Aerospace System Analysis and Optimization in Uncertainty
Author(s)
Bibliographic Information
Aerospace System Analysis and Optimization in Uncertainty
(Springer optimization and its applications, v. 156)
Springer, 2020
- hbk.
Available at 2 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
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  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
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  United Kingdom
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  United States of America
Note
Includes bibliographical references
Description and Table of Contents
Description
Spotlighting the field of Multidisciplinary Design Optimization (MDO), this book illustrates and implements state-of-the-art methodologies within the complex process of aerospace system design under uncertainties. The book provides approaches to integrating a multitude of components and constraints with the ultimate goal of reducing design cycles. Insights on a vast assortment of problems are provided, including discipline modeling, sensitivity analysis, uncertainty propagation, reliability analysis, and global multidisciplinary optimization. The extensive range of topics covered include areas of current open research. This Work is destined to become a fundamental reference for aerospace systems engineers, researchers, as well as for practitioners and engineers working in areas of optimization and uncertainty.
Part I is largely comprised of fundamentals. Part II presents methodologies for single discipline problems with a review of existing uncertainty propagation, reliability analysis, and optimization techniques. Part III is dedicated to the uncertainty-based MDO and related issues. Part IV deals with three MDO related issues: the multifidelity, the multi-objective optimization and the mixed continuous/discrete optimization and Part V is devoted to test cases for aerospace vehicle design.
Table of Contents
Part I Aerospace system multidisciplinary modeling and uncertainty characterization.- 1 Multidisciplinary system modeling and optimization.- 2 Uncertainty characterization and modeling.- Part II Single discipline problem: uncertainty propagation, reliability analysis and optimization.- 3 Uncertainty propagation and sensitivity analysis.- 4 Reliability analysis.- 5 Problem formulations and optimization algorithms.- Part III Multidisciplinary Optimization under uncertainty.- 6 Uncertainty propagation for multidisciplinary problems.- 7 Uncertainty-based MDO.- Part IV MDO related issues: multi-fidelity, multi-objective and mixed continuous / discrete optimization.- 8 Multi-fidelity for MDO using Gaussian Processes.- 9 Multi-objective and mixed MDO.- Part V Case studies.- 10 Civil aircraft vehicle design.- 11 Blended Wing Body design.- 12 Expendable and reusable launch vehicle design.- Appendix: List of librairies used for the simulations.
by "Nielsen BookData"