Andy Keane & Prasanth Nair 
Computational Approaches for Aerospace Design [PDF ebook] 
The Pursuit of Excellence

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Over the last fifty years, the ability to carry out analysis as a
precursor to decision making in engineering design has increased
dramatically. In particular, the advent of modern computing systems
and the development of advanced numerical methods have made
computational modelling a vital tool for producing optimized
designs.
This text explores how computer-aided analysis has
revolutionized aerospace engineering, providing a comprehensive
coverage of the latest technologies underpinning advanced
computational design. Worked case studies and over 500 references
to the primary research literature allow the reader to gain a full
understanding of the technology, giving a valuable insight into the
world’s most complex engineering systems.
Key Features:
* Includes background information on the history of aerospace
design and established optimization, geometrical and mathematical
modelling techniques, setting recent engineering developments in a
relevant context.
* Examines the latest methods such as evolutionary and response
surface based optimization, adjoint and numerically differentiated
sensitivity codes, uncertainty analysis, and concurrent systems
integration schemes using grid-based computing.
* Methods are illustrated with real-world applications of
structural statics, dynamics and fluid mechanics to satellite,
aircraft and aero-engine design problems.
Senior undergraduate and postgraduate engineering students
taking courses in aerospace, vehicle and engine design will find
this a valuable resource. It will also be useful for practising
engineers and researchers working on computational approaches to
design.

€105.99
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About the author

Andy Keane is the author of Computational Approaches for Aerospace Design: The Pursuit of Excellence, published by Wiley.
Prasanth Nair is the author of Computational Approaches for Aerospace Design: The Pursuit of Excellence, published by Wiley.

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Language English ● Format PDF ● Pages 602 ● ISBN 9780470855478 ● File size 8.7 MB ● Publisher John Wiley & Sons ● Published 2005 ● Edition 1 ● Downloadable 24 months ● Currency EUR ● ID 2324682 ● Copy protection Adobe DRM
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