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Related Concept Videos

Typical Model Studies01:30

Typical Model Studies

Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
Steady, Laminar Flow in Circular Tubes01:23

Steady, Laminar Flow in Circular Tubes

Hagen-Poiseuille flow describes a viscous fluid's steady, incompressible flow through a cylindrical tube with a constant radius R. This flow profile is often applied to understand fluid transport in narrow channels, such as capillaries. It serves as a foundational example of laminar flow. In this model, cylindrical coordinates (r,θ,z) are used to describe the radial (r), angular (θ), and axial (z) dimensions within the tube. For Hagen-Poiseuille flow, the velocity profile is purely axial,...
Steady Flow of a Fluid Stream01:27

Steady Flow of a Fluid Stream

Consider a control volume, such as a pipe with solid boundaries, through which fluid flows and changes direction due to the impulse exerted by the resulting force from the pipe walls. In steady flow, the mass of fluid entering the control volume at a given time, t, with velocity v1, is equal to the mass leaving after infinitesimal time dt, with velocity v2.
During this process, the momentum of the fluid within the control volume remains constant over the time interval dt. By applying the...
Steady, Laminar Flow Between Parallel Plates01:17

Steady, Laminar Flow Between Parallel Plates

Understanding steady, laminar flow between parallel plates is essential for analyzing and designing flow in narrow rectangular channels, commonly found in various water conveyance and drainage systems. The Navier-Stokes equations govern fluid motion and are generally challenging to solve due to their nonlinearity. However, simplifications are possible in certain cases, like the steady laminar flow between parallel plates. For this scenario, we assume steady, incompressible, laminar flow.
Bernoulli's Equation for Flow Along a Streamline01:30

Bernoulli's Equation for Flow Along a Streamline

Bernoulli's equation relates the energy conservation in a fluid moving along a streamline. The equation applies to incompressible and inviscid fluids under steady flow. For such a flow, Newton's second law is applied to a small fluid element, which experiences forces due to pressure differences, gravity, and velocity variations. The force balance leads to the following form of Bernoulli's equation:
Couette Flow01:22

Couette Flow

Couette flow represents the flow of fluid between two parallel plates, with one plate fixed and the other moving with a constant velocity. This configuration allows for a simplified analysis using the Navier-Stokes equations, which govern fluid motion under conditions of viscosity and incompressibility. For Couette flow, the assumptions include a steady, laminar, incompressible flow with a zero-pressure gradient in the flow direction. This flow type is beneficial for understanding shear-driven...

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Related Experiment Video

Updated: Jun 4, 2026

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section
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Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

Published on: July 19, 2016

Viscous flow simulation in a stenosis model using discrete particle dynamics: a comparison between DPD and CFD.

Rui Feng1, Michalis Xenos, Gaurav Girdhar

  • 1Computational Science Center, Brookhaven National Laboratory, Upton, NY 11973-5000, USA.

Biomechanics and Modeling in Mechanobiology
|March 4, 2011
PubMed
Summary

A novel multiscale numerical approach using discrete particle dynamics (DPD) effectively simulates blood flow and clotting at molecular and macroscopic levels. This method overcomes computational challenges in modeling disparate scales for blood flow research.

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Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro
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Related Experiment Videos

Last Updated: Jun 4, 2026

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Published on: July 19, 2016

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Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro
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Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro

Published on: December 3, 2018

Area of Science:

  • Biophysics
  • Computational Biology
  • Fluid Dynamics

Background:

  • Blood flow analysis typically uses continuum mechanics, limiting molecular-level detail.
  • Modeling molecular interactions like blood clotting alongside macroscopic flow presents significant computational hurdles.
  • Bridging micro/nanoscale molecular events with macroscale transport phenomena is crucial for understanding blood dynamics.

Purpose of the Study:

  • To introduce and validate a multiscale numerical approach for simulating blood flow and clotting.
  • To address the computational challenge of coupling disparate length and timescales in blood flow.
  • To demonstrate the feasibility of discrete particle dynamics (DPD) for modeling blood at multiple scales.

Main Methods:

  • Developed a multiscale numerical approach based on discrete particle dynamics (DPD) principles derived from molecular dynamics (MD).
  • Simulated low Reynolds number (Re = 25-33) viscous flows through constricted tubes representing stenosed blood vessels.
  • Utilized massive parallel supercomputing (NY BlueGene/L with NAMD) with millions of particles for flow and vessel walls.

Main Results:

  • Simulations accurately reproduced typical recirculation zones distal to stenoses.
  • Obtained velocity profiles and recirculation patterns in excellent agreement with computational fluid dynamics (CFD) and established experimental results.
  • Demonstrated the capability of the DPD approach to capture flow dynamics in constricted geometries.

Conclusions:

  • The proposed DPD-based multiscale method is a feasible and powerful alternative to continuum approaches for blood flow simulation.
  • This methodology shows significant potential for simulating complex multiscale phenomena, including flow-induced blood clotting.
  • The study validates a novel computational strategy for advancing blood flow and thrombosis research.