CFD simulation of flow through heart: a perspective review

S S Khalafvand1, E Y K Ng, L Zhong

  • 1School of Mechanical and Aerospace Engineering, College of Engineering, 50 Nanyang Avenue, Nanyang Technological University, Singapore. sskhalafvand@pmail.ntu.edu.sg

Insights

Simulating heart function requires simultaneous computation of blood flow and heart wall motion. Realistic fluid-structure interaction modeling improves accuracy for complex cardiac dynamics.

Area of Science:

  • Biomedical Engineering
  • Computational Fluid Dynamics
  • Cardiac Mechanics

Background:

  • The heart's function involves complex interactions between blood flow and the contracting muscular wall.
  • Accurate computational modeling of the heart is challenging due to the coupled nature of fluid and solid mechanics.
  • Existing computational fluid dynamics (CFD) models often rely on simplifying assumptions, limiting their realism.

Purpose of the Study:

  • To present a realistic fluid-structure interaction (FSI) modeling approach for the heart.
  • To highlight the importance of accurate boundary conditions and coupling algorithms in cardiac CFD.
  • To outline a comprehensive computational framework for simulating integrated heart function.

Main Methods:

  • Employing the finite element method (FEM) for modeling the cardiac structure.
  • Utilizing CFD for simulating blood fluid dynamics.
  • Implementing advanced coupling algorithms for realistic fluid-structure interaction.

Main Results:

  • The proposed FSI method provides a more realistic approach to cardiac modeling compared to traditional CFD.
  • This method effectively addresses the complexities of cardiac structure and fluid-structure interactions.
  • It lays the groundwork for integrating multiple aspects of cardiac function in silico.

Conclusions:

  • Realistic fluid-structure interaction modeling is crucial for accurate cardiac simulation.
  • Advanced computational methods enable a more comprehensive understanding of heart function.
  • The ultimate goal is a unified computational framework integrating anatomy, electrophysiology, mechanics, metabolism, and fluid dynamics.

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