|
The history of Computational Fluid Dynamics, or CFD for short,, started in
the early 1970’s. Around that time, it became an acronym for a combination
of physics, numerical mathematics, and, to some extent, computer sciences employed
to simulate fluid flows. The beginning of CFD was triggered by the
availability of increasingly more powerful mainframes and the advances in CFD
are still tightly coupled to the evolution of computer technology. Among the
first applications of the CFD methods was the simulation of transonic flows
based on the solution of the non-linear potential equation. With the beginning
of the 1980’s, the solution of first two-dimensional (2-D) and later also threedimensional
(3-D) Euler equations became feasible. Thanks to the rapidly increasing
speed of supercomputers and due to the development of a variety of
numerical acceleration techniques like multigrid, it was possible to compute inviscid
flows past complete aircraft configurations or inside of turbomachines.
With the mid 1980’s, the focus started to shift to the significantly more demanding
simulation of viscous flows governed by the Navier-Stokes equations.
Together with this, a variety of turbulence models evolved with different degree
of numerical complexity and accuracy. The leading edge in turbulence modelling
is represented by the Direct Numerical Simulation (DNS) and the Large
Eddy Simulation (LES). However, both approaches are still far away from being
usable in engineering applications.
Computational Fluid Dynamics (CFD) is an important design tool in engineering and also a substantial research tool in various physical sciences. The objective of this book is to provide a solid foundation for understanding the numerical methods employed in today's CFD and to raise awareness of modern CFD codes through hands-on experience. The book should be a useful reference work for engineers and scientists starting to work in the field of CFD or those who apply CFD codes. The accompanying CD-ROM contains the sources of 1-D and 2-D Euler solvers as well as grid generators. |
|
|
 Grid Computing: Software Environments and ToolsGrid computing combines aspects from parallel computing, distributed computing and data management, and has been playing an important role in pushing forward the state-of-the-art in computer science and information technologies. There is considerable interest in Grid computing at present, with a significant number of Grid projects being launched... | | Memory Systems: Cache, DRAM, DiskThe first book to comprehensively cover the intricacies of optimizing the behavior of modern memory systems using a holistic design approach.
Is your memory hierarchy stopping your microprocessor from performing at the high level it should be? Memory Systems: Cache, DRAM, Disk shows you how to resolve this problem. ... | | |
|
