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

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.
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:
Viscosity of Fluid01:19

Viscosity of Fluid

Viscosity measures the resistance a fluid offers to flow and deformation. It results from internal friction between layers of fluid moving relative to one another. Dynamic viscosity, denoted by the Greek letter mu (μ), quantifies the force needed to move one fluid layer over another. For Newtonian fluids like water and air, the relationship between the shearing stress and the rate of shearing strain is linear, meaning their viscosity remains constant regardless of the applied stress.
Density00:56

Density

Density is an important characteristic of substances, crucial in determining whether an object sinks or floats in a fluid. Its SI unit is kg/m3, and its cgs unit is g/cm3. The density of an object helps in identifying its composition, and also reveals information about the phase of the matter and its substructure. The densities of liquids and solids are roughly comparable, consistent with the fact that their atoms are in close contact. However, gases have much lower densities than liquids and...
Density, Specific Weight, Specific Gravity and Compressibility of Fluid01:27

Density, Specific Weight, Specific Gravity and Compressibility of Fluid

Density, specific weight, specific gravity, and compressibility are fundamental properties of fluids. Density is the mass per unit volume, characterizing the mass of a fluid system. It influences buoyancy, pressure, flow dynamics, viscosity, thermal conductivity, and sound propagation. For instance, in pipeline design, accurate density measurements ensure that the pipeline can handle the fluid's mass.
Specific weight represents the weight per unit volume and is calculated by multiplying density...
Pressure of Fluids01:14

Pressure of Fluids

There are many examples of pressure in fluids in everyday life, such as in relation to blood (high or low blood pressure) and in relation to weather (high- and low-pressure weather systems). A given force can have a significantly different effect, depending on the area over which the force is exerted. For instance, a force applied to an area of 1 mm2 has a pressure that is 100 times greater than the same force applied to an area of 1 cm2. That's why a sharp needle is able to poke through skin...

You might also read

Related Articles

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

Sort by
Same author

From Bench to Reality: The Role of Natural Contaminations in LER Investigations: Poster presented at PDA Microbiology Conference 2025.

PDA journal of pharmaceutical science and technology·2026
Same author

Superimmunity by pan-sarbecovirus nanobodies.

Cell reports·2025
Same author

Midfrequency acoustic propagation and reverberation in a deep ice-covered Arctic ocean.

The Journal of the Acoustical Society of America·2022
Same author

Superimmunity by pan-sarbecovirus nanobodies.

Cell reports·2022
Same author

Recombinant Factor C Validation-Simpler Than You Think!

PDA journal of pharmaceutical science and technology·2021
Same author

Buried targets in layered media: A combined finite element/physical acoustics model and comparison to data on a half buried 2:1 cylinder.

The Journal of the Acoustical Society of America·2017
Same journal

High-resolution depth estimation for multiple wideband sources in deep sea via sparse Bayesian learninga).

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

Depression markers in speech: An approach based on tract variables dynamics.

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

The oyster toadfish (Opsanus tau) alters active and diurnal calling amid vessel noise in New York City.

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

Experimental noise characterisation of phase-locked tandem-rotor in edgewise flight.

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

The tune-text-temporal synergy: Prosodic effects of final segmental weakening in Neapolitan.

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

Monitoring vessel movement above critical offshore infrastructure using distributed acoustic sensing.

The Journal of the Acoustical Society of America·2026
See all related articles

Related Experiment Video

Updated: May 11, 2026

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

Adding thermal and granularity effects to the effective density fluid model.

Kevin L Williams1

  • 1Applied Physics Laboratory, College of Ocean and Fishery Sciences, University of Washington, Seattle, Washington 98105, USA. williams@apl.washington.edu

The Journal of the Acoustical Society of America
|May 10, 2013
PubMed
Summary
This summary is machine-generated.

This study enhances the effective density fluid model (EDFM) for granular sediments by incorporating heat transfer and granularity effects. The improved model accurately predicts sound speed and attenuation across a wide frequency range without free parameters.

More Related Videos

A Computational Modeling Approach to Investigate the Influence of Hyperthermia on the Tumor Microenvironment
10:23

A Computational Modeling Approach to Investigate the Influence of Hyperthermia on the Tumor Microenvironment

Published on: December 1, 2023

Related Experiment Videos

Last Updated: May 11, 2026

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

A Computational Modeling Approach to Investigate the Influence of Hyperthermia on the Tumor Microenvironment
10:23

A Computational Modeling Approach to Investigate the Influence of Hyperthermia on the Tumor Microenvironment

Published on: December 1, 2023

Area of Science:

  • Acoustics
  • Geophysics
  • Fluid Dynamics

Background:

  • The effective density fluid model (EDFM) previously modeled unconsolidated granular sediments.
  • The EDFM is a simplified version of the Biot porous media model.
  • Existing models may not fully capture complex acoustic behaviors in granular media.

Purpose of the Study:

  • To enhance the effective density fluid model (EDFM) by incorporating additional physical effects.
  • To investigate the impact of heat transfer and medium granularity on acoustic properties.
  • To validate the enhanced model against experimental ocean data.

Main Methods:

  • Analytical modeling incorporating low-frequency heat transfer and high-frequency granularity effects into the EDFM.
  • Derivation of expressions for sound speed and attenuation.
  • Comparison of model predictions with real-world ocean acoustic data.

Main Results:

  • The enhanced EDFM provides analytical expressions for sound speed and attenuation.
  • The model successfully incorporates heat transfer and granularity effects.
  • The derived expressions contain no adjustable or free parameters.
  • Model predictions show good agreement with ocean data.

Conclusions:

  • The enhanced EDFM offers a more comprehensive description of acoustic wave propagation in granular sediments.
  • The model's ability to predict acoustic properties without free parameters enhances its predictive power.
  • This improved model has significant implications for underwater acoustics and geophysical exploration.