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Parameter analysis in continuous data assimilation for various turbulence models

delete2025-06-27
delete0
PRE
AI
D
Débora A. F. Albanez
M
Maicon J. Benvenutti
S
Samuel Little
J
Jing Tian
DOI：10.1016/j.cnsns.2025.109073delete
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Abstract

Abstract

En 中文
• Parameter estimation analysis for two turbulence models. • Data assimilation algorithms are designed for two turbulence models. • Long-time error between assimilated and physical solutions for both turbulence models. • Results are illustrated and verified by numerical simulations.

Journal

Communications in Nonlinear Science and Numerical Simulation cover
Communications in Nonlinear Science and Numerical Simulation
IF:
3.8
Papers:
9.2K
Citations:
1.8W

Organization

No organization information available