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Cited by 323

The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.

Numerical Simulation of Flowing Blood Cells

Freund, Jonathan B.·2014·Annual Review of Fluid Mechanics

Abstract

The cellular detail of blood is an essential factor in its flow, especially in vessels or devices with size comparable to that of its suspended cells. This article motivates and reviews numerical simulation techniques that provide a realistic description of cell-scale blood flow by explicitly representing its coupled fluid and solid mechanics. Red blood cells are the principal focus because of their importance and because of their remarkable deformability, which presents particular simulation challenges. Such simulations must couple discretizations of the large-deformation elasticity of the cells with the viscous flow mechanics of the suspension. The Reynolds numbers are low, so the effectively linear fluid mechanics is amenable to a wide range of simulation methods, although the constitutive models and geometric factors of the coupled system introduce challenging nonlinearity. Particular emphasis is given to the relative merits of several fundamentally different simulation methods. The detailed description provided by such simulations is invaluable for advancing our scientific understanding of blood flow, and their ultimate impact will be in the design of biomedical tools and interventions.

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Crossref · 10.1146/annurev-fluid-010313-141349

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Metadata

Authors
Freund, J. B.
Venue
Annual Review of Fluid Mechanics
Published
2014-01-03
Volume
46
Issue
1
Pages
67-95
ISSN
  • 0066-4189 (ISSN-L)
  • 1545-4479
OpenAlex
W2155266039
Cited by
323
References
95
FWCI
3.84
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Numerical Simulation of Flowing Blood Cells. https://app.cochat.ai/papers/10.1146/annurev-fluid-010313-141349
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Freund, J. B. (2014). Numerical Simulation of Flowing Blood Cells. Annual Review of Fluid Mechanics. https://doi.org/10.1146/annurev-fluid-010313-141349

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.