ArticleBiomechanics and modeling in mechanobiology2021
Characterization of anisotropic turbulence behavior in pulsatile blood flow.
Article in Biomechanics and modeling in mechanobiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- An in silico analysis of heart rate impact on wall shear stress hemodynamic parameters in aortic coarctation.Scientific reports · 2025Article
- Recommendations for defining disturbed flow as laminar, transitional, or turbulent in assays of hemostasis and thrombosis: communication from the ISTH SSC Subcommittee on Biorheology.Journal of thrombosis and haemostasis : JTH · 2025Review
- Periodic Flows in Microfluidics.Small (Weinheim an der Bergstrasse, Germany) · 2024Review
- The Influence of Minor Aortic Branches in Patient-Specific Flow Simulations of Type-B Aortic Dissection.Annals of biomedical engineering · 2023Article
- Turbulence in surgical suction heads as detected by MRI.The journal of extra-corporeal technology · 2023Article
- Article
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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