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...

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Bibliographic Details
Main Authors: Brevault, Loïc, Balesdent, Mathieu (Author), Morio, Jérôme (Author)
Format: eBook
Published: Cham Springer International Publishing 2020, 2020
Edition:1st ed. 2020
Series:Springer Optimization and Its Applications
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