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Introduction to Computational Fluid Dynamics – Lecture 2

Speakers:
Thomas H. Pulliam, Computational Aerosciences Branch, NASA Advanced Supercomputing Division
David W. Zingg, University of Toronto Institute for Aerospace Sciences

Presentation

Notes for this lecture are linked in the schedule below

Course Resources

Lomax, H., Pulliam, T.H. and Zingg, D.W., Fundamentals of Computational Fluid Dynamics, Scientific Computation, Spinger-Verlag, Berlin, 2001. 249 pp. ISBN 3-540-41607-2 [LPZ]

Pulliam, T.H. and Zingg, D.W., Fundamentals Algorithms in Computational Fluid Dynamics, Scientific Computation, Spinger-Verlag, Berlin, 2014. 211 pp., ISBN 978-3-319-05053-9 [PZ]

Additional Course Downloads

Lecture 1-6 MatLab Examples (ZIP-460KB)
Lecture 1-6 Homework (ZIP-2MB)

Lecture Videos and Notes

Course Summary

This series will help participants develop an understanding of computational fluid dynamics and provide an opportunity to practice numerical solution techniques as applied to the equations governing fluid mechanics and heat transfer. The mathematical structure is the theory of linear algebra and the attendant eigenanalysis of linear systems. The course will focus on the development, analysis, and use of numerical tools (as applied to stability, accuracy, and design methods based in linear theory) to develop a basic understanding of algorithms and methods of practical value; for example, methods for the Euler and Navier-Stokes equations. Topics include: explicit and implicit time differencing methods; central, upwind and characteristic spatial differencing techniques; high order accurate methods; multigrid methods; and splitting/factoring methods.

Biographies

Photo of Thomas H. Pulliam
Thomas H. Pulliam is a Senior Research Scientist in the Computational Aerosciences Branch of the NASA Advanced Supercomputing Division at Ames Research Center. He has been performing research and development in CFD for more than 44 years. Pulliam began his career in the original CFD Branch at NASA Ames under the tutelage of some of the early pioneers in CFD: Harvard Lomax and Joseph L. Steger. His more significant contributions are the development of some of the earliest application codes in CFD, ARC2D (two-dimensional Navier-Stokes), and ARC3D (three-dimensional Navier-Stokes). He is currently one of the developers of OVERFLOW, NASA's overset three-dimensional Navier-Stokes code, which is an integral component of a wide variety of NASA projects and missions. Pulliam has lectured at Tennessee Space Institute, the von Karman Institute in Belgium, San Jose State University, and Stanford University. He is an Ames Associate Fellow, AIAA Associate Fellow, Aviation Week Laurel Recipient, has a NASA Exceptional Scientific Achievement Medal, and received the Arthur S. Fleming Award for outstanding government service. Pulliam received his bachelor of science degree in Mathematics from Michigan Technological University, and his master of science and Ph.D. in Applied Mechanics from Stanford University.

Photo of David Zingg
David Zingg is the Distinguished Professor of Computational Aerodynamics and Sustainable Aviation at the University of Toronto Institute for Aerospace Studies, where he was the Director from 2006-2016. His research areas include aerodynamics, computational fluid dynamics, aerodynamic shape optimization, and application of aerodynamic shape optimization to the design of unconventional low-drag aircraft configurations motivated by the need to reduce greenhouse gas emissions from aircraft. Zingg has visited NASA Ames Research Center every summer since 1988. Together with colleagues from NASA, Harvard Lomax, and Tom Pulliam, he is a co-author of two well-known textbooks in computational fluid dynamics. Zingg has received several honours and awards, including a Tier I Canada Research Chair in Computational Aerodynamics and Environmentally Friendly Aircraft Design from 2001-2015, a Guggenheim Fellowship in 2004, and the McCurdy Award from the Canadian Aeronautics and Space Institute in 2012, as well as being a Fellow of the Canadian Academy of Engineering. Finally, he has supervised 35 Ph.D. and 56 Masters of Applied Science students.