Impact of viscosity modeling on the simulation of aortic blood flow

Katz, Sarah; Caiazzo, Alfonso; John, Volker

doi:10.1016/j.cam.2022.115036

Cited by 2 publications

(2 citation statements)

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“…The numerical simulations are based on the assumption of a Newtonian flow. Further studies taking into account non‐Newtonian models have recently been published 42 …”

Section: Discussionmentioning

confidence: 99%

“…Further studies taking into account non-Newtonian models have recently been published. 42 The effect of the order of the finite element velocity space was investigated, exemplarily for the RB-VMS model. First-order velocity elements yielded results very different from the other models, while the agreement with other approaches considerably improved using second order velocity elements, suggesting, in our opinion, that the latter choice can achieve better accuracy.…”

Section: Discussionmentioning

confidence: 99%

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Impact of turbulence modeling on the simulation of blood flow in aortic coarctation

Katz

Caiazzo

Moreau

et al. 2023

Numer Methods Biomed Eng

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Numerical simulations of pulsatile blood flow in an aortic coarctation require the use of turbulence modeling. This paper considers three models from the class of large eddy simulation (LES) models (Smagorinsky, Vreman, σ-model) and one model from the class of variational multiscale models (residual-based) within a finite element framework. The influence of these models on the estimation of clinically relevant biomarkers used to assess the degree of severity of the pathological condition (pressure difference, secondary flow degree, normalized flow displacement, wall shear stress) is investigated in detail. The simulations show that most methods are consistent in terms of severity indicators such as pressure difference and stenotic velocity. Moreover, using second-order velocity finite elements, different turbulence models might lead to considerably different results concerning other clinically relevant quantities such as wall shear stresses. These differences may be attributed to differences in numerical dissipation introduced by the turbulence models.

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“…The numerical simulations are based on the assumption of a Newtonian flow. Further studies taking into account non‐Newtonian models have recently been published 42 …”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%