Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Typical Model Studies01:30

Typical Model Studies

500
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.
500
Laminar and Turbulent Flow01:07

Laminar and Turbulent Flow

9.7K
Fluid dynamics is the study of fluids in motion. Velocity vectors are often used to illustrate fluid motion in applications like meteorology. For example, wind—the fluid motion of air in the atmosphere—can be represented by vectors indicating the speed and direction of the wind at any given point on a map. Another method for representing fluid motion is a streamline. A streamline represents the path of a small volume of fluid as it flows. When the flow pattern changes with time, the...
9.7K
Steady, Laminar Flow Between Parallel Plates01:17

Steady, Laminar Flow Between Parallel Plates

501
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.
501
Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models

185
Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...
185
Steady, Laminar Flow in Circular Tubes01:23

Steady, Laminar Flow in Circular Tubes

577
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...
577
Bernoulli's Equation for Flow Along a Streamline01:30

Bernoulli's Equation for Flow Along a Streamline

1.2K
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:
1.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Pathophysiologic Consequences of Early Coarctation Stenting in a Longitudinal Porcine Model.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions·2026
Same author

Corrigendum to "4D Flow cardiovascular magnetic resonance consensus statement: 2023 update" [Journal of Cardiovascular Magnetic Resonance 25 (2023) 40].

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance·2026
Same author

Biomechanic characterization of normal urethra using uro-dynamic MRI during voiding.

International urology and nephrology·2026
Same author

Hemodynamic Changes After Portal Vein Embolization Predict Future Liver Remnant Growth: A 4D Flow MRI Feasibility Study in Pigs.

Journal of computer assisted tomography·2026
Same author

Structural and mechanical analysis of treated and untreated aortic coarctation in a growing porcine model.

Acta biomaterialia·2026
Same author

Polygenic Determinants of Arterial Stiffness: Implications for Hypertension.

medRxiv : the preprint server for health sciences·2025

Related Experiment Video

Updated: Nov 3, 2025

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
09:20

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Published on: February 13, 2021

6.7K

A distributed lumped parameter model of blood flow with fluid-structure interaction.

Ryan Pewowaruk1, Alejandro Roldán-Alzate2,3,4

  • 1Biomedical Engineering, University of Wisconsin, Madison, USA.

Biomechanics and Modeling in Mechanobiology
|June 2, 2021
PubMed
Summary

A new fluid-structure interaction (FSI) model, distributed lumped parameter FSI (DLP-FSI), efficiently simulates blood flow. It accurately captures energy dissipation in vessels, offering a faster alternative to complex 3D models.

Keywords:
Fluid-structure interactionsHemodynamicsImage based modelingReduced order model

More Related Videos

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
13:07

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

4.1K
Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery
06:18

Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery

Published on: December 6, 2024

782

Related Experiment Videos

Last Updated: Nov 3, 2025

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
09:20

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Published on: February 13, 2021

6.7K
Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
13:07

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

4.1K
Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery
06:18

Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery

Published on: December 6, 2024

782

Area of Science:

  • Biomedical Engineering
  • Computational Fluid Dynamics
  • Cardiovascular Physiology

Background:

  • Traditional blood flow models struggle with computational efficiency and incorporating complex energy dissipation.
  • Existing simplified models often neglect crucial cardiovascular flow dynamics.

Purpose of the Study:

  • To extend the distributed lumped parameter (DLP) model to incorporate fluid-structure interactions (FSI) for blood flow simulation.
  • To develop a computationally efficient DLP-FSI model that includes complex energy dissipation in blood vessels.

Main Methods:

  • Developed a DLP-FSI model by integrating a simple compliance term into the existing DLP framework.
  • Ensured the new model did not significantly increase computational complexity compared to original DLP models.
  • Conducted verification and validation studies against analytical solutions, experimental data, and in vivo MRI measurements.

Main Results:

  • DLP-FSI simulations demonstrated good agreement with analytical solutions for wave equations.
  • Model predictions showed strong correlation with experimental measurements of pulsatile flow in elastic tubes.
  • In vivo MRI data of thoracic aortic flow were well-replicated by the DLP-FSI model.

Conclusions:

  • The developed DLP-FSI model offers a computationally efficient approach for simulating cardiovascular flows with fluid-structure interactions.
  • This method effectively incorporates complex energy dissipation, outperforming other simplified models.
  • DLP-FSI provides a significant advancement for simulating complex cardiovascular dynamics with improved computational efficiency.