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  • Computational Approaches for Aerospace Design: The Pursuit of Excellence

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Computational Approaches for Aerospace Design: The Pursuit of Excellence

5.0 out of 5 stars (3)

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.

Editorial Reviews

From the Inside Flap

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.

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.

Product details

  • Publisher ‏ : ‎ Wiley
  • Publication date ‏ : ‎ August 5, 2005
  • Edition ‏ : ‎ 1st
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 616 pages
  • ISBN-10 ‏ : ‎ 0470855401
  • ISBN-13 ‏ : ‎ 978-0470855409
  • Item Weight ‏ : ‎ 2.8 pounds
  • Dimensions ‏ : ‎ 6.9 x 1.55 x 10 inches
  • Best Sellers Rank: #8,376,825 in Books (See Top 100 in Books)
  • Customer Reviews:
    5.0 out of 5 stars (3)

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A. J. Keane
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5 out of 5 stars
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Top reviews from the United States

  • 5 out of 5 stars
    should be a requirement in aerospace engineering curriculum
    Reviewed in the United States on October 13, 2005
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    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 inundated 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 "schools of thoughts." You will still need to dig the referenced materials for details and implementation.

    8 people found this helpful
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  • 5 out of 5 stars
    Five Stars
    Reviewed in the United Kingdom on November 27, 2014
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    good book good saler

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  • 5 out of 5 stars
    航空宇宙工学科の必須科目にして欲しい
    Reviewed in Japan on October 12, 2005
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    コンピュータの発達によって近年現実味を帯びてきた最適設計に関する概論書。最適化といっても様様な手法が存在し、新たに学習を始めるものにとっては、何処から手をつけてよいものか途方に暮れるが、本書は様様なアプローチの長所短所を指摘し、適切な出発点を教えてくれる。その代わり、最適化のプロセスにおいて、およそ直面するであろう問題に対して、現在知られている対処法を広く網羅しているため、その各々に対してはあまり詳しい説明を期待できない。やはり巻末の参考文献が物を言う。

    本書は最適化手法のみならず、計算を効率化するためのRadial Basis Function, Support Vector Machines と言った代替モデル構築や実験計画法にみられるような代替モデル構築のための効果的なサンプル点の設定方法、代替モデルと最適化プログラムの組み合わせ方(代替モデルのマネジメント、Multidisciplinary Optimization)や不確定要素の取り扱いなど、以前はばらばらに調べなければならなかったことが一冊の中で効率よくまとめられている。皮肉にも非効率だった最適設計の学習がこの本でかなり効率化すると思う。

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