Coarse Graining Turbulence

Fernando F. Grinstein has been a Staff Scientist at Los Alamos National Laboratory since 2005. Grinstein was the 2003–2004 LANL Orson Anderson Distinguished Visiting Scholar, and was Research Physicist at the US Naval Research Laboratory in Washington DC (1983–2005). Grinstein has authored two Cambridge University Press books: 'Implicit LES: Computing Turbulent Flow Dynamics' (2007, 2010) – with Len Margolin and William Rider – and 'Coarse Grained Simulation and Turbulent Mixing' (2016). Filipe S. Pereira has been Staff Scientist at Los Alamos National Laboratory since 2022. He received his PhD in Computational Engineering from Instituto Superior Técnico in 2018. His PhD research was conducted at Instituto Superior Técnico, Maritime Research Institute Netherlands, and Texas A&M University. Pereira's research focuses on numerical prediction, turbulence modeling, scale-resolving simulation and Reynolds averaged Navier–Stokes equations modeling, verification, validation, and uncertainty quantification of complex flows. Massimo Germano joined the Politecnico di Torino in 1965, where he served as Full Professor in Gas Dynamics from 1981 till his retirement in 2012. He is presently an Adjunct Professor at Duke University, Department of Civil and Environmental Engineering. Germano has contributed to the advancement in the field of LES by proposing a new multiscale operational filtering approach based on the generalized central moments. An important application has been the Dynamic Model, developed jointly with Stanford University.

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 Sivaramakrishnan 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 Alex Brown; Epilogue. Outlook on coarse graining turbulence; List of Abbreviations; Index.