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 Experiment Videos

Lattice-based flow field modeling.

Xiaoming Wei1, Ye Zhao, Zhe Fan

  • 1Department of Computer Science, Stony Brook University, Stony Brook NY 11794-4400, USA. wxiaomin@cs.sunysb.edu

IEEE Transactions on Visualization and Computer Graphics
|November 6, 2004
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

VolMoVis: Real-Time Volume Generation and Motion Visualization with Dynamic Tomographic Reconstruction.

IEEE transactions on visualization and computer graphics·2025
Same author

What Draws Your Attention First? An Attention Prediction Model Based on Spatial Features in Virtual Reality.

IEEE transactions on visualization and computer graphics·2025
Same author

Explainable XR: Understanding User Behaviors of XR Environments Using LLM-Assisted Analytics Framework.

IEEE transactions on visualization and computer graphics·2025
Same author

VoxAR: Adaptive Visualization of Volume Rendered Objects in Optical See-Through Augmented Reality.

IEEE transactions on visualization and computer graphics·2023
Same author

Submerse: Visualizing Storm Surge Flooding Simulations in Immersive Display Ecologies.

IEEE transactions on visualization and computer graphics·2023
Same author

MD-Cave: An Immersive Visualization Workbench for Radiologists.

IEEE transactions on visualization and computer graphics·2022
Same journal

Blue Noise Dithering for Reservoir-based Spatio-temporal Importance Resampling.

IEEE transactions on visualization and computer graphics·2026
Same journal

ROS-GS: Relightable Outdoor Scenes With Gaussian Splatting.

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

This study introduces a real-time simulation for fluid-object interactions using the Lattice Boltzmann Model (LBM) on graphics hardware (GPU). It visualizes complex dynamics like soap bubble undulations and feather fluttering, enabling interactive flow manipulation.

Area of Science:

  • Computational physics
  • Fluid dynamics simulation
  • Computer graphics

Background:

  • Simulating natural dynamics of fluid-object interactions is computationally intensive.
  • Real-time feedback for interactive fluid simulations is challenging.
  • Visualizing unseen flow fields requires sophisticated methods.

Purpose of the Study:

  • To develop a real-time simulation approach for fluid-object dynamics.
  • To enable interactive manipulation of flow fields.
  • To visualize complex fluid behaviors and their effects on immersed objects.

Main Methods:

  • Utilizing the Lattice Boltzmann Model (LBM) for flow field computation.
  • Implementing specialized boundary conditions for moving objects.
  • Leveraging graphics processing units (GPUs) for accelerated computation.

Related Experiment Videos

Main Results:

  • Achieved real-time performance for fluid-object interaction simulations.
  • Demonstrated simulation of soap bubble dynamics, including Fresnel reflection and undulations.
  • Visualized feather behavior under lift and drag forces, including vortex generation.

Conclusions:

  • The proposed LBM-GPU approach enables efficient and interactive simulation of fluid-object dynamics.
  • The simulation effectively visualizes complex phenomena like bubble deformation and feather motion.
  • This method offers a powerful tool for scientific visualization and interactive design in fluid dynamics.