Data Driven Analysis and Modeling of Turbulent Flows

Data Driven Analysis and Modeling of Turbulent Flows

Duraisamy, Karthik

Elsevier Science & Technology

03/2025

460

Mole

9780323950435

Pré-lançamento - envio 15 a 20 dias após a sua edição

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1. A roadmap for data-driven analysis and modeling of turbulent flows
2. Modal decomposition: POD, SPOD, DMD
3. Statistical learning: Neural nets, sparse regression, Lasso
4. Resolvents
5. Projection-based Reduced Order Modeling
6. Data-assimilation and flow estimation
7. Data-driven control
8. Model-consistent inference and learning
9. Parameter estimation and uncertainty quantification
10. Stress representations
11. Evolutionary optimization
12. Emerging topics: Super resolution
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Statistical learning; Machine Learning; Reduced order modeling; Data-driven modeling and control; Turbulence modeling