Aerospace System Analysis and Optimization in Uncertainty
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...
| Main Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2020, 2020
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| Edition: | 1st ed. 2020 |
| Series: | Springer Optimization and Its Applications
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
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