Key result
Lattice Boltzmann models demonstrated comparable flow profiles to the FVM solver for complex blood flow simulation in 3D aneurysm geometry, while requiring less computation time.
Lattice Boltzmann models provide comparable accuracy to standard finite volume solvers for simulating complex aneurysm hemodynamics while offering better computational efficiency.
Computational models enable aneurysm flow visualization where MRI is limited; leaves open prospective clinical validation before practice impact.
This paper simulates and predicts the laminar flow inside the 3D aneurysm geometry, since the hemodynamic situation in the blood vessels is difficult to determine and visualize using standard imaging techniques, for example, magnetic resonance imaging (MRI). Three different types of Lattice Boltzmann (LB) models are computed, namely, single relaxation time (SRT), multiple relaxation time (MRT), and regularized BGK models. The results obtained using these different versions of the LB-based code will then be validated with ANSYS FLUENT, a commercially available finite volume- (FV-) based CFD solver. The simulated flow profiles that include velocity, pressure, and wall shear stress (WSS) are then compared between the two solvers. The predicted outcomes show that all the LB models are comparable and in good agreement with the FVM solver for complex blood flow simulation. The findings also show minor differences in their WSS profiles. The performance of the parallel implementation for each solver is also included and discussed in this paper. In terms of parallelization, it was shown that LBM-based code performed better in terms of the computation time required.
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Abas et al. (2016) studied Artery Bifurcation Aneurysm. Lattice Boltzmann (LB) models vs. ANSYS FLUENT (FVM solver) was evaluated on Simulated flow profiles (velocity, pressure, and wall shear stress) and computation time. Lattice Boltzmann models demonstrated comparable flow profiles to the FVM solver for complex blood flow simulation in 3D aneurysm geometry, while requiring less computation time.
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