Delete Note Save Note. Download for print-disabled. Check nearby libraries Library. Share this book Facebook. November 28, History. An edition of Turbulence modeling for CFD Subjects Data processing , Fluid dynamic measurements , Fluid dynamics , Measurement , Turbulence , Computational fluid dynamics. Hardcover in English - 3rd edition. Libraries near you: WorldCat. Hardcover in English - Solutn Mn edition. Classifications Library of Congress QA W48 Community Reviews 0 Feedback?
Lists containing this Book. Loading Related Books. November 28, December 4, In order to avoid departing too much from conventions normally used in liter- ature on turbulence modeling and general fluid mechanics, a few symbols denote more than one quantity. While several computational fluid dynamics CFD texts include some information about turbulence modeling, very few texts dealing exclusively with turbulence modeling have been written.
As a con- sequence, turbulence modeling is regarded by many CFD researchers as "black magic," lacking in rigor and physical foundation. This book has been written to show that turbulence modeling can be done in a systematic and physically sound manner. This is not to say all turbulence modeling has been done in such a manner, for indeed many ill-conceived and ill-fated turbulence models have appeared in engineering journals.
Even this au- thor, early in his career, devised a turbulence model that violated Galilean invariance of the time-averaged Navier-Stokes equations! However, with judicious use of relatively simple mathematical tools, systematic construc- tion of a well-founded turbulence model is not only possible but can be an exciting and challenging research project.
Thus, the primary goal of this book is to provide a systematic approach to developing a set of constitutive equations suitable for computation of turbulent flows. The engineer who feels no existing turbulence model is suitable for his or her needs and wishes to modify an existing model or to devise a new model will benefit from this feature of the text.
A methodology is presented in Chapters 3 and 4 for devising and testing such equations. The methodology is illustrated in great detail for two-equation turbulence models. However, it is by no means limited to such models and is used again in Chapter 6 for a full Reynolds-stress model, but with less detail. A secondary goal of this book is to provide a rational way for deciding how complex a model is needed for a given problem.
The engineer who wishes to select an existing model that is sufficient for his or her needs will benefit most from this feature of the text. Two things are done at each level of complexity. First, the range of applicability of the model is estimated.
Second, many of the applications are repeated for all of the models to illustrate how accuracy changes with complexity.
The methodology makes extensive use of tensor analysis, similarity so- lutions, singular perturbation methods, and numerical procedures. The text assumes the user has limited prior knowledge of these mathemati- cal concepts and provides what is needed both in the main text and in the Appendices. For example, Appendix A introduces rudiments of tensor analysis to facilitate manipulation of the Navier-Stokes equation, which is done extensively in Chapter 2. Chapter 3 shows, in detail, the way a sim- ilarity solution is generated.
Similarity solutions are then obtained for the turbulent mixing layer, jet and far wake. Appendix B presents elements of singular perturbation theory. Chapters 4, 5 and 6 use the methods to dissect model-predicted features of the turbulent boundary layer. No book on turbulence-model equations is complete without a discus- sion of numerical solution methods. Anyone who has ever tried to obtain a numerical solution to a set of turbulence transport equations can attest to this.
Often, standard numerical procedures just won't work and alternative methods must be found to obtain accurate converged solutions. Chapter 7 focuses on numerical methods and elucidates some of the commonly encoun- tered problems such as stiffness, sharp turbulent-nonturbulent interfaces, and difficulties attending turbulence related time scales.
The concluding chapter presents a brief overview of new horizons in- cluding direct numerical simulation DNS , large-eddy simulation LES and the interesting mathematical theory of chaos. Because turbulence modeling is a key ingredient in CFD work, the text would be incomplete without companion software implementing numerical solutions to standard turbulence model equations.
Appendices C and D describe several computer programs that are included on the floppy disk accompanying the book. The programs all have a similar structure and can be easily modified to include new turbulence models. The material presented in this book is appropriate for a one-semester, first or second year graduate course, or as a reference text for a CFD course. Successful study of this material requires an understanding of viscous-flow and boundary-layer theory.
Some degree of proficiency in solving partial differential equations is also needed. A knowledge of computer program- ming, preferably in FORTRAN, will help the reader gain maximum benefit from the companion software described in the Appendices.
I extend my thanks to Dr. Redekopp of USC for encouraging and supporting development of the course for which this book is intended. A friend of many years, Dr. Another long time friend, Dr. Knight, helped me understand why I had to write this book, reviewed the manuscript from cover to cover and offered a great deal of physical and computational insight in the process. My favorite mathematics teacher, Dr.
Cohen, made sure I omitted the dot over every t and crossed every z in Appendix B. Menter and C. Horstman were kind enough to provide results of several of their computations in digital form. Thanks are also due for the support and help of several friends and colleagues, most notably Drs.
0コメント