Fluid dynamics in heart development: effects of hematocrit and trabeculation

Battista, Nicholas A.; Lane, Andrea N.; Liu, Jiandong; Miller, Laura A.

doi:10.1093/imammb/dqx018

Cited by 24 publications

(22 citation statements)

References 58 publications

(80 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The IB method has been successfully applied to a variety of problems in biological fluid dynamics with an intermediate Re f regime, i.e. 0.01 < Re f < 1000, including heart development [21], [22], insect flight [23], swimming [24], [25], and dating and relationships [26]. A fully parallelized implementation of the IB method with adaptive mesh refinement, IBAMR [27], was used for the simulations described here.…”

Section: B Numerical Methodsmentioning

confidence: 99%

Pulsing corals: A story of scale and mixing

Samson

Battista²,

Khatri³

et al. 2017

BIOMATH

View full text Add to dashboard Cite

Abstract-Effective methods of fluid transport vary across scale. A commonly used dimensionless number for quantifying the effective scale of fluid transport is the frequency based Reynolds number, Re f , which gives the ratio of inertial to viscous forces in a fluid flow. What may work well for one Re f regime may not produce significant flows for another. These differences in scale have implications for many organisms, ranging from the mechanics of how organisms move through their fluid environment to how hearts pump at various stages in development. Some organisms, such as soft pulsing corals, actively contract their tentacles to generate mixing currents that enhance photosynthesis. Their unique morphology and the intermediate Re f regime at which they function, where both viscous and inertial forces are significant, make them a unique model organism for understanding fluid mixing. In this paper, 3D fluid-structure interaction simulations of a pulsing soft coral are used to quantify fluid transport and describe fluid mixing across a wide range of Re f . The results show that net transport is negligible for Re f < O(10

show abstract

Section: B Numerical Methodsmentioning

confidence: 99%

Pulsing corals: A story of scale and mixing

Samson

Battista²,

Khatri³

et al. 2017

BIOMATH

View full text Add to dashboard Cite

show abstract

“…It has previously been applied to study problems ranging from cardiac fluid dynamics [41][42][43][44] to aquatic locomotion [45][46][47][48][49] to insect flight [50][51][52] to dating and relationships [39]. Additional details on the IB method can be found in Appendix B.…”

Section: Methodsmentioning

confidence: 99%

A Swing of Beauty: Pendulums, Fluids, Forces, and Computers

Mongelli

Battista

2020

Fluids

View full text Add to dashboard Cite

While pendulums have been around for millennia and have even managed to swing their way into undergraduate curricula, they still offer a breadth of complex dynamics to which some has still yet to have been untapped. To probe into the dynamics, we developed a computational fluid dynamics (CFD) model of a pendulum using the open-source fluid-structure interaction (FSI) software, IB2d. Beyond analyzing the angular displacements, speeds, and forces attained from the FSI model alone, we compared its dynamics to the canonical damped pendulum ordinary differential equation (ODE) model that is familiar to students. We only observed qualitative agreement after a few oscillation cycles, suggesting that there is enhanced fluid drag during our setup’s initial swing, not captured by the ODE’s linearly-proportional-velocity damping term, which arises from the Stokes Drag Law. Moreover, we were also able to investigate what otherwise could not have been explored using the ODE model, that is, the fluid’s response to a swinging pendulum—the system’s underlying fluid dynamics.

show abstract

“…This approach was further extended by Griffith et al [6] to use adaptive mesh refinement. This methodology has enabled modeling in a number of application areas, including cardiac dynamics [7,8,9,10,11,12,13,14,15], platelet adhesion [16], esophageal transport [17,18,19], heart development [20,21], insect flight [22,23], and undulatory swimming [24,25,26,27,28,29,30].…”

Section: Introduction and Overviewmentioning

confidence: 99%

An immersed interface method for discrete surfaces

Kolahdouz

Bhalla

Craven

et al. 2020

Journal of Computational Physics

View full text Add to dashboard Cite

Fluid-structure systems occur in a range of scientific and engineering applications. The immersed boundary (IB) method is a widely recognized and effective modeling paradigm for simulating fluidstructure interaction (FSI) in such systems, but a difficulty of the IB formulation of these problems is that the pressure and viscous stress are generally discontinuous at fluid-solid interfaces. The conventional IB method regularizes these discontinuities, which typically yields low-order accuracy at these interfaces. The immersed interface method (IIM) is an IB-like approach to FSI that sharply imposes stress jump conditions, enabling higher-order accuracy, but prior applications of the IIM have been largely restricted to numerical methods that rely on smooth representations of the interface geometry. This paper introduces an immersed interface formulation that uses only a C 0 representation of the immersed interface, such as those provided by standard nodal Lagrangian finite element methods. Verification examples for models with prescribed interface motion demonstrate that the method sharply resolves stress discontinuities along immersed boundaries while avoiding the need for analytic information about the interface geometry. Our results also demonstrate that only the lowest-order jump conditions for the pressure and velocity gradient are required to realize global second-order accuracy. Specifically, we demonstrate second-order global convergence rates along with nearly second-order local convergence in the Eulerian velocity field, and between first-and second-order global convergence rates along with approximately first-order local convergence for the Eulerian pressure field. We also demonstrate approximately second-order local convergence in the interfacial displacement and velocity along with first-order local convergence in the fluid traction along the interface. As a demonstration of the method's ability to tackle more complex geometries, the present approach is also used to simulate flow in a patient-averaged anatomical model of the inferior vena cava, which is the large vein that carries deoxygenated blood from the lower extremities back to the heart. Comparisons of the general hemodynamics and wall shear stress obtained by the present IIM and a body-fitted discretization approach show that the present method yields results that are in good agreement with those obtained by the body-fitted approach.

show abstract

Fluid dynamics in heart development: effects of hematocrit and trabeculation

Cited by 24 publications

References 58 publications

Pulsing corals: A story of scale and mixing

Pulsing corals: A story of scale and mixing

A Swing of Beauty: Pendulums, Fluids, Forces, and Computers

An immersed interface method for discrete surfaces

Contact Info

Product

Resources

About