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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