Principles of Computational Fluid Dynamics

 Principles of Computational Fluid Dynamics

Principles of Computational Fluid Dynamics

The technological value of computational fluid dynamics has become undisputed. A capability has been established to compute flows that can be investigated experimentally only at reduced Reynolds numbers, or at greater cost, or not at all, such as the flow around a space vehicle at re-entry, or a loss-of-coolant accident in a nuclear reactor. Furthermore, modern computational

fluid dynamics has become indispensable for design optimization, because many different configurations can be investigated at acceptable cost
and in short time. A distinguishing feature of the present state of computational fluid dynamics is, that large commercial computational fluid dynamics

computer codes have arisen, and found widespread use in industry. The days that a great majority of code users were also code developers are gone. This attests to the importance and a certain degree of maturity of computational fluid dynamics as an engineering tool. At the same time, this creates a need to go back to basics, and to disseminate the basic principles to a wider audi-
ence. It has been observed on numerous occasions, that even simple flows are not correctly predicted by advanced computational fluid dynamics codes, if used without sufficient insight in both the numerics and the physics involved.

The present book aims to elucidate the principles of computational fluid dynamics. With a variation on Lamb's preface to his classic hydrodynamics, owing to the elaborate nature of some of the methods of computational fluid dynamics, it has not always been possible to fit an adequate account of them into the frame of this book.

When technology progresses from the pre-competitive to the competitive stage, unavoidably, something like an information stop sets in. To protect investments, and because of the relatively long learning curve to be traversed in order to become familiar with a large computer code, a certain sluggishness of change makes itself felt. These consequences of the widespread distribution of large computational fluid dynamics codes needs to be counteracted by the dynamics of unencumbered scientific enquiry, not to pursue change for change's sake, but because much improvement seems feasible. Therefore I hope the book will be helpful not only to users of computational dynamics codes, but also to researchers in the field.

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