Related Experiment Video
Updated: Aug 14, 2026

09:57
Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training
Published on: January 18, 2021
Modeling 3-D compliant blood flow with FOSLS
Jeffrey J Heys1, Curt DeGroff, Tom Manteuffel
1Department of Applied Mathematics, University of Colorado at Boulder 80309-0526, USA.
Summary
This study introduces a new multilevel least-squares finite element method for modeling blood flow in vessels. This approach offers improved accuracy and linear scalability compared to traditional methods.
Area of Science:
- Computational fluid dynamics
- Biomedical engineering
- Numerical analysis
Background:
- Modeling blood flow in large vessels involves complex fluid-solid interactions.
- Deforming vessel walls necessitate computationally intensive re-mapping techniques.
- Existing iterative methods for fluid-structure interaction can be inefficient and lack optimal scalability.
Purpose of the Study:
- To present a novel multilevel least-squares (LS) finite element approach for blood flow modeling.
- To overcome limitations of traditional iterative methods in terms of computational cost and scalability.
- To provide an a posteriori error measure for the finite element approximation.
Main Methods:
- Developed a multilevel minimization technique for finite element approximation error using a least-squares norm.
- Applied the method to the coupled system of fluid (Navier-Stokes) and solid (elasticity) equations.
- Compared the LS finite element approach against the commercial package CFD-ACE.
Main Results:
- The multilevel LS finite element approach demonstrates linear computational cost growth with degrees of freedom.
- This method achieves optimal scalability, particularly in serial environments.
- Significant degradation in performance was observed with other methods as problem size increased.
Conclusions:
- The multilevel LS finite element method offers a more efficient and scalable solution for blood flow modeling.
- This approach provides superior accuracy and computational performance compared to conventional numerical methods.
- The technique's flexibility and inherent error measure enhance its utility in complex biomechanical simulations.

