Key result
Multi-block hexahedral meshing cuts required aortic computational cells by up to ~99% vs. tetrahedral grids.
Why the study?
Hexahedral grids reduce computational run time but have high operator time and limited local refinement for complex vascular geometries, necessitating improved meshing methods.
Population
Computational models of vascular structures including abdominal mouse aorta and aorta with coarctation
Comparison
Unstructured hexahedral mesh generation vs tetrahedral grids with prismatic boundary layer and uniformly refined hexahedral grids
Design
Preclinical computational study using multi-block grid-based approach
Authors
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May enable faster preclinical vascular CFD modeling; leaves open human translation pending validation.
A novel multi-block grid-based approach for hexahedral meshing of complex vascular structures significantly reduces the number of computational cells and computation time required for accurate CFD and FSI simulations compared to tetrahedral grids.
Bols et al. (2015) studied Aortic coarctation (computational model) (n=1). Multi-block grid-based hexahedral meshing vs. Tetrahedral grids and uniform grid refinement was evaluated on Grid sensitivity, computation time, and error rates. The novel multi-block grid-based hexahedral meshing strategy provided superior accuracy compared to tetrahedral grids, reducing the required number of cells by a factor of 0.1 to 0.01 and decreasing computation time.
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