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Characterization of anisotropic turbulence behavior in pulsatile blood flow

Turbulent-like hemodynamics with prominent cycle-to-cycle flow variations have received increased attention as a potential stimulus for cardiovascular diseases. These turbulent conditions are typically evaluated in a statistical sense from single scalars extracted from ensemble-averaged tensors (suc...

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Autores principales: Andersson, Magnus, Karlsson, Matts
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979666/
https://www.ncbi.nlm.nih.gov/pubmed/33090334
http://dx.doi.org/10.1007/s10237-020-01396-3
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author Andersson, Magnus
Karlsson, Matts
author_facet Andersson, Magnus
Karlsson, Matts
author_sort Andersson, Magnus
collection PubMed
description Turbulent-like hemodynamics with prominent cycle-to-cycle flow variations have received increased attention as a potential stimulus for cardiovascular diseases. These turbulent conditions are typically evaluated in a statistical sense from single scalars extracted from ensemble-averaged tensors (such as the Reynolds stress tensor), limiting the amount of information that can be used for physical interpretations and quality assessments of numerical models. In this study, barycentric anisotropy invariant mapping was used to demonstrate an efficient and comprehensive approach to characterize turbulence-related tensor fields in patient-specific cardiovascular flows, obtained from scale-resolving large eddy simulations. These techniques were also used to analyze some common modeling compromises as well as MRI turbulence measurements through an idealized constriction. The proposed method found explicit sites of elevated turbulence anisotropy, including a broad but time-varying spectrum of characteristics over the flow deceleration phase, which was different for both the steady inflow and Reynolds-averaged Navier–Stokes modeling assumptions. Qualitatively, the MRI results showed overall expected post-stenotic turbulence characteristics, however, also with apparent regions of unrealizable or conceivably physically unrealistic conditions, including the highest turbulence intensity ranges. These findings suggest that more detailed studies of MRI-measured turbulence fields are needed, which hopefully can be assisted by more comprehensive evaluation tools such as the once described herein.
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spelling pubmed-79796662021-04-05 Characterization of anisotropic turbulence behavior in pulsatile blood flow Andersson, Magnus Karlsson, Matts Biomech Model Mechanobiol Original Paper Turbulent-like hemodynamics with prominent cycle-to-cycle flow variations have received increased attention as a potential stimulus for cardiovascular diseases. These turbulent conditions are typically evaluated in a statistical sense from single scalars extracted from ensemble-averaged tensors (such as the Reynolds stress tensor), limiting the amount of information that can be used for physical interpretations and quality assessments of numerical models. In this study, barycentric anisotropy invariant mapping was used to demonstrate an efficient and comprehensive approach to characterize turbulence-related tensor fields in patient-specific cardiovascular flows, obtained from scale-resolving large eddy simulations. These techniques were also used to analyze some common modeling compromises as well as MRI turbulence measurements through an idealized constriction. The proposed method found explicit sites of elevated turbulence anisotropy, including a broad but time-varying spectrum of characteristics over the flow deceleration phase, which was different for both the steady inflow and Reynolds-averaged Navier–Stokes modeling assumptions. Qualitatively, the MRI results showed overall expected post-stenotic turbulence characteristics, however, also with apparent regions of unrealizable or conceivably physically unrealistic conditions, including the highest turbulence intensity ranges. These findings suggest that more detailed studies of MRI-measured turbulence fields are needed, which hopefully can be assisted by more comprehensive evaluation tools such as the once described herein. Springer Berlin Heidelberg 2020-10-22 2021 /pmc/articles/PMC7979666/ /pubmed/33090334 http://dx.doi.org/10.1007/s10237-020-01396-3 Text en © The Author(s) 2020, corrected publication 2020 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Paper
Andersson, Magnus
Karlsson, Matts
Characterization of anisotropic turbulence behavior in pulsatile blood flow
title Characterization of anisotropic turbulence behavior in pulsatile blood flow
title_full Characterization of anisotropic turbulence behavior in pulsatile blood flow
title_fullStr Characterization of anisotropic turbulence behavior in pulsatile blood flow
title_full_unstemmed Characterization of anisotropic turbulence behavior in pulsatile blood flow
title_short Characterization of anisotropic turbulence behavior in pulsatile blood flow
title_sort characterization of anisotropic turbulence behavior in pulsatile blood flow
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979666/
https://www.ncbi.nlm.nih.gov/pubmed/33090334
http://dx.doi.org/10.1007/s10237-020-01396-3
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