150479 20251017144557.0 doi 10.1016/j.jbiomech.2020.109691 sideral 117418 ART-2020-117418 eng Cilla, M. (orcid)0000-0002-8503-9291 A parametric model for studying the aorta hemodynamics by means of the computational fluid dynamics 2020 Access copy available to the general public Unrestricted Perturbed aorta hemodynamics, as for the carotid and the coronary artery, has been identified as potential predicting factor for cardiovascular diseases. In this study, we propose a parametric study based on the computational fluid dynamics with the aim of providing information regarding aortic disease. In particular, the blood flow inside a parametrized aortic arch is computed as a function of morphological changes of baseline aorta geometry. Flow patterns, wall shear stress, time average wall shear stress and oscillatory shear index were calculated during the cardiac cycle. The influence of geometrical changes on the hemodynamics and on these variables was evaluated. The results suggest that the distance between inflow and aortic arch and the angle between aortic arch and descending trunk are the most influencing parameters regarding the WSS-related indices while the effect of the inlet diameter seems limited. In particular, an increase of the aforementioned distance produces a reduction of the spatial distribution of the higher values of the time average wall shear stress and of the oscillatory shear index independently on the other two parameters while an increase of the angle produce an opposite effect. Moreover, as expected, the analysis of the wall shear stress descriptors suggests that the inlet diameter influences only the flow intensity. As conclusion, the proposed parametric study can be used to evaluate the aorta hemodynamics and could be also applied in the future, for analyzing pathological cases and virtual situations, such as pre- and/or post-operative cardiovascular surgical states that present enhanced changes in the aorta morphology yet promoting important variations on the considered indexes. info:eu-repo/semantics/openAccess by-nc-nd https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es 2.712 2020 ENGINEERING, BIOMEDICAL 57 / 89 = 0.64 2020 Q3 T2 BIOPHYSICS 43 / 71 = 0.606 2020 Q3 T2 0.825 2020 Biomedical Engineering 2020 Q1 Biophysics 2020 Q1 Sports Science 2020 Q1 Rehabilitation 2020 Q1 Orthopedics and Sports Medicine 2020 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Casales, M. Peña, E. Universidad de Zaragoza (orcid)0000-0002-0664-5024 Martínez, M.A. Universidad de Zaragoza (orcid)0000-0002-8375-0354 Malvè, M. (orcid)0000-0002-0116-2736 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 103 (2020), 109691 [12 pp.] J. biomech. Journal of Biomechanics 0021-9290 7454275 http://zaguan.unizar.es/record/150479/files/texto_completo.pdf Postprint 2731186 http://zaguan.unizar.es/record/150479/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:150479 articulos driver 2025-10-17-14:13:30 ARTICLE