Blood cell transport and aggregation using discrete ellipsoidal particles

Chesnutt, Jennifer K.W.; Marshall, J.S.

doi:10.1016/j.compfluid.2009.04.002

Cited by 23 publications

(56 citation statements)

References 53 publications

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“…The adhesion forces are mathematically analogues to van der Waals forces of attraction under certain simplifications. Receptor-Ligand binding with time dependent surface energy density [21], which is similar to the one reported by Bell [19] may be adapted for computing the surface energy density of the RBCs. The time dependent surface energy density is given as,…”

Section: Adhesive Forcessupporting

confidence: 48%

“…Due to different time scales of fluid flow, non-collided RBCs and collided RBCs, three different timescales are required to represent the system [21]. Thus three different time stepping procedures are introduced, one for solving the fluid dynamics equations, second for solving the transport of free RBCs and the last one for dealing with RBCs in contact.…”

Section: Time Integration and Collisionmentioning

confidence: 99%

“…The number density is given as An alternative and equivalent form of the adhesion force, which is used in the present study, was provided by [21] and is given as…”

Section: Adhesive Forcesmentioning

confidence: 99%

“…Such a model is built based on a combination of experimental data and computational techniques. The fluid forces used normally consists of the drag resistance induced by the flow [21,22]. In an uniform and irrotational flow, drag resistance alone is valid and accurate.…”

Section: Introductionmentioning

confidence: 99%

“…The adhesion forces between RBCs is the result of receptor-ligand bonding between the cells [19][20][21][22]. Such a model is built based on a combination of experimental data and computational techniques.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Red blood cell (RBC) aggregation and its influence on non-Newtonian nature of blood in microvasculature

Murali

Nithiarasu

2017

Journal of Modeling in Mechanics and Materials

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Abstract:A robust computational model is proposed to investigate the non-Newtonian nature of blood flow due to rouleaux formation in microvasculature. The model consists of appropriate forces responsible for red blood cell (RBC) aggregation in the microvasculature, tracking of RBCs, and coupling between plasma flow and RBCs. The RBC aggregation results have been compared against the available data. The importance of different hydrodynamic forces on red blood cell aggregation has been delineated by comparing the time dependent path of the RBCs. The rheological changes to the blood flow have been investigated under different shear rates and hematocrit values and quantified with and without RBC aggregation. The results obtained in terms of wall shear stress (WSS) and blood viscosity indicate a significant difference between Newtonian and powerlaw fluid assumptions.

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Section: Adhesive Forcessupporting

confidence: 48%

Section: Time Integration and Collisionmentioning

confidence: 99%

“…The number density is given as An alternative and equivalent form of the adhesion force, which is used in the present study, was provided by [21] and is given as…”

Section: Adhesive Forcesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Red blood cell (RBC) aggregation and its influence on non-Newtonian nature of blood in microvasculature

Murali

Nithiarasu

2017

Journal of Modeling in Mechanics and Materials

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Simulations of Blood Flow in Plain Cylindrical and Constricted Vessels with Single Cell Resolution

Janoschek

Toschi

Harting

2011

Macro Theory & Simulations

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Understanding the physics of blood is challenging due to its nature as a suspension of soft particles and the fact that typical problems involve different scales. This is valid also for numerical investigations. In fact, many computational studies either neglect the existence of discrete cells or resolve relatively few cells very accurately. The authors recently developed a simple and highly efficient yet still particulate model with the aim to bridge the gap between currently applied methods. The present work focuses on its applicability to confined flows in vessels of diameters up to ∼ 100 µm. For hematocrit values below 30%, a dependence of the apparent viscosity on the vessel diameter in agreement with experimental literature data is found.

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Mesoscale Analysis of Blood Flow

Marshall

Chesnutt

Udaykumar

2010

Image-Based Computational Modeling of the Human Circulatory and Pulmonary Systems

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Blood flow in the cardiovascular system and its interaction with the vessel walls plays a crucial role in health and disease. Individual blood cells play varied and vital roles in the circulation, including transport of nutrients and dissolved gases (red blood cells), fighting infections and disease (white blood cells), and healing of wounds (platelets). Malfunctioning of blood cells can result in pathologies such as sickle cell disease (red blood cells), ischemia (white blood cells), atherosclerosis (white blood cells and platelets) and thrombosis (platelets and red blood cells). To better understand the behavior of blood cells and their role in health and disease, microscale models that capture the dynamics of individual cells and their interactions with other cells/vessel walls can be very useful. However, since even micro-volumes of blood contain extremely large numbers of cells, connecting blood flow phenomena to cell dynamics and cell-cell/cell-wall interactions limits the usefulness of micro-scale models. Mesoscale models that do not model individual cells in detail, but allow for the treatment of large numbers of cells can provide important insights into the impact of the particulate nature of blood; such mesoscale models can represent transport phenomena, aggregation/disaggregation of cell clusters, collisional interactions of cells with each other and with walls and other phenomena important to healthy and pathological states in the circulation. This chapter describes the important features of such mesoscale models of blood; the treatment of the particulate nature of blood and the modeling and simulation of cell-cell and cell-surface interactions are covered. The examples presented illustrate the state of the art in mesoscale modeling of blood flow.

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Blood cell transport and aggregation using discrete ellipsoidal particles

Cited by 23 publications

References 53 publications

Red blood cell (RBC) aggregation and its influence on non-Newtonian nature of blood in microvasculature

Red blood cell (RBC) aggregation and its influence on non-Newtonian nature of blood in microvasculature

Simulations of Blood Flow in Plain Cylindrical and Constricted Vessels with Single Cell Resolution

Mesoscale Analysis of Blood Flow

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