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Related Experiment Video

Updated: Jun 24, 2026

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Published on: February 13, 2021

Pediatric Cardiovascular Multiscale Modeling using a Functional Mock-up Interface.

Ellen E Garven¹, Ethan Kung², Randy M Stevens^3,4

¹School of Biomedical Engineering, Science and Health Systems, Drexel University, 3141 Chestnut Street, Rm. 718, Philadelphia, PA, 19104, USA. eg533@drexel.edu.

Cardiovascular Engineering and Technology

|January 6, 2025

Summary

This summary is machine-generated.

The Functional Mock-up Interface (FMI) effectively couples cardiovascular subsystems in complex multiscale models. This approach enhances integration for computational fluid dynamics and lumped parameter models, improving simulation accuracy.

Keywords:

Computational modeling Functional mock-up interface Multiscale modeling Single ventricle Univentricular

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Area of Science:

Cardiovascular physiology
Computational modeling
Multiscale systems

Background:

Cardiovascular models are increasingly complex, necessitating efficient subsystem integration.
Multiscale modeling captures more physiological detail but requires robust coupling methods.

Purpose of the Study:

To demonstrate the effectiveness of the Functional Mock-up Interface (FMI) for coupling cardiovascular subsystems.
To apply FMI to a multiscale cardiovascular model integrating computational fluid dynamics (CFD) and lumped parameter models (LPM).

Main Methods:

Coupled a CFD model with an LPM packaged using the FMI standard.
Utilized an FMI co-simulation architecture within ANSYS CFX and Python.
Validated the FMI coupling in a univentricular parallel circulation model against clinical data and a prior model.

Main Results:

Achieved effective inter-subsystem communication, exchanging pressure and flow data at each time step.
Successfully recreated physiological pressures and flows consistent with clinical measurements.
Reproducibly generated results comparable to a previously published patient-specific computational model.

Conclusions:

FMI integration with ANSYS CFX provides an effective method for interfacing cardiovascular multiscale models.
FMI promotes a modular approach to tool integration, beneficial for complex system modeling.
This methodology facilitates advanced simulations of cardiovascular dynamics.