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Introduction to optimization and multidisciplinary design in aeronautics and turbomachinery - hardcover

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VKI LS 2010-07, Introduction to optimization and multidisciplinary design in aeronautics and turbomachinery,, hardcover, 1 volume, ISBN 978-2-87516-009-6

Introduction to optimization and multidisciplinary design in aer

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INTRODUCTION TO OPTIMIZATION AND MULTIDISCIPLINARY DESIGN IN AERONAUTICS AND TURBOMACHINERY
Edited by T. Verstraete & J. Périaux
VKI LS 2010-07, hardcover, 1 volume, ISBN 978-2-87516-009-6

Innovative optimization and design techniques for modern aircraft (manned or UAV/UCAV) and engine systems aiming at maximum performance in a multidisciplinary context (aerodynamic efficiency, safety, drag, losses, weight, strength, heat fluxes, emission, noise, …), are now rapidly moving from research labs to industrial real and virtual platforms. To reach concurrently this level of excellence, emergent optimization methodologies require more and more robust and efficient associated software for a daily use in industrial collaborative design environments.

These Lecture Series proceedings intend to provide the basic concepts and tools behind this technology, both in single discipline (single point or multi point design) and multidisciplinary (fluid-structure interaction, fluid-acoustics, conjugate heat transfer, …) context. Subjects which are treated in detail include: gradient based and steepest descent methods, adjoint methods, one shot or goal oriented methods, evolutionary/differential evolution algorithms on parallel environments, game strategies like Pareto Fronts and Nash Equilibrium, parameterization, surrogate and reduced-order modeling (Radial Basis-Functions, Artificial Neural Networks, Kriging …), multifidelity modeling approaches,  robust design, …

The content of this book is oriented towards junior and experienced engineers and researchers involved in the field of multi disciplinary design and looking for innovative numerical solutions - or set of solutions- for complex multi criteria optimization problems.

VERSTRAETE, T. – von Karman Institute for Fluid Dynamics, Belgium
Introduction to optimization and multidisciplinary design

PIRONNEAU, O. – University of Paris VI, France
Shape optimization for fluids

VASSBERG, J.C. & JAMESON, A. – The Boeing Company, USA & Stanford University, USA
Theoretical background for aerodynamic shape optimization

GAUGER, N.R. – German Aerospace Center (DLR) & Humboldt University Berlin, Germany
Adjoint approaches in aerodynamic shape optimization and MDO context I/II

GIANNAKOGLOU, K.C.; PAPADIMITRIOU, D.I.; ZYMARIS, A.S.. – National Technical University of Athens, Greece
The continuous adjoint method for first- and second-order sensitivities in aerodynamic shape optimization

VASSBERG, J.C. & JAMESON, A. – The Boeing Company, USA & Stanford University, USA
Industrial applications of aerodynamic shape optimization

PERIAUX, J.1,2; GONZALEZ, L.F.3; LEE, D.S.11CIMNE/UPC, Spain; 2University of Jyvaskyla, Finland; 3Queensland University of Technology Australia
MOO methods for multidisciplinary design using parallel evolutionary algorithms, game theory and hierarchical topology: theoretical aspects (Part 1)

GIANNAKOGLOU, K.C. ; ASOUTI, V.G. ; KAMPOLIS, I.C. – National Technical University of Athens, Greece
Hierarchical, metamodel – assited evolutionary algorithms

VERSTRAETE, T. – von Karman Institute for Fluid Dynamics, Belgium
Multidisciplinary optimization of turbomachinery components using differential evolution

GONZALEZ, L.F.1; LEE, D.S.2; PERIAUX, J.2,3; – 1Queensland University of Technology Australia; 2CIMNE/UPC, Spain; 3University of Jyvaskyla, Finland
MOO methods for multidisciplinary design using parallel evolutionary algorithms, game theory and hierarchical topology: numerical aspects and implementation of model test cases (Part 2)

MARCH, A. & WILLCOX K. – Massachussets Institute of Technology, USA
Surrogate and reduced-order modeling for optimization of large-scale systems

LEE, D.S.1; GONZALEZ, L.F.2; PERIAUX, J.1,3; – 1CIMNE/UPC, Spain; 2Queensland University of Technology Australia; 3University of Jyvaskyla, Finland
MOO methods for multidisciplinary design using parallel evolutionary algorithms, game theory and hierarchical topology: practical application to the design and optimisation of UAV system (Part 3)
MARCH, A. & WILLCOX K. – Massachussets Institute of Technology, USA
Multifidelity modeling approaches for multidisciplinary design optimization

SHAHPAR, S. – Rolls-Royce Plc., United Kingdom
Optimisation strategies used in turbomachinery design from an industrial perspective

PEDIRODA, V. & POLONI, C. – Università di Trieste, Italy
Uncertainties analysis in engineering

MARINUS, B.G.1,2 ; VERSTRAETE, T.2 ; VAN DEN BRAEMBUSSCHE, R.A.2; ROGER, M.31Royal Military Academy, Belgum; 2von Karman Institute for Fluid Dynamics, Belgium, 3Ecole Centrale de Lyon, France
Optimization of propeller blades

SHAHPAR, S. – Rolls-Royce Plc., United Kingdom
Challenges to overcome for routine usage of automatic optimisation in industry

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