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Efficient Multi-Fidelity Fluid-Structure Interaction Modeling for Pulsatile Blood Flow in Deformable Biological
Chang Min Lee1, Youngjae Choi1, Kiwon Lee2
1Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
This study introduces a new multi-fidelity fluid-structure interaction (FSI) framework for simulating tissue deformation and blood flow changes due to external compression. The efficient model accurately captures these effects, reducing computational cost for applications like compression therapy.
Area of Science:
- Biomedical Engineering
- Computational Mechanics
- Medical Device Development
Background:
- Simulating tissue deformation and altered blood flow from external compression typically requires computationally intensive fluid-structure interaction (FSI) analysis.
- Existing methods pose significant computational challenges for dynamic external pressure simulations.
Purpose of the Study:
- To develop and present a multi-fidelity FSI framework for efficient simulation of tissue mechanics and hemodynamics under dynamic external pressure.
- To demonstrate the framework's applicability to compression therapy and related biomedical applications.
Main Methods:
- Coupled a 1D deformable blood flow model with the 3D Cauchy equation of motion for fluid-structure interaction (FSI).
- Validated the multi-fidelity model against full FSI solutions in simplified and subject-specific geometries.
- Applied the framework to simulate intermittent pneumatic compression (IPC).
Main Results:
- The multi-fidelity FSI model accurately reproduced tissue deformation and hemodynamic changes with minimal flow-rate and pressure errors (<1% and <2% respectively).
- Achieved significant computational cost reductions: 9x in cylindrical and 46x in subject-specific geometries compared to full 3D FSI.
- Successfully captured dynamic IPC behavior over extended temporal scales.
Conclusions:
- The developed multi-fidelity FSI framework offers an efficient and accurate platform for simulating responses to external pressure.
- Enables large-scale parametric and optimization studies, with potential to enhance compression therapy device design and biomedical modeling.
- Supports broader applications in medical device development and clinical research.
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