Multidisciplinary Design Optimization In Computational Mechanics Piotr Breitkopf by Piotr Breitkopf, Rajan Filomeno Coelho 9781118600153, 9781848211384, 1118600150, 1848211384 instant download after payment.

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.Content:
Chapter 1 Multilevel Multidisciplinary Optimization in Airplane Design (pages 1–16): Michel Ravachol
Chapter 2 Response Surface Methodology and Reduced Order Models (pages 17–64): Manuel Samuelides
Chapter 3 PDE Metamodeling Using Principal Component Analysis (pages 65–117): Florian De Vuyst
Chapter 4 Reduced?Order Models for Coupled Problems (pages 119–197): Rajan Filomeno Coelho, Manyu Xiao, Piotr Breitkopf, Catherine Knopf?Lenoir, Pierre Villon and Maryan Sidorkiewicz
Chapter 5 Multilevel Modeling (pages 199–263): Pierre?Alain Boucard, Sandrine Buytet, Bruno Soulier, Praveen Chandrashekarappa and Regis Duvigneau
Chapter 6 Multiparameter Shape Optimization (pages 265–285): Abderrahmane Benzaoui and Regis Duvigneau
Chapter 7 Two?Discipline Optimization (pages 287–319): Jean?Antoine Desideri
Chapter 8 Collaborative Optimization (pages 321–367): Yogesh Parte, Didier Auroux, Joel Clement, Mohamed Masmoudi and Jean Hermetz
Chapter 9 An Empirical Study of the Use of Confidence Levels in RBDO with Monte?Carlo Simulations (pages 369–404): Daniel Salazar Aponte, Rodolphe Le Riche, Gilles Pujol and Xavier Bay
Chapter 10 Uncertainty Quantification for Robust Design (pages 405–424): Regis Duvigneau, Massimiliano Martinelli and Praveen Chandrashekarappa
Chapter 11 Reliability?based Design Optimization (RBDO) (pages 425–458): Ghias Kharmanda, Abedelkhalak El Hami and Eduardo Souza De Cursi
Chapter 12 Multidisciplinary Optimization in the Design of Future Space Launchers (pages 459–468): Guillaume Collange, Nathalie Delattre, Nikolaus Hansen, Isabelle Quinquis and Marc Schoenauer
Chapter 13 Industrial Applications of Design Optimization Tools in the Automotive Industry (pages 469–498): Jean?Jacques Maisonneuve, Fabian Pecot, Antoine Pages and Maryan Sidorkiewicz
Chapter 14 Object?Oriented Programming of Optimizers – Examples in Scilab (pages 499–538): Yann Collette, Nikolaus Hansen, Gilles Pujol, Daniel Salazar Aponte and Rodolphe Le Riche