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Loïc Brevault & Mathieu Balesdent 
Aerospace System Analysis and Optimization in Uncertainty 

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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.



€139.09
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Inhaltsverzeichnis

Part I Aerospace system multidisciplinary modeling and uncertainty char acterization .- 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.

Sprache Englisch ● Format PDF ● Seiten 477 ● ISBN 9783030391263 ● Dateigröße 24.7 MB ● Verlag Springer International Publishing ● Ort Cham ● Land CH ● Erscheinungsjahr 2020 ● herunterladbar 24 Monate ● Währung EUR ● ID 7583180 ● Kopierschutz Soziales DRM

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