Multidisciplinary Design Optimization in Computational Mechanics
Publication Date: May 2010 Hardback 576 pp.
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.
We assume that the audience has some previous exposure to computational mechanics and optimization. Formal coursework in basic optimization algorithms and simulation methods would be helpful, but is not essential, as the concepts are progressively introduced throughout the text.
The book may by used in a graduate-level course on MDO for students, engineers and researchers, and in industrial short courses and seminars for a wide variety of technical backgrounds.
1. Multilevel Multidisciplinary Optimization in Airplane Design, Michel Ravachol.
2. Response Surface Methodology and Reduced Order Models, Manuel Samuelides.
3. PDE Metamodeling using Principal Component Analysis, Florian De Vuyst.
4. Reduced-order Models for Coupled Problems, Rajan Filomeno Coelho, Manyu Xiao, Piotr Breitkopf, Catherine Knopf-Lenoir, Pierre Villon and Maryan Sidorkiewicz.
5. Multilevel Modeling, Pierre-Alain Boucard, Sandrine Buytet, Bruno Soulier, Praveen Chandrashekarappa and Régis Duvigneau.
6. Multiparameter Shape Optimization, Abderrahmane Benzaoui and Régis Duvigneau.
7. Two-discipline Optimization, Jean-Antoine Desideri.
8. Collaborative Optimization, Yogesh Parte, Didier Auroux, Joël Clément, Mohamed Masmoudi and Jean Hermetz.
9. An Empirical Study of the Use of Confidence Levels in RBDO with Monte-Carlo Simulations, Daniel Salazar Aponte, Rodolphe Le Riche, Gilles Pujol and Xavier Bay.
10. Uncertainty Quantification for Robust Design, Régis Duvigneau, Massimiliano Martinelli and Praveen Chandrashekarappa.
11. Reliability-based Design Optimization (RBDO), Ghias Kharmanda, Abedelkhalak El Hami and Eduardo Souza de Cursi.
12. Multidisciplinary Optimization in the Design of Future Space Launchers, Guillaume Collange, Nathalie Delattre, Nikolaus Hansen, Isabelle Quinquis and Marc Schoenauer.
13. Industrial Applications of Design Optimization Tools in the Automotive Industry, Jean-Jacques Maisonneuve, Fabian Pecot, Antoine Pages and Maryan Sidorkiewicz.
14. Object-oriented Programming of Optimizers – Examples in Scilab, Yann Collette, Nikolaus Hansen, Gilles Pujol, Daniel Salazar Aponte and Rodolphe Le Riche.
About the Authors
Piotr Breitkopf is the head of the research axis "Multidisciplinary Design Optimization" of the Roberval Laboratory at the University of Technology of Compiègne in France. His research interests include meshfree methods and high performance computing.
Rajan Filomeno Coelho is a research engineer at the Building, Architecture & Town Planning Department (BATir) at ULB in Belgium. His current research interests include multidisciplinary design optimization, multicriteria evolutionary algorithms and metamodeling techniques.