Data-Driven Pulsatile Blood Flow Physics with Dynamic Mode Decomposition

Data-Driven Pulsatile Blood Flow Physics with Dynamic Mode Decomposition

Dynamic mode decomposition (DMD) is a purely data-driven and equation-free technique for reduced-order modeling of dynamical systems and fluid flow. DMD finds a best fit linear reduced-order model that represents any given spatiotemporal data. In DMD, each mode evolves with a fixed frequency and the...

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Bibliographic Details
Main Authors: Milad Habibi, Scott T. M. Dawson, Amirhossein Arzani
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Fluids
Subjects:
hemodynamics
reduced-order modeling
wall shear stress
data-driven modeling
coherent structures
modal analysis
Online Access:https://www.mdpi.com/2311-5521/5/3/111

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https://www.mdpi.com/2311-5521/5/3/111

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