models into an isogeometric thin shell framework.
- To enable the application of 3D constitutive models to thin shell analyses of biological tissues.
Main Methods:
- Derivation of equilibrium equations using curvilinear convective coordinates on NURBS surfaces.
- Linearization of the weak form of linear momentum balance.
- Incorporation of specific constitutive equations for collagenous tissues (Mooney-Rivlin, May Newmann-Yin, Gasser-Ogden-Holzapfel).
Main Results:
- A novel thin shell formulation for biological membranes is presented.
- The formulation accommodates nonlinear anisotropic material behavior.
- Demonstrated integration of established 3D constitutive models into a 2D thin shell analysis framework.
Conclusions:
- The developed formulation bridges the gap between 3D constitutive models and thin shell analysis for biological tissues.
- This work facilitates more accurate computational modeling of biological membranes.
- Enables improved design and analysis of medical devices interacting with biological tissues.
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