Aerospace System Analysis and Optimization in Uncertainty
Authors: Brevault, Loïc, Balesdent, Mathieu, Morio, Jérôme
Free Preview- Examines the aerospace system design process and provides case studies
- Spotlights Multidisciplinary Design Optimization (MDO) within the complex process of aerospace design
- Features new techniques for uncertainty propagation, reliability and optimization
- Applies a global approach to realistic complex systems
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- About this book
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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 (12 chapters)
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Multidisciplinary System Modeling and Optimization
Pages 3-30
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Uncertainty Characterization and Modeling
Pages 31-65
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Uncertainty Propagation and Sensitivity Analysis
Pages 69-117
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Reliability Analysis
Pages 119-146
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Overview of Problem Formulations and Optimization Algorithms in the Presence of Uncertainty
Pages 147-183
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Table of contents (12 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Aerospace System Analysis and Optimization in Uncertainty
- Authors
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- Loïc Brevault
- Mathieu Balesdent
- Jérôme Morio
- Series Title
- Springer Optimization and Its Applications
- Series Volume
- 156
- Copyright
- 2020
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-39126-3
- DOI
- 10.1007/978-3-030-39126-3
- Hardcover ISBN
- 978-3-030-39125-6
- Series ISSN
- 1931-6828
- Edition Number
- 1
- Number of Pages
- XXV, 477
- Number of Illustrations
- 29 b/w illustrations, 319 illustrations in colour
- Topics
