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.
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