Basics of fluid mechanics and introduction to computational fluid dynamics
著者
書誌事項
Basics of fluid mechanics and introduction to computational fluid dynamics
（Numerical methods and algorithms, v. 3）
Spinger, c2005
大学図書館所蔵 件 / 全11件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographical references (p. [487]-496) and index
内容説明・目次
内容説明
The present book - through the topics and the problems approach - aims at filling a gap, a real need in our literature concerning CFD (Computational Fluid Dynamics). Our presentation results from a large documentation and focuses on reviewing the present day most important numerical and computational methods in CFD. Many theoreticians and experts in the field have expressed their - terest in and need for such an enterprise. This was the motivation for carrying out our study and writing this book. It contains an important systematic collection of numerical working instruments in Fluid Dyn- ics. Our current approach to CFD started ten years ago when the Univ- sity of Paris XI suggested a collaboration in the field of spectral methods for fluid dynamics. Soon after - preeminently studying the numerical approaches to Navier-Stokes nonlinearities - we completed a number of research projects which we presented at the most important inter- tional conferences in the field, to gratifying appreciation. An important qualitative step in our work was provided by the dev- opment of a computational basis and by access to a number of expert softwares. This fact allowed us to generate effective working programs for most of the problems and examples presented in the book, an - pect which was not taken into account in most similar studies that have already appeared all over the world.
目次
to Mechanics of Continua.- Dynamics of Inviscid Fluids.- Viscous Incompressible Fluid Dynamics.- to Numberical Solutions for Ordinary and Partial Differential Equations.- Finite-Difference Methods.- Finite Element and Boundary Element Methods.- The Finite Volume Method and the Generalized Difference Method.- Spectral Methods.
「Nielsen BookData」 より