Screen LibraryRandom fields and stochastic lagrangian models : analysis and applications in turbulence and porous media /
Probabilistic approach and stochastic simulation become more and more popular in all branches of science and technology, especially in problems where the data are randomly fluctuating, or they are highly irregular in deterministic sense. As a rule, in such problems it is very difficult and expensive...
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| Main Authors: | |
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| Corporate Authors: | |
| Published: |
De Gruyter,
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| Publisher Address: | Berlin ;Boston : |
| Publication Dates: |
[2012] ©2013 |
| Literature type: | eBook |
| Language: | English |
| Subjects: | |
| Online Access: |
http://dx.doi.org/10.1515/9783110296815 http://www.degruyter.com/doc/cover/9783110296815.jpg |
| Summary: |
Probabilistic approach and stochastic simulation become more and more popular in all branches of science and technology, especially in problems where the data are randomly fluctuating, or they are highly irregular in deterministic sense. As a rule, in such problems it is very difficult and expensive to carry out measurements to extract the desired data. As important examples the book mentions the turbulent flow simulation in atmosphere, and construction of flows through porous media. The temporal and spatial scales of the input parameters in this class of problems are varying enormously, and the behaviour is very complicated, so that there is no chance to describe it deterministically. |
| Carrier Form: | 1 online resource (414pages) |
| ISBN: | 9783110296815（electronic bk.） |
| Index Number: | QA274 |
| CLC: | O211.6 |
| Contents: |
Frontmatter -- Preface -- Contents -- Chapter 1. Introduction -- Chapter 2. Stochastic simulation of vector Gaussian random fields -- Chapter 3. Stochastic Lagrangian models of turbulent flows: Relative dispersion of a pair of fluid particles -- Chapter 4. A new Lagrangian model of 2-particle relative turbulent dispersion -- Chapter 5. The combined Eulerian Lagrangian model -- Chapter 6. Stochastic Lagrangian models for 2-particle relative dispersion in high-Reynolds-number turbulence -- Chapter 7. Stochastic Lagrangian models for 2-particle motion in turbulent flows. Numerical results -- Chapter 8. The 1-particle stochastic Lagrangian model for turbulent dispersion in horizontally homogeneous turbulence -- Chapter 9. Direct and adjoint Monte Carlo for the footprint problem -- Chapter 10. Lagrangian stochastic models for turbulent dispersion in an atmospheric boundary layer -- Chapter 11. Analysis of the relative dispersion of two particles by Lagrangian stochastic models and DNS methods -- Chapter 12. Evaluation of mean concentration and fluxes in turbulent flows by Lagrangian stochastic models -- Chapter 13. Stochastic Lagrangian footprint calculations over a surface with an abrupt change of roughness height -- Chapter 14. Stochastic flow simulation in 3D porous media -- Chapter 15. A Lagrangian stochastic model for the transport in statistically homogeneous porous media -- Chapter 16. Coagulation of aerosol particles in intermittent turbulent flows -- Chapter 17. Stokes flows under random boundary velocity excitations -- Bibliography -- Index |