Computational Fluid Dynamics - Principles and Applications
Year: 1992 Language: english Author: J. Blazek Genre: Textbook Publisher: ELSEVIER Format: PDF Quality: eBook Pages count: 470 Description: 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.
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Computational Fluid Dynamics - Principles and Applications
Language: english
Author: J. Blazek
Genre: Textbook
Publisher: ELSEVIER
Format: PDF
Quality: eBook
Pages count: 470
Description: 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.
Contents
Screenshots
Computational Fluid Dynamics - Principles and Applications - J. Blazek.pdf
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