The lattice Boltzmann method : principles and practice

• 作者： Kruger, Timm, author.
• 其他作者：
  • Kusumaatmaja, Halim, author.
  • Kuzmin, Alexandr, author.
  • Shardt, Orest, author.
  • Silva, Goncalo, author.
  • Viggen, Erlend Magnus, author.
  • SpringerLink (Online service)
• 其他題名：
  • Graduate texts in physics.
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： Graduate texts in physics,
• 主題： Lattice Boltzmann methods. , Physics. , Numerical and Computational Physics, Simulation. , Fluid- and Aerodynamics. , Complex Systems. , Engineering Fluid Dynamics. , Computational Mathematics and Numerical Analysis. , Statistical Physics and Dynamical Systems.
• ISBN： 9783319446493 (electronic bk.) 、 9783319446479 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: Part I Background: Basics of hydrodynamics and kinetic theory -- Numerical methods for fluids -- Part II Lattice Boltzmann fundamentals: The lattice Boltzmann equation -- Analysis of the lattice Boltzmann equation -- Boundary and initial conditions -- Forces -- Non-dimensionalisation and choice of simulation parameters -- Part III Lattice Boltzmann extensions, improvements, and details: Lattice-Boltzmann for advection-diffusion-problems -- Multiphase and multi-component flows -- MRT and TRT collision operators -- Boundary conditions for fluid-structure interaction -- Sound waves -- Part IV Numerical implementation of the lattice Boltzmann method: Implementation of LB Simulations -- Appendices.
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• 摘要註: This book is an introduction to the theory, practice, and implementation of the Lattice Boltzmann (LB) method, a powerful computational fluid dynamics method that is steadily gaining attention due to its simplicity, scalability, extensibility, and simple handling of complex geometries. The book contains chapters on the method's background, fundamental theory, advanced extensions, and implementation. To aid beginners, the most essential paragraphs in each chapter are highlighted, and the introductory chapters on various LB topics are front-loaded with special "in a nutshell" sections that condense the chapter's most important practical results. Together, these sections can be used to quickly get up and running with the method. Exercises are integrated throughout the text, and frequently asked questions about the method are dealt with in a special section at the beginning. In the book itself and through its web page, readers can find example codes showing how the LB method can be implemented efficiently on a variety of hardware platforms, including multi-core processors, clusters, and graphics processing units. Students and scientists learning and using the LB method will appreciate the wealth of clearly presented and structured information in this volume.
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