Coarse Graining Turbulence
Coarse Graining Turbulence
Modeling and Data-Driven Approaches and their Applications
Fernando F. Grinstein
, Los Alamos National Laboratory
Filipe S. Pereira , Los Alamos National Laboratory
Massimo Germano , Duke University, North Carolina
Filipe S. Pereira , Los Alamos National Laboratory
Massimo Germano , Duke University, North Carolina
February 2025
Available
Hardback
9781009377348
£155.00
GBPHardback
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.
- Provides a comprehensive overview of methods used to compute turbulent flows
- Opens with chapters exploring the mathematical and computational aspects of coarse graining
- Part II deals with turbulence modeling difficulties and frontier applications
Product details
February 2025Hardback
9781009377348
580 pages
275 × 218 × 12 mm
0.56kg
Available
