{"product_id":"coarse-graining-turbulence-modeling-and-data-driven-approaches-and-their-applications-hardback-9781009377348","title":"Coarse Graining Turbulence; Modeling and Data-Driven Approaches and their Applications (Hardback) 9781009377348","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eCoarse Graining Turbulence\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eModeling and Data-Driven Approaches and their Applications\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003eA collection of reviews and surveys introducing the main methods and key applications of coarse graining techniques.\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eFernando F. Grinstein (Edited by), Filipe S. Pereira (Edited by), Massimo Germano (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781009377348, Cambridge University Press\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 6 February 2025\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e582 pages\u003cbr\u003e26.1 x 18.5 x 3.6 cm, 1.26 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eWe 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.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePrologue. Coarse graining turbulence\u003cbr\u003e Part I. Paradigms and Tools: 1. Numerical simulations and coarse graining Fernando F. Grinstein\u003cbr\u003e 2. An overview of scale-resolving simulation models for practical flows Filipe S. Pereira\u003cbr\u003e 3. Filtering approaches and coarse graining Massimo Germano\u003cbr\u003e 4. Filtered density function: a stochastic closure for coarse grained simulation Hua Zhou, Peyman Givi and Zhuyin Ren\u003cbr\u003e 5. Symmetries, subgrid-scale modeling, and coarse graining Martin Oberlack and Dario Klingenberg\u003cbr\u003e 6. Coarse graining turbulence using the Mori–Zwanzig formalism Eric Parish and Karthik Duraisamy\u003cbr\u003e 7. Data-driven modeling for coarse graining Richard D. Sandberg and Markus Klein\u003cbr\u003e 8. Verification, validation, uncertainty quantification, and coarse graining Filipe S. Pereira, William J. Rider, Fernando F. Grinstein and Luís Eça\u003cbr\u003e Part II. Challenges: 9. Transition to turbulence Daniel M. Israel\u003cbr\u003e 10. Wall-bounded turbulence Robert D. Moser and Prakash Mohan\u003cbr\u003e 11. Scale-by-scale non-equilibrium in turbulent flows John Christos Vassilicos and Jean-Philippe Laval\u003cbr\u003e 12. Coarse graining in multiphase flows: from micro to meso to macroscale for Euler–Lagrange and Euler–Euler simulations S. Balachandar\u003cbr\u003e 13. Coarse graining for thermal flows Himani Garg, Gustav Karlsson, Lei Wang and Christer Fureby\u003cbr\u003e 14. High-order simulations of supersonic combustion Yun-Qin He and Guo-Zhu Liang\u003cbr\u003e 15. Coarse graining supersonic combustion Christer Fureby and Tommie Nilsson\u003cbr\u003e 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\u003cbr\u003e 17. Firestorms, fallout, and atmospheric turbulence induced by a nuclear detonation Jon Reisner, Eunmo Koo, Alexander Josephson and Alexander L. Brown\u003cbr\u003e Epilogue. Outlook on coarse graining turbulence\u003cbr\u003e List of Abbreviations\u003cbr\u003e Index.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Fluid mechanics [\u003ca title=\"See our other books on Fluid mechanics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Fluid%20mechanics%20%5BPHDF%5D%22\"\u003ePHDF\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Cambridge University Press","offers":[{"title":"Brand New","offer_id":52413993845016,"sku":"9781009377348","price":124.76,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781009377348i.jpg?v=1784334459","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/coarse-graining-turbulence-modeling-and-data-driven-approaches-and-their-applications-hardback-9781009377348","provider":"Freshly Printed Books","version":"1.0","type":"link"}