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Coarse Grained Simulation and Turbulent Mixing / edited by Fernando F. Grinstein.

Contributor(s): Material type: TextTextPublisher: Cambridge : Cambridge University Press, 2016Copyright date: ©2016Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781316480243
  • 1316480240
  • 9781316575048
  • 1316575047
  • 9781316574713
  • 1316574717
  • 9781316573723
  • 1316573729
Other title:
  • Coarse Grained Simulation & Turbulent Mixing
Subject(s): Genre/Form: Additional physical formats: Print version:: No titleDDC classification:
  • 532/.0527 23
LOC classification:
  • TA357.5.T87
Online resources:
Contents:
Cover; Half-title ; Title page ; Copyright information ; Dedication ; Table of contents ; List of Contributors ; Preface ; Prologue: Introduction to Coarse Grained Simulation ; P.1 CGS Fundamentals ; P.2 Challenges to Predictability ; P.3 Complex Mixing Consequences ; P.4 Summary.
2 A Minimum Turbulence State for Coarse Grained Simulation 2.1 Introduction and Summary ; 2.2 ''Turbulence Problem'' Redefined ; 2.2.1 Filter Classification and Their Spectral Support ; 2.2.2 Near Grid and Distant Interactions ; 2.2.3 Resolvable Scale Model Equation.
2.3 Coarse Grained Simulations 2.3.1 Determination of the Boundary between the Energy Containing and Inertial Ranges ; 2.3.2 Data Redundant in the Inertial Range ; 2.3.3 Local and Nonlocal Interactions in High Reynolds Number Flows ; 2.4 The Minimum State ; 2.4.1 Temporal Criterion.
2.5 Applications 2.5.1 High Energy Density Physics Experiments ; 2.5.2 ILES Effective Reynolds Number ; 2.6 Acknowledgments ; Bibliography ; 3 Finite Scale Theory: Compressible Hydrodynamics at Second Order ; 3.1 Introduction ; 3.2 Hydrodynamics from Kinetic Theory.
Summary: Small-scale turbulent flow dynamics is traditionally viewed as universal and as enslaved to that of larger scales. In coarse grained simulation (CGS), large energy-containing structures are resolved, smaller structures are spatially filtered out, and unresolved subgrid scale (SGS) effects are modeled. Coarse Grained Simulation and Turbulent Mixing reviews our understanding of CGS. Beginning with an introduction to the fundamental theory the discussion then moves to the crucial challenges of predictability. Next, it addresses verification and validation, the primary means of assessing accuracy and reliability of numerical simulation. The final part reports on the progress made in addressing difficult non-equilibrium applications of timely current interest involving variable density turbulent mixing. The book will be of fundamental interest to graduate students, research scientists, and professionals involved in the design and analysis of complex turbulent flows.
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Title from publisher's bibliographic system (viewed on 08 Jun 2016).

Small-scale turbulent flow dynamics is traditionally viewed as universal and as enslaved to that of larger scales. In coarse grained simulation (CGS), large energy-containing structures are resolved, smaller structures are spatially filtered out, and unresolved subgrid scale (SGS) effects are modeled. Coarse Grained Simulation and Turbulent Mixing reviews our understanding of CGS. Beginning with an introduction to the fundamental theory the discussion then moves to the crucial challenges of predictability. Next, it addresses verification and validation, the primary means of assessing accuracy and reliability of numerical simulation. The final part reports on the progress made in addressing difficult non-equilibrium applications of timely current interest involving variable density turbulent mixing. The book will be of fundamental interest to graduate students, research scientists, and professionals involved in the design and analysis of complex turbulent flows.

Cover; Half-title ; Title page ; Copyright information ; Dedication ; Table of contents ; List of Contributors ; Preface ; Prologue: Introduction to Coarse Grained Simulation ; P.1 CGS Fundamentals ; P.2 Challenges to Predictability ; P.3 Complex Mixing Consequences ; P.4 Summary.

2 A Minimum Turbulence State for Coarse Grained Simulation 2.1 Introduction and Summary ; 2.2 ''Turbulence Problem'' Redefined ; 2.2.1 Filter Classification and Their Spectral Support ; 2.2.2 Near Grid and Distant Interactions ; 2.2.3 Resolvable Scale Model Equation.

2.3 Coarse Grained Simulations 2.3.1 Determination of the Boundary between the Energy Containing and Inertial Ranges ; 2.3.2 Data Redundant in the Inertial Range ; 2.3.3 Local and Nonlocal Interactions in High Reynolds Number Flows ; 2.4 The Minimum State ; 2.4.1 Temporal Criterion.

2.5 Applications 2.5.1 High Energy Density Physics Experiments ; 2.5.2 ILES Effective Reynolds Number ; 2.6 Acknowledgments ; Bibliography ; 3 Finite Scale Theory: Compressible Hydrodynamics at Second Order ; 3.1 Introduction ; 3.2 Hydrodynamics from Kinetic Theory.

Includes bibliographical references and index.

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