Data Driven Analysis and Modeling of Turbulent Flows
Author(s): Karthik Duraisamy
- Publisher: Academic Press
- Publication Date: June 20, 2025
- Edition: 1st
- Language: English
- Print length: 414 pages
- ISBN-10: 0323950434
- ISBN-13: 9780323950435
Book Description
The book is organized into three parts:
- Exploration of techniques for discovering coherent structures within turbulent flows, introducing advanced decomposition methods
- Methods for estimation and control using data assimilation and machine learning approaches
- Finally, novel modeling techniques that combine physical insights with machine learning
This book is intended for students, researchers, and practitioners in fluid mechanics, though readers from related fields such as applied mathematics, computational science, and machine learning will find it also of interest.
- Exploration of techniques for discovering coherent structures within turbulent flows, introducing advanced decomposition methods
- Methods for estimation and control using data assimilation and machine learning approaches
- Finally, novel modeling techniques that combine physical insights with machine learning
Editorial Reviews
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