Lijian Xu1, Tianyang Yang2, Lekang Yin3, Ye Kong2, Yuri Vassilevski4,5, Fuyou Liang1,5,6,*
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 509-526, 2020, DOI:10.32604/cmes.2020.010719
Abstract Computational modeling methods have been increasingly employed to
quantify aortic hemodynamic parameters that are challenging to in vivo measurements but important for the diagnosis/treatment of aortic disease. Although the
presence of turbulence-like behaviors of blood flow in normal or diseased aorta
has long been confirmed, the majority of existing computational model studies
adopted the laminar flow assumption (LFA) in the treatment of sub-grid flow variables. So far, it remains unclear whether LFA would significantly compromise the
reliability of hemodynamic simulation. In the present study, we addressed the
issue in the context of a specific aortopathy, namely aortic dilation, which is… More >
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