Multidisciplinary Design Optimization in Computational Mechanics

Multidisciplinary Design Optimization in Computational Mechanics

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.

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.