Data-driven nonlinear constitutive relations for rarefied flow computations

Data-driven nonlinear constitutive relations for rarefied flow computations

Abstract To overcome the defects of traditional rarefied numerical methods such as the Direct Simulation Monte Carlo (DSMC) method and unified Boltzmann equation schemes and extend the covering range of macroscopic equations in high Knudsen number flows, data-driven nonlinear constitutive relations...

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Bibliographic Details
Main Authors: Wenwen Zhao, Lijian Jiang, Shaobo Yao, Weifang Chen
Format: Article
Language:English
Published: SpringerOpen 2021-10-01
Series:Advances in Aerodynamics
Subjects:
Data-driven method
Shock wave structure
Hypersonic flow
Rarefied gas dynamics
Online Access:https://doi.org/10.1186/s42774-021-00085-8

Internet

https://doi.org/10.1186/s42774-021-00085-8

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