New approaches in modeling multiphase flows and dispersion in turbulence, fractal methods and synthetic turbulence
This book contains a collection of the main contributions from the first five workshops held by Ercoftac Special Interest Group on Synthetic Turbulence Models (SIG42. It is intended as an illustration of the sig s activities and of the latest developments in the field. This volume investigates the u...
Guardat en:
| Autor principal: | |
|---|---|
| Altres autors: | , , , , |
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Dordrecht :
Springer Netherlands
2012.
Cham : Springer Nature |
| Col·lecció: | ERCOFTAC Series
18 |
| Matèries: | |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • New Approaches in Modeling Multiphase Flows and Dispersion in Turbulence, Fractal Methods and Synthetic Turbulence, Texte imprimé, 9789400736948 • New Approaches in Modeling Multiphase Flows and Dispersion in Turbulence, Fractal Methods and Synthetic Turbulence, Texte imprimé, 9789400725072 • New Approaches in Modeling Multiphase Flows and Dispersion in Turbulence, Fractual Methods and Synthetic Turbulence, F.C.G.A. Nicolleau, C. Cambon, J.-M. Redondo, [et al.], editors, Dordrecht, Springer, 2012, 1 vol. (XIV-152 p.), ERCOFTAC series, 978-94-0072505-8 |
Taula de continguts:
- The impact of Kinematic Simulations on quantum turbulence theory, by Demosthenes Kivotides
- 1 Introduction
- 2 Mathematical model;3 Results
- 4 Conclusion
- References
- Detached Eddy Simulation for turbulent flows in a pipe with a snowflake fractal orifice, by H. W. Zheng, F. C. G. A. Nicolleau and N. Qin
- 1 Introduction - motivation
- 2 Governing equations;3 Numerical discretization
- 4 Results
- 5 Conclusions
- References
- KS input spectrum, some fundamental works on the vibration spectrum of a self-similar linear chain, by T. M. Michelitsch, F. C. G. A. Nicolleau, A. F. Nowakowski and S. Derogar
- 1 Introduction;1.1 Input spectrum in the Kinematic simulation technique
- 1.2 Richardson s locality-in-scale hypothesis
- 2 Experimental studies of fractal generated turbulence
- 3 Fundamental modelling;4 Spectral Graphs for self-similar linear chains
- 5 Construction of self-similar functions and linear operators
- 5.1 Construction of self-similar functions
- 5.2 A self-similar analogue to the Laplace operator
- 5.3 Continuum approximation - link to fractional integrals
- 6 The physical chain model
- 7 Conclusions
- References
- Can Kinematic Simulation predict Richardson s regime? , by F. C. G. A. Nicolleau and A. Abou El-Azm Aly
- 1 Introduction
- 1.1 The two-particle dispersion problem
- 1.2 Observation of the Richardson law
- 2 Kinematic simulation
- 2.1 Kinematic simulation technique
- 2.2 Kinematic Simulation s predictions of Richardson s law
- 2.3 The KS method for isotropic turbulence
- 2.4 The Eulerian field time dependence
- 3 KS and Richardson Regime Validation
- 3.1 Particle pair diffusivity
- 3.2 Sensitivity to the energy spectrum power law
- 3.3 Effect of varying the unsteadiness parameter on the Validity of Richardson Regime
- 4 Conclusion
- References
- Incorporating linear dynamics and strong anisotropy in KS. Application to diffusion in rotating, stratified, MHD turbulence, and to aeroacoustics, by C. Cambon,F. S. Godeferd and B. Favier
- 1 KS for homogeneous isotropic turbulence. What remains to be done ?
- 1.1 Is the randomization process optimal?
- 1.2 Are the temporal random frequencies really random variables ?
- 2 Incorporating linear dynamics in KS. Application to rotatin and/or stratified flows
- 2.1 Analogy with the Rapid Distortion Theory
- 2.2 The role of inertial waves
- 2.3 Stable stratification with or without rotation
- 3 The linear dynamics of MHD turbulence
- 3.1 Basic equations
- coexistence of waves with anisotropic ohmic dissipation
- 3.2 Preliminary MHD results with and without rotation
- 4 Accounting for strong anisotropy
- 4.1 Anisotropy created by linear mechanisms from isotropic initial data
- 4.2 Anisotropic initialization, link to structures
- 4.3 Some applications
- 5 Application to aeroacoustics in turbulence with and without rotation
- 5.1 Isotropic turbulence
- 5.2 Rotating turbulence
- 6 Conclusions and perspectives
- Appendices
- References
- Advances in Particle Representation Modeling of homogeneous turbulence. From the linear PRM version to the interacting viscoelastic IPRM , by S.C. Kassinos and E. Akylas
- 1 Introduction
- 2 The RDT formulation
- 3 The Structure Tensors
- 4 Particle Representation of the RDT of Homogeneous Turbulence
- 4.1 Particle Properties
- 4.2 Vector Identities of the Particle Properties
- 4.3 Evolution Equations of the Particle Properties
- 4.4 Representation of the One Point Statistics
- 5 The Interacting Particle Representation Model
- 5.1 Formulation of the IPRM
- 5.2 Evaluation of the IPRM
- 6 Summary and Conclusions
- References
- Oscillation-free Adaptive Simulation of Compressible Two-fluid Flows with Different Types of Equation of State, by H. W. Zheng, C. Shu, Y. T. Chew, and N. Qin
- 1 Introduction
- 2 Compressible Two-fluid Flows
- 2.1 Modelling with general form of equation of state
- 2.2 Oscillation-free analysis
- 3 Discretization on quadrilateral-cell based adaptive mesh
- 4 Results
- 4.1Interface translation problem
- 4.2 Bubble-shock interaction
- 5 Conclusions
- References
- Computing the evolution of interfaces using multi-component flow equations, by Fatma Ghangir and Andrzej F. Nowakowski
- 1 Introduction
- 2 The parent flow model
- 3 The hyperbolic 2D model and its primitive variable form
- 4 Numerical Solution
- 4.1 The discretization of hyperbolic system with non-conservative terms
- 4.2 Velocity and pressure relaxation
- 5 The numerical results
- 5.1 Test problems for one-dimensional compressible multiphase flows
- 5.2 Test Problems For 2D Compressible Multiphase Flows
- 5.3 Interface test
- 5.4 Bubble explosion under water test
- 6 Conclusion
- References
- The effect of turbulence on the spreading of infectious airborne droplets in hospitals , by C.A. Klettner, I. Eames and J.W. Tang
- 1 Introduction
- 2 Mathematical model
- 2.1 Synthetic model of turbulence
- 2.2 Equation of motion of an evaporating droplet
- 2.3 Diagnostics
- 3 Numerical results
- 4 Conclusion
- 5 Acknowledgments
- References.