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Pediatric Cardiovascular Multiscale Modeling using a Functional Mock-up Interface
Journal article   Open access   Peer reviewed

Pediatric Cardiovascular Multiscale Modeling using a Functional Mock-up Interface

Ellen Elizabeth Garven, Ethan Kung, Randy M Stevens and Amy Throckmorton
Cardiovascular engineering and technology
06 Jan 2025
Featured in Collection :   Research Supported by Drexel Libraries' OA Programs
url
https://doi.org/10.1007/s13239-024-00767-6View
Published, Version of Record (VoR)Open Access via Drexel Libraries Read and Publish Program 2024CC BY V4.0 Open

Abstract

Computational modeling Functional mock-up interface Multiscale modeling Single ventricle Univentricular
Purpose Computational models of the cardiovascular system continue to increase in complexity. As more elements of the physiology are captured in multiscale models, there is a need to efficiently integrate subsystems. The objective of this study is to demonstrate the effectiveness of a coupling methodology, called functional mock-up interface (FMI), as applied to multiscale cardiovascular modeling. Methods The multiscale model is composed of two subsystems: a computational fluid dynamics (CFD) model coupled to a lumped parameter model (LPM). The LPM is packaged using the FMI standard and imported into the CFD subsystem using an FMI co-simulation architecture. The functionality of an FMI coupling was demonstrated in a univentricular parallel circulation by means of compatible tools, including ANSYS CFX and Python. Predicted pressures and flows were evaluated in comparison with clinical data and a previously developed computational model. Results The two models exchanged pressure and flow data between their boundaries at each timestep, demonstrating sufficient inter-subsystem communication. The models recreated pressures and flows from clinical measurements and a patient-specific model previously published. Conclusion FMI integrated with ANSYS CFX is an effective approach for interfacing cardiovascular multiscale models as demonstrated by the presented univentricular circulatory model. FMI offers a modular approach towards tool integration and is an advantageous strategy for modeling complex systems.

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Collaboration types
Domestic collaboration
Web of Science research areas
Cardiac & Cardiovascular Systems
Engineering, Biomedical
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