Multidisciplinary Design Optimization in Computational Mechanics

Multidisciplinary Design Optimization in Computational Mechanics

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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.An in-house finite element code written in MATLAB/SCILAB can solve [4.22] for given boundary conditions. ... Therefore, in order to get a more accurate respresentation of the flow behavior, the Kuttaa€”Joukowski condition is applied: it consists of adding ... + (a€œwho the Kuttaa€”Joukowski coefficient am being chosen such that the velocity vector at the trailing edge is tangential to the airfoil (see Figure 4.10).

Title:Multidisciplinary Design Optimization in Computational Mechanics
Author: Piotr Breitkopf, Rajan Filomeno Coelho
Publisher:John Wiley & Sons - 2013-02-04

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