Multidisciplinary Design Optimization in Computational Mechanics

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Piotr Breitkopf, Rajan Filomeno Coelho
John Wiley & Sons, Feb 4, 2013 - Technology & Engineering - 549 pages
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This book provides a comprehensive introduction to the mathematical and algorithmic methods for the Multidisciplinary Design Optimization (MDO) of complex mechanical systems such as aircraft or car engines. We have focused on the presentation of strategies efficiently and economically managing the different levels of complexity in coupled disciplines (e.g. structure, fluid, thermal, acoustics, etc.), ranging from Reduced Order Models (ROM) to full-scale Finite Element (FE) or Finite Volume (FV) simulations. Particular focus is given to the uncertainty quantification and its impact on the robustness of the optimal designs. A large collection of examples from academia, software editing and industry should also help the reader to develop a practical insight on MDO methods.

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An Empirical Study of the Use of Confidence
Response Surface Methodology and Reduced
PDE Metamodeling using Principal Component
Obiectoriented Programming of Optimizers
Reducedorder Models for Coupled Problems
Uncertaint uantification for Robust Desi
Collaborative Optimization
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