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    Multidisciplinary Design Optimization of Flight Vehicles: Theory and Applications

    Multidisciplinary Design Optimization of Flight Vehicles by Yao, Wen; Zhao, Yong; Zheng, Xiaohu;

    Theory and Applications

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      • Publisher's listprice EUR 246.09
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        104 391 Ft (99 420 Ft + 5% VAT)
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    104 391 Ft

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    Product details:

    • Publisher Springer
    • Date of Publication 9 June 2025
    • Number of Volumes 1 pieces, Book

    • ISBN 9789819614325
    • Binding Hardback
    • No. of pages502 pages
    • Size 235x155 mm
    • Language English
    • Illustrations 102 Illustrations, black & white; 122 Illustrations, color
    • 700

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    Short description:

    This book systematically introduced the theory and application of Multidisciplinary Design Optimization (MDO) of flight vehicles. The MDO theory part includes the background, theoretical fundamentals, MDO-oriented modeling, traditional machine learning methods and deep learning-based approximation, sequential approximation modeling, sensitivity analysis, optimization search strategies, MDO optimization procedure, and uncertainty-based MDO. The MDO application covers both subsystem and system examples, including MDO of satellite inner instrument layout design, structural topology optimization, satellite system design, on-orbit servicing task optimization, and MDO of missile and aircraft. This book is characterized by the novelty and practicality with abundant contents, and it is written in an easy way for new learners. It is used by researchers and engineering designers who are engaged in design of flight vehicles or other complex industrial systems. And it is also used as textbook for graduate or undergraduate students majoring in flight vehicle design or related disciplines.

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    Long description:

    This book systematically introduced the theory and application of Multidisciplinary Design Optimization (MDO) of flight vehicles. The MDO theory part includes the background, theoretical fundamentals, MDO-oriented modeling, traditional machine learning methods and deep learning-based approximation, sequential approximation modeling, sensitivity analysis, optimization search strategies, MDO optimization procedure, and uncertainty-based MDO. The MDO application covers both subsystem and system examples, including MDO of satellite inner instrument layout design, structural topology optimization, satellite system design, on-orbit servicing task optimization, and MDO of missile and aircraft. This book is characterized by the novelty and practicality with abundant contents, and it is written in an easy way for new learners. It is used by researchers and engineering designers who are engaged in design of flight vehicles or other complex industrial systems. And it is also used as textbook for graduate or undergraduate students majoring in flight vehicle design or related disciplines.

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    Table of Contents:

    Introduction.- Basis of MDO Theory.- MDO-oriented Modeling and Verification.- Traditional Surrogate Methods.- Deep Learning-based Surrogate Methods.- Sequential Surrogate Modeling Methods.- Sensitivity Analysis Methods.- Search Strategy for Design Space.- Multidisciplinary Design Optimization Process.- Uncertainty Multidisciplinary Design Optimization Process.- Topology Optimization of Flight Vehicle Structure.- Design Optimization of Heat Source Layout in the Satellite Cabin.- General Design Optimization of Satellite.- Comprehensive Optimization of Satellite On-orbit Refueling Mission.- Integrated Optimization of Overall Missile and Engine.- Multidisciplinary Design Optimization of Aircraft and Wing.

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