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

Accelerating Fluids01:17

Accelerating Fluids

When a fluid is in constant acceleration, the pressure and buoyant force equations are modified. Suppose a beaker is placed in an elevator accelerating upward with a constant acceleration, a. In the beaker, assume there is a thin cylinder of height h with an infinitesimal cross-sectional area, ΔS.
The motion of the liquid within this infinitesimal cylinder is considered to obtain the pressure difference. Three vertical forces act on this liquid:
Newtonian Fluid: Problem Solving01:18

Newtonian Fluid: Problem Solving

Newtonian fluids exhibit a constant viscosity, meaning their shear stress and shear strain rate are directly proportional. This property ensures a predictable and stable response to applied forces, maintaining a linear relationship between force and flow. Examples include water, air, and light oils, consistently demonstrating this proportional behavior regardless of external conditions.
A velocity gradient forms within the fluid when a Newtonian fluid is placed between two parallel plates, with...
Dimensionless Groups in Fluid Mechanics01:15

Dimensionless Groups in Fluid Mechanics

Dimensionless groups in fluid mechanics provide simplified ratios that help analyze fluid behavior without relying on specific units. The Reynolds number (Re), which represents the ratio of inertial to viscous forces, distinguishes between laminar and turbulent flows, making it essential in the design of pipelines and aerodynamic surfaces. The Froude number (Fr), the ratio of inertial to gravitational forces, is particularly useful in predicting wave formation and hydraulic jumps in...
Turbulent Flow: Problem Solving01:09

Turbulent Flow: Problem Solving

Carbonation is a process used to dissolve carbon dioxide gas in a liquid, commonly used in the production of carbonated beverages. Achieving efficient carbonation requires careful control of temperature, pressure, and flow conditions. By adjusting these parameters, carbonation efficiency can be maximized, producing a higher concentration of CO2 in the liquid.
Temperature is a key factor in CO2 solubility. In this case, the CO2 gas and the liquid are cooled to 20°C. Lower temperatures enhance...
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...

You might also read

Related Articles

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

Sort by
Same author

Assessing ultraviolet-C light-emitting diode disinfection of disposable video laryngoscope blades: a sustainable approach through an integrated microbiological, environmental, economic, and regulatory evaluation.

BJA open·2026
Same author

Influence of Fiber Dispersion Representation on the Accuracy of the Mechanical Response of Healthy and Aneurysmal Aortic Wall Tissue.

International journal for numerical methods in biomedical engineering·2026
Same author

A multiscale computational model of ascending thoracic aortic aneurysm development in Marfan syndrome for in silico trials.

Biomechanics and modeling in mechanobiology·2026
Same author

Biomimetic characterization by micro-computed tomography (μCT) of 3D hollow fibre membrane network bioreactors for tissue engineering.

Biomaterials science·2026
Same author

Systematic Disruption of Zebrafish Fibrillin Genes Identifies a Translational Zebrafish Model for Marfan Syndrome.

JACC. Basic to translational science·2026
Same author

Quantifying the climate and water footprint of artificial intelligence in anaesthesia and intensive care.

European journal of anaesthesiology·2026

Related Experiment Video

Updated: May 24, 2026

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

A fast strong coupling algorithm for the partitioned fluid-structure interaction simulation of BMHVs.

Sebastiaan Annerel1, Joris Degroote, Tom Claessens

  • 1Department of Flow, Heat and Combustion Mechanics, Ghent University, Ghent, Belgium. Sebastiaan.Annerel@UGent.be

Computer Methods in Biomechanics and Biomedical Engineering
|March 2, 2012
PubMed
Summary

This study introduces a new algorithm to speed up simulations of Bileaflet Mechanical Heart Valves (BMHVs). The enhanced coupling method significantly reduces computation time and iterations needed for accurate fluid-structure interaction modeling.

More Related Videos

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
06:37

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

Published on: September 17, 2021

A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials
11:28

A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials

Published on: May 18, 2015

Related Experiment Videos

Last Updated: May 24, 2026

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

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
06:37

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

Published on: September 17, 2021

A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials
11:28

A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials

Published on: May 18, 2015

Area of Science:

  • * Biomedical Engineering
  • * Computational Fluid Dynamics
  • * Mechanical Engineering

Background:

  • * Bileaflet Mechanical Heart Valves (BMHVs) are crucial for cardiac surgery.
  • * Accurate numerical simulation is vital for BMHV design and optimization.
  • * Existing simulation methods face challenges in computational efficiency.

Purpose of the Study:

  • * To present a novel strong coupling algorithm for partitioned fluid-structure interaction (FSI) simulation of BMHVs.
  • * To accelerate the convergence of coupling iterations between flow and leaflet motion solvers.
  • * To improve the efficiency and reduce the computational cost of BMHV simulations.

Main Methods:

  • * Development of a strong coupling algorithm for partitioned FSI simulation.
  • * Acceleration of coupling iterations using a numerically calculated Jacobian.
  • * Derivation of an error analysis criterion for selecting usable coupling iterations.
  • * Validation through two 3D simulation cases of a BMHV.

Main Results:

  • * The developed coupling scheme demonstrates superior performance compared to existing methods.
  • * Significant reduction in the number of coupling iterations per time step.
  • * Substantial decrease in overall CPU time required for simulations.
  • * Successful testing on two distinct 3D BMHV models.

Conclusions:

  • * The novel strong coupling algorithm offers a more efficient approach for BMHV simulations.
  • * This method enhances the utility of numerical simulations in BMHV design and optimization.
  • * The findings suggest a potential advancement in computational cardiovascular device modeling.