Computational Approaches for Aerospace Design: The Pursuit of Excellence
Computational Approaches for Aerospace Design: The Pursuit of Excellence
Computational Approaches for Aerospace Design: The Pursuit of Excellence
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Type: eBook
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Publisher: Wiley
Page Count: 606
Format: pdf
Language: English
ISBN-10: 0470855401
ISBN-13: 9780470855409
User Rating: 5.0000 out of 5 Stars! (1 Votes)

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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.

From the Back Cover

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.

Cover image reproduced by kind permission of Andreas Sóbester.


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should be a requirement in aerospace engineering curriculum

Covers most of the problems encountered in the process of computational design optimization, such as the curse of dimensionality, time consuming objective functions, sparce data, uncertainties, etc. The broad and succinct coverage of different optimization and modeling techniques (function approximation or surrogate models) in one volume is quite a remarkable achievement. For the novice, the hardest part is the selection of an appropriate method to tackle the problem at hand, because the literature is innundated with overwhelming number of new and classic methods. This book will help the reader make an informed decision on what and which approach to take. This is a major time saver.

The book does not cover everything but does quite a good job of covering the major "schoools of thoughts." You will still need to dig the referenced materials for details and implementation.

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