Advanced Approaches in Turbulence
Theory, Modeling, Simulation, and Data Analysis for Turbulent Flows
- 1st Edition - July 24, 2021
- Imprint: Elsevier
- Editor: Paul Durbin
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 0 7 7 4 - 1
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 0 8 9 0 - 8
Advanced Approaches in Turbulence: Theory, Modeling, Simulation and Data Analysis for Turbulent Flows focuses on the updated theory, simulation and data analysis of turbulenc… Read more
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Request a sales quoteAdvanced Approaches in Turbulence: Theory, Modeling, Simulation and Data Analysis for Turbulent Flows focuses on the updated theory, simulation and data analysis of turbulence dealing mainly with turbulence modeling instead of the physics of turbulence. Beginning with the basics of turbulence, the book discusses closure modeling, direct simulation, large eddy simulation and hybrid simulation. The book also covers the entire spectrum of turbulence models for both single-phase and multi-phase flows, as well as turbulence in compressible flow.
Turbulence modeling is very extensive and continuously updated with new achievements and improvements of the models. Modern advances in computer speed offer the potential for elaborate numerical analysis of turbulent fluid flow while advances in instrumentation are creating large amounts of data. This book covers these topics in great detail.
- Covers the fundamentals of turbulence updated with recent developments
- Focuses on hybrid methods such as DES and wall-modeled LES
- Gives an updated treatment of numerical simulation and data analysis
Engineers, designers, software developers, professors, senior undergraduate students and graduate students in aerospace, mechanical, automotive companies and engineering departments.
Applied math departments, applied physics departments
Applied math departments, applied physics departments
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Preface
- Chapter One: Basics of turbulence
- Abstract
- 1.1. Introduction
- 1.2. Eddy diffusion
- 1.3. Scales of turbulence
- 1.4. Spectral equations
- 1.5. Averaged equations
- 1.6. The form of turbulence models
- 1.7. Conclusion
- References
- Chapter Two: Direct numerical and large–eddy simulation of complex turbulent flows
- Abstract
- Acknowledgements
- 2.1. Introduction
- 2.2. Error as a function of scale
- 2.3. Analysis of numerical errors in large-eddy simulation using statistical closure theory
- 2.4. Simulations in complex geometries
- 2.5. Simulating the flow around moving bodies
- 2.6. What is a ‘canonical’ flow?
- 2.7. The analysis of ‘big data’
- 2.8. Bridging the Reynolds number divide
- 2.9. Concluding remarks
- References
- Chapter Three: Large-eddy simulations
- Abstract
- Acknowledgements
- 3.1. Introduction
- 3.2. Governing equations
- 3.3. Subfilter-scale modeling
- 3.4. Case studies
- 3.5. Wall modeled large-eddy simulations
- 3.6. Challenges
- 3.7. Outlook
- References
- Chapter Four: Hybrid RANS-LES Methods
- Abstract
- Acknowledgements
- Introduction, general motivation, and examples
- Classification of hybrid approaches
- Guidelines for users
- Conclusions
- References
- Chapter Five: Closure modeling
- Abstract
- 5.1. Introduction
- 5.2. Governing flow equations
- 5.3. Turbulent mean flow
- 5.4. Transport equations for turbulent kinetic energy
- 5.5. Transport equations for Reynolds stresses
- 5.6. The k−ε model
- 5.7. Realizability
- 5.8. The V2F model
- 5.9. The SST model
- References
- Chapter Six: Data-driven and operator-based tools for the analysis of turbulent flows
- Abstract
- 6.1. Introduction
- 6.2. General decompositions
- 6.3. Proper orthogonal decomposition and its variants
- 6.4. Dynamic mode decomposition and its variants
- 6.5. Resolvent analysis
- 6.6. Algorithmic issues and improvements
- 6.7. Other decompositions
- 6.8. Conclusions
- References
- Chapter Seven: Multiphase turbulence
- Abstract
- 7.1. Introduction
- 7.2. Models for disperse multiphase flows
- 7.3. Pseudoturbulence
- 7.4. Multiphase turbulence models
- 7.5. Summary and perspectives
- References
- Chapter Eight: Transition to turbulence
- Abstract
- 8.1. The phenomena of transition
- 8.2. Linear theories
- 8.3. Secondary instabilities and breakdown to turbulence
- 8.4. Intermittency models
- 8.5. Summary
- References
- Chapter Nine: Turbulence in compressible flows
- Abstract
- Acknowledgements
- 9.1. Introduction
- 9.2. Classification of compressible turbulent-flow problems
- 9.3. Conservation equations: mass, momentum, and energy transport
- 9.4. Statistical description of compressible turbulent flows
- 9.5. Homogeneous turbulence dynamics with compressibility
- 9.6. Compressibility effects in free-shear flows
- 9.7. Compressible wall-bounded turbulence
- 9.8. Shock–turbulence interaction
- 9.9. Summary
- References
- Chapter Ten: Turbulence in stably stratified fluids
- Abstract
- 10.1. Introduction
- 10.2. Background
- 10.3. Wake experiments
- 10.4. Turbulence strongly influenced by stable-density stratification
- 10.5. A spectral theory for turbulence in a strongly stratified fluid
- 10.6. Homogeneous decay of turbulence in stably stratified fluids
- 10.7. Summary
- References
- Index
- Edition: 1
- Published: July 24, 2021
- Imprint: Elsevier
- No. of pages: 552
- Language: English
- Paperback ISBN: 9780128207741
- eBook ISBN: 9780128208908
PD
Paul Durbin
Prof. Paul Durbin has worked on various areas of turbulence over the last 40 years, starting as a PhD student at the University of Cambridge, continuing as a scientist at NASA, as a fellow at the center for turbulence research at Stanford University, as a professor in mechanical engineering at Stanford University, and now as a professor in aerospace engineering at Iowa State University. His research has encompassed Reynolds averaged closure modeling, hybrid simulation, direct numerical simulation and rapid distortion theory.
Affiliations and expertise
Professor, Department of Aerospace Engineering, Iowa State University, USARead Advanced Approaches in Turbulence on ScienceDirect