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

Simulation of branching blood flows on parallel computers.

Xue Yue1, Feng-Nan Hwang, Robin Shandas

  • 1Dept. of Computer Science, Univ. of Colorado at Boulder, Boulder, CO 80309, USA.

Biomedical Sciences Instrumentation
|May 12, 2004
PubMed
Summary

We developed a parallel algorithm for simulating blood flow in complex geometries. This robust method efficiently solves nonlinear equations for accurate coronary artery flow modeling.

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

Computational hemodynamic analysis of renal blood flow and the impact of outflow boundary conditions.

Biomechanics and modeling in mechanobiology·2026
Same author

Minimally invasive capsule-string device enables spatially resolved microbiome profiling across the upper gastrointestinal tract.

Gut microbes·2026
Same author

Roles of Ferrostatin-1 and Resveratrol in Noise-Induced Hearing Loss: Distinct Protection via Ferroptosis and Oxidative-Apoptotic Pathways.

Noise & health·2026
Same author

Computational Modeling of the Kidney Hemodynamics With a Coupled Unsteady Stokes-Darcy Model.

International journal for numerical methods in biomedical engineering·2025
Same author

A Functional Region-Based Approach for the Numerical Simulation of Patient-Specific Cerebral Blood Flows With Clinical Validation.

IEEE transactions on bio-medical engineering·2025
Same author

Development of a Novel, Low-Power, Ultrasound Algorithm for the Detection of Pneumothorax Using a Large Animal Model.

Military medicine·2025

Area of Science:

  • Computational fluid dynamics
  • Biomedical engineering
  • Numerical analysis

Background:

  • Simulating blood flow in branching vessels presents challenges due to high nonlinearity and complex geometries.
  • Accurate modeling requires significant computational resources and robust numerical solvers.

Purpose of the Study:

  • To introduce a fully parallel, nonlinearly implicit algorithm for blood flow simulation.
  • To address the need for efficient and robust solver technologies in complex hemodynamics.

Main Methods:

  • Developed a parallel Newton-Krylov-Schwarz based implicit method.
  • Utilized Q2-Q1 finite element discretization for the incompressible Navier-Stokes equations.
  • Implemented software for distributed memory parallel computers.

Related Experiment Videos

Main Results:

  • The algorithm effectively handles the high nonlinearity and complex geometry of branching blood flow.
  • Demonstrated the capability for accurate numerical simulation of blood flow in the left anterior descending coronary artery.

Conclusions:

  • The presented parallel algorithm provides an efficient and robust solution for simulating complex blood flow problems.
  • This approach is crucial for advancing the understanding and treatment of cardiovascular diseases.