A nonlinear rotation-free shell formulation with prestressing for vascular biomechanics
Nitesh Nama1, Miquel Aguirre2, Jay D Humphrey3
1Department of Surgery, University of Michigan, Ann Arbor, MI, USA. nnama@umich.edu.
Scientific Reports
|October 17, 2020
Summary
This study introduces a new computational model for simulating large deformations in blood vessels, crucial for understanding vascular biomechanics and improving medical treatments.
Area of Science:
- Computational mechanics
- Biomedical engineering
- Vascular biology
Background:
- Accurate modeling of vascular mechanics is essential for understanding diseases and developing treatments.
- Existing models may not fully capture large deformations and complex material behaviors of blood vessels.
Purpose of the Study:
- To develop and validate a nonlinear, rotation-free shell formulation for simulating large deformations in vascular structures.
- To incorporate realistic material properties and external tissue interactions into the model.
- To adapt a prestress methodology for accurate representation of in vivo vessel geometry.
Main Methods:
- Implementation of a nonlinear, rotation-free triangular shell element for membrane and bending behavior.
- Static condensation of thickness stretch to enforce incompressibility and enable 3D constitutive models.
- Inclusion of external tissue support conditions.
- Adaptation and verification of a prestress methodology for identifying unloaded configurations.
- Application to mouse arterial mechanics with a four-fiber constitutive model.
Main Results:
- The formulation accurately handles large deformations and incorporates 3D constitutive models.
- The prestress methodology effectively identifies unloaded configurations, crucial for in vivo geometry.
- The model demonstrates robustness in simulating mouse arterial mechanics.
Conclusions:
- The developed shell formulation provides a robust tool for analyzing large deformations in vascular biomechanics.
- Accurate modeling of prestress and external tissue support is significant for realistic simulations.
- The formulation is suitable for applications in disease modeling and treatment development.
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