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

498
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.
498
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
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
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

436
Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
436
Rapidly Varying Flow01:24

Rapidly Varying Flow

189
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
189
Plane Potential Flows01:23

Plane Potential Flows

530
Plane potential flows simplify fluid motion by assuming the fluid to be irrotational and incompressible. These characteristics allow these flows to be described by a velocity potential function, ϕ, representing the flow speed in a given direction, and a stream function, ψ, that visualizes the flow path, both governed by Laplace's equation. These parameters help in estimating flow patterns, velocity distributions, and pressure fields around various hydraulic structures.
Uniform...
530

You might also read

Related Articles

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

Sort by
Same author

Machine learning surrogate forward models for biomechanical laryngeal control.

bioRxiv : the preprint server for biology·2026
Same author

A beam-membrane biomechanical vocal fold model incorporating posturing and glottal conformation.

ArXiv·2026
Same author

Investigating the effects of vertical misalignment and stiffness asymmetry on phonation in a synthetic vocal fold model.

The Journal of the Acoustical Society of America·2026
Same author

Multi-timescale finite element modeling of vocal fold edema progression due to phonotrauma.

The Journal of the Acoustical Society of America·2026
Same author

Inferring the metabolic rate of zebrafish in still water from mouth opening and pectoral-fin beating.

Journal of fish biology·2025
Same author

Dual-modality flow phantom for ultrasound and optical flow measurements.

Physics in medicine and biology·2025

Related Experiment Video

Updated: Nov 1, 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

The influence of flow model selection on finite element model parameter estimation using Bayesian inference.

Paul J Hadwin1, Byron D Erath2, Sean D Peterson1

  • 1Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada.

JASA Express Letters
|June 17, 2021
PubMed
Summary

Bayesian estimation and finite element modeling can estimate vocal fold properties. Accounting for fluid flow separation improves accuracy, matching viscous models when separation is estimated.

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
Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure
07:15

Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure

Published on: April 25, 2025

698

Related Experiment Videos

Last Updated: Nov 1, 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
Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure
07:15

Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure

Published on: April 25, 2025

698

Area of Science:

  • Biomechanics
  • Computational modeling
  • Vocal fold dynamics

Background:

  • Accurate estimation of vocal fold material properties is crucial for understanding voice production.
  • Bayesian estimation with finite element modeling (FEM) offers a promising approach using high-speed video data.
  • The influence of fluid dynamics models on these estimations requires further investigation.

Purpose of the Study:

  • To investigate the sensitivity of vocal fold material property estimations to different fluid flow models.
  • To compare the impact of Bernoulli and viscous fluid flow models on parameter estimation accuracy.
  • To assess the effect of specifying versus estimating the flow separation location.

Main Methods:

  • Utilized Bayesian estimation techniques.
  • Employed finite element modeling (FEM) for vocal fold simulation.
  • Compared Bernoulli and one-dimensional viscous fluid flow models.
  • Varied the treatment of the flow separation location (prescribed vs. estimated).

Main Results:

  • Prescribing the separation location in the Bernoulli model introduced significant estimation biases.
  • Estimating the separation location within the Bernoulli model yielded results comparable to the viscous model.
  • The choice of fluid model and handling of separation critically impact parameter estimation.

Conclusions:

  • Careful consideration of fluid dynamics, particularly flow separation, is essential for accurate vocal fold property estimation.
  • Estimating the separation location improves the robustness of the Bernoulli model.
  • This work refines computational methods for voice production research.