dc.contributor.author
Katz, Sarah
dc.contributor.author
Caiazzo, Alfonso
dc.contributor.author
Moreau, Baptiste
dc.contributor.author
Wilbrandt, Ulrich
dc.contributor.author
Brüning, Jan
dc.contributor.author
Goubergrits, Leonid
dc.contributor.author
John, Volker
dc.date.accessioned
2023-07-18T11:48:24Z
dc.date.available
2023-07-18T11:48:24Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/40144
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-39866
dc.description.abstract
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.
en
dc.format.extent
36 Seiten
dc.rights
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
cardiovascular biomarkers
en
dc.subject
computational hemodynamics
en
dc.subject
finite element method
en
dc.subject
patient‐specific modeling
en
dc.subject
turbulence modeling
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie
dc.title
Impact of turbulence modeling on the simulation of blood flow in aortic coarctation
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
e3695
dcterms.bibliographicCitation.doi
10.1002/cnm.3695
dcterms.bibliographicCitation.journaltitle
International Journal for Numerical Methods in Biomedical Engineering
dcterms.bibliographicCitation.number
5
dcterms.bibliographicCitation.volume
39
dcterms.bibliographicCitation.url
https://doi.org/10.1002/cnm.3695
refubium.affiliation
Mathematik und Informatik
refubium.affiliation.other
Institut für Mathematik
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.issn
2040-7939
dcterms.isPartOf.eissn
2040-7947
refubium.resourceType.provider
DeepGreen