Multidisciplinary Design Optimization in Computational Mechanics

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9781848211384: 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.

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About the Author:

Piotr Breitkopf is head of the reason axis "Multidisciplinary Design Optimization" of the Roberal Laboratory at the University of Technology of Compiegne 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.

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Book Description ISTE Ltd and John Wiley Sons Inc, United Kingdom, 2010. Hardback. Condition: New. 1. Auflage. Language: English . Brand New Book. 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. Seller Inventory # AAH9781848211384

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Book Description ISTE Ltd and John Wiley Sons Inc, United Kingdom, 2010. Hardback. Condition: New. 1. Auflage. Language: English . Brand New Book. 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. Seller Inventory # AAH9781848211384

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Piotr Breitkopf (editor), Rajan Filomeno Coelho (editor)
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Book Description ISTE Ltd and John Wiley Sons Inc, United Kingdom, 2010. Hardback. Condition: New. 1. Auflage. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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. Seller Inventory # BTE9781848211384

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