Coarse Graining Turbulence
Modeling and Data-Driven Approaches and their Applications

A collection of reviews and surveys introducing the main methods and key applications of coarse graining techniques.

Fernando F. Grinstein (Edited by), Filipe S. Pereira (Edited by), Massimo Germano (Edited by)

9781009377348, Cambridge University Press

Hardback, published 6 February 2025

582 pages
26.1 x 18.5 x 3.6 cm, 1.26 kg

We live in a turbulent world observed through coarse grained lenses. Coarse graining (CG), however, is not only a limit but also a need imposed by the enormous amount of data produced by modern simulations. Target audiences for our survey are graduate students, basic research scientists, and professionals involved in the design and analysis of complex turbulent flows. The ideal readers of this book are researchers with a basic knowledge of fluid mechanics, turbulence, computing, and statistical methods, who are disposed to enlarging their understanding of the fundamentals of CG and are interested in examining different methods applied to managing a chaotic world observed through coarse-grained lenses.

Prologue. Coarse graining turbulence
Part I. Paradigms and Tools: 1. Numerical simulations and coarse graining Fernando F. Grinstein
2. An overview of scale-resolving simulation models for practical flows Filipe S. Pereira
3. Filtering approaches and coarse graining Massimo Germano
4. Filtered density function: a stochastic closure for coarse grained simulation Hua Zhou, Peyman Givi and Zhuyin Ren
5. Symmetries, subgrid-scale modeling, and coarse graining Martin Oberlack and Dario Klingenberg
6. Coarse graining turbulence using the Mori–Zwanzig formalism Eric Parish and Karthik Duraisamy
7. Data-driven modeling for coarse graining Richard D. Sandberg and Markus Klein
8. Verification, validation, uncertainty quantification, and coarse graining Filipe S. Pereira, William J. Rider, Fernando F. Grinstein and Luís Eça
Part II. Challenges: 9. Transition to turbulence Daniel M. Israel
10. Wall-bounded turbulence Robert D. Moser and Prakash Mohan
11. Scale-by-scale non-equilibrium in turbulent flows John Christos Vassilicos and Jean-Philippe Laval
12. Coarse graining in multiphase flows: from micro to meso to macroscale for Euler–Lagrange and Euler–Euler simulations S. Balachandar
13. Coarse graining for thermal flows Himani Garg, Gustav Karlsson, Lei Wang and Christer Fureby
14. High-order simulations of supersonic combustion Yun-Qin He and Guo-Zhu Liang
15. Coarse graining supersonic combustion Christer Fureby and Tommie Nilsson
16. Transition and multiphysics in inertial confinement fusion capsules Fernando F. Grinstein, Vincent P. Chiravalle, Brian M. Haines, Robert K. Greene and Filipe S. Pereira
17. Firestorms, fallout, and atmospheric turbulence induced by a nuclear detonation Jon Reisner, Eunmo Koo, Alexander Josephson and Alexander L. Brown
Epilogue. Outlook on coarse graining turbulence
List of Abbreviations
Index.

Subject Areas: Fluid mechanics [PHDF]