A Hybrid Analytics Paradigm Combining Physics-Based Modeling and Data-Driven Modeling to Accelerate Incompressible Flow Solvers

A Hybrid Analytics Paradigm Combining Physics-Based Modeling and Data-Driven Modeling to Accelerate Incompressible Flow Solvers

Numerical solution of the incompressible Navier–Stokes equations poses a significant computational challenge due to the solenoidal velocity field constraint. In most computational modeling frameworks, this divergence-free constraint requires the solution of a Poisson equation at every step...

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Bibliographic Details
Main Authors: Sk. Mashfiqur Rahman, Adil Rasheed, Omer San
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Fluids
Subjects:
hybrid analytics
physics-based modeling
data-driven modeling
proper orthogonal decomposition
Poisson solver
Navier–Stokes equations
Online Access:http://www.mdpi.com/2311-5521/3/3/50

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http://www.mdpi.com/2311-5521/3/3/50

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