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

2.4K
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:
2.4K
Typical Model Studies01:30

Typical Model Studies

684
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.
684
Newtonian Fluid: Problem Solving01:18

Newtonian Fluid: Problem Solving

1.1K
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...
1.1K
Liquid–Solid Solutions01:29

Liquid–Solid Solutions

97
The process of a solid dissolving in a liquid to form a solution is governed by the solubility limit, which is the maximum amount of the solid substance, or solute, that can be dissolved in a specific volume of the liquid or solvent. As the solute dissolves, it reaches a point where no more solute can be dissolved at a given temperature - this is known as the saturation point. However, if further solute is added and it manages to dissolve, the solution becomes supersaturated. Supersaturated...
97
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

907
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.
907
Surface Tension of Fluid01:22

Surface Tension of Fluid

2.0K
Surface tension is a fundamental property of fluids, occurring at the boundary between a liquid and a gas or between two immiscible liquids. This phenomenon arises from the cohesive forces between molecules at the fluid's surface, creating an effect similar to a stretched elastic membrane. Inside each fluid, molecules are equally attracted in all directions by neighboring molecules, but surface molecules experience a net inward force, resulting in surface tension.
Surface tension varies...
2.0K

You might also read

Related Articles

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

Sort by
Same author

SGLDBench: A Benchmark Suite for Stress-Guided Lightweight 3D Designs.

IEEE transactions on visualization and computer graphics·2025
Same author

Adaptive Sampling of 3D Spatial Correlations for Focus+Context Visualization.

IEEE transactions on visualization and computer graphics·2023
Same author

Spatio-Temporal Visual Analysis of Turbulent Superstructures in Unsteady Flow.

IEEE transactions on visualization and computer graphics·2023
Same author

Differentiable Direct Volume Rendering.

IEEE transactions on visualization and computer graphics·2021
Same author

Interactive Focus+Context Rendering for Hexahedral Mesh Inspection.

IEEE transactions on visualization and computer graphics·2021
Same author

Visual Analysis of Multi-Parameter Distributions Across Ensembles of 3D Fields.

IEEE transactions on visualization and computer graphics·2021
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026
Same journal

RTF2Mesh: Restricted Tangent Face Based Mesh Compression With Neural Displacement Fields.

IEEE transactions on visualization and computer graphics·2026
Same journal

Practical Occluder Generation for Mobile Games.

IEEE transactions on visualization and computer graphics·2026
See all related articles

Related Experiment Video

Updated: Apr 4, 2026

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

13.5K

Large-Scale Liquid Simulation on Adaptive Hexahedral Grids.

Florian Ferstl, Rudiger Westermann, Christian Dick

    IEEE Transactions on Visualization and Computer Graphics
    |September 11, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an adaptive octree grid method for liquid simulations, reducing memory needs by coarsening elements. This approach enables high-resolution fluid simulations in complex domains efficiently.

    More Related Videos

    Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation
    09:49

    Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation

    Published on: November 18, 2015

    12.9K
    Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
    07:31

    Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches

    Published on: September 1, 2023

    3.4K

    Related Experiment Videos

    Last Updated: Apr 4, 2026

    Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
    10:52

    Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

    Published on: April 12, 2019

    13.5K
    Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation
    09:49

    Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation

    Published on: November 18, 2015

    12.9K
    Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
    07:31

    Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches

    Published on: September 1, 2023

    3.4K

    Area of Science:

    • Computational fluid dynamics
    • Numerical analysis
    • Computer graphics

    Background:

    • Regular grids offer computational efficiency but struggle with memory constraints for complex, high-resolution fluid simulations.
    • Simulating intricate fluid dynamics in complex geometries necessitates memory-efficient approaches.

    Purpose of the Study:

    • To develop a memory-efficient method for liquid simulations using adaptive grids.
    • To enable high-resolution fluid simulations in complex domains by overcoming memory limitations.

    Main Methods:

    • Utilizing an adaptive octree grid with hexahedral finite element discretization to reduce memory usage.
    • Implementing Nitsche methods for second-order accurate free surface boundary conditions.
    • Constructing a multigrid hierarchy for efficient geometric multigrid solving.
    • Employing composite finite elements at coarser scales for improved solver convergence.

    Main Results:

    • Significant reduction in memory requirements compared to non-adaptive methods.
    • Successful simulation of complex liquid behaviors that would be prohibitive with traditional grids.
    • Demonstrated effectiveness for high-resolution fluid simulations requiring fewer elements.

    Conclusions:

    • The adaptive octree grid method offers a viable solution for memory-constrained, high-resolution liquid simulations.
    • The integration of Nitsche methods and multigrid solvers enhances accuracy and efficiency.
    • This approach opens possibilities for more complex fluid dynamics research and applications.