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A. Baker 
Optimal Modified Continuous Galerkin CFD 

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Cover of A. Baker: Optimal Modified Continuous Galerkin CFD (PDF)
Covers the theory and applications of using weak form theory in incompressible fluid-thermal sciences

Giving you a solid foundation on the Galerkin finite-element method (FEM), this book promotes the use of optimal modified continuous Galerkin weak form theory to generate discrete approximate solutions to incompressible-thermal Navier-Stokes equations. The book covers the topic comprehensively by introducing formulations, theory and implementation of FEM and various flow formulations.

The author first introduces concepts, terminology and methodology related to the topic before covering topics including aerodynamics; the Navier-Stokes Equations; vector field theory implementations and large eddy simulation formulations.

* Introduces and addresses many different flow models (Navier-Stokes, full-potential, potential, compressible/incompressible) from a unified perspective

* Focuses on Galerkin methods for CFD beneficial for engineering graduate students and engineering professionals

* Accompanied by a website with sample applications of the algorithms and example problems and solutions

This approach is useful for graduate students in various engineering fields and as well as professional engineers.
€121.99
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About the author

A. J. Baker, The University of Tennessee, USA
Professor Baker is Professor Emeritus in both the Engineering Science Department and the Computational Mechanics Department at the University of Tennessee. Prior to this he was Director of UT CFD Laboratory at the University of Tennessee. He is a Fellow of International Association for Computational Mechanics (IACM) and the US Association for Computational Mechanics (USACM) as well as being an Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA). Professor Baker has devised many courses on FEA-related topics during his career and has also written multiple books and journal articles.
Language English ● Format PDF ● Pages 576 ● ISBN 9781118403082 ● File size 20.2 MB ● Publisher John Wiley & Sons ● Published 2014 ● Edition 1 ● Downloadable 24 months ● Currency EUR ● ID 2994518 ● Copy protection Adobe DRM
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