Bibliographic Details
| Title: |
A Multi-Component, Multi-Physics Computational Model for Solving Coupled Cardiac Electromechanics and Vascular Haemodynamics |
| Authors: |
Lo, Sharp C. Y., Zingaro, Alberto, McCullough, Jon W. S., Xue, Xiao, Vázquez, Mariano, Coveney, Peter V. |
| Publication Year: |
2024 |
| Collection: |
Physics (Other) |
| Subject Terms: |
Physics - Fluid Dynamics, Physics - Computational Physics, J.2 |
| More Details: |
The circulatory system, comprising the heart and blood vessels, is vital for nutrient transport, waste removal, and homeostasis. Traditional computational models often isolate individual biophysical processes, such as cardiac electromechanics and blood flow dynamics, failing to capture the system's integrated nature. This paper presents an innovative approach that couples a 3D electromechanical model of the heart with a 3D fluid mechanics model of vascular blood flow. Our file-based partitioned coupling scheme allows these models to run independently while sharing essential data through intermediate files. We validate this approach using two solvers: one for cardiac electromechanics and the other for vascular blood flow. Developed by separate research groups, these solvers emphasise different dynamical scales and utilise distinct discretisation schemes. Numerical simulations using idealised and realistic anatomies show that the implemented coupling scheme is reliable and requires minimal additional computation time relative to advancing individual time steps in the heart and blood flow models. Notably, the coupled model predicts muscle displacement differently than the standalone heart model, highlighting the influence of detailed vascular blood flow on cardiac function. This study presents a paradigm case of how to build virtual human models and digital twins by productive collaboration between teams with complementary expertise.
Comment: 31 pages, 13 figures |
| Document Type: |
Working Paper |
| Access URL: |
http://arxiv.org/abs/2411.11797 |
| Accession Number: |
edsarx.2411.11797 |
| Database: |
arXiv |
