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Dacron graft as replacement to dissected aorta: A three-dimensional fluid-structure-interaction analysis
R Jayendiran1, B M Nour2, A Ruimi1
1Mechanical Engineering Program, Texas A&M University at Qatar, Doha, Qatar.
Journal of the Mechanical Behavior of Biomedical Materials
|December 4, 2017
Summary
This study simulated blood flow through a composite aortic segment-Dacron graft structure. Results show the graft interface is safe under simulated conditions, but complex models increase computational cost.
Area of Science:
- Biomedical Engineering
- Computational Mechanics
- Cardiovascular Research
Background:
- Aortic dissection (AD) is a life-threatening condition requiring aortic repair.
- Dacron grafts are commonly used for aortic replacement surgery.
- Understanding the biomechanical response of these composite structures is crucial for patient outcomes.
Purpose of the Study:
- To investigate the fluid-structure interaction (FSI) in a composite human aortic segment-Dacron graft model.
- To analyze stress and strain profiles within the aortic wall layers and the graft under pulsatile, turbulent blood flow.
- To compare the predictive accuracy and computational cost of different material models (elastic vs. hyperelastic, isotropic vs. anisotropic).
Main Methods:
- Utilized three-dimensional FSI simulations in Abaqus.
- Employed elastic and hyperelastic material models, including the Holzapfel-Gasser-Ogden (HGO) model for anisotropic behavior.
- Simulated Newtonian, incompressible, pulsatile, and turbulent blood flow.
Main Results:
- Von Mises stress at the aorta-Dacron interface remained below the aorta's ultimate strength across all models.
- No significant radial displacement changes were observed at the material interface due to blood flow.
- The hyperelastic-anisotropic model (HGO) exhibited approximately three times the computational cost of the elastic-isotropic model.
Conclusions:
- The simulated Dacron graft demonstrates biomechanical stability at the aorta interface under physiological blood flow conditions.
- A trade-off exists between the accuracy of advanced material models (e.g., HGO) and computational expense.
- Careful consideration of model complexity versus computational resources is necessary for effective simulation of aortic graft performance.

