INTRODUCTION TO OPTIMIZATION & MULTIDISCIPLINARY DESIGN IN AR AND TU

From May 31  to June 4, 2010

von Karman Institute, Rhode-St-Genèse, Belgium

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.

This course intends 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 will be 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 course 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.

The Lecture Series directors are Prof. J. Périaux, from CIMNE/Univ. Politecnica de Catalunya, Prof. H. Deconinck and Prof. T. Verstraete from the von Karman Institute for Fluid Dynamics.

TIMETABLE

Monday 31 May, 2010

• 08:45    Registration
• 09:15    Welcome address
  Mr. J. Muylaert, von Karman Institute for Fluid Dynamics, Belgium
• 09:30    Introduction to optimization and multidisciplinary design
  Prof. T. Verstraete, von Karman Institute for Fluid Dynamics, Belgium
• 10:45    Differentiable shape optimization - Part I
  Prof. O. Pironneau, Université Pierre et Marie Curie, France
• 14:00    Differentiable shape optimization - Part II
  Prof. O. Pironneau
• 15 :45    Theoretical background for aerodynamic shape optimization
  Dr. J. Vassberg, The Boeing Company, USA
• 17:00    Reception

Tuesday 1 June, 2010

• 09:00    Adjoint approaches in aerodynamic shape optimization and MDO context – Part I
  Prof. N. Gauger, German Aerospace Center (DLR), Germany & Humboldt University Berlin, Germany
• 10:45    Continuous adjoint method for first- and second-order sensitivities in aerodynamic shape optimization
  Prof. K. Giannakoglou, National Technical University of Athens, Greece
• 14:00    Adjoint approaches in aerodynamic shape optimization and MDO context - Part I
  Prof. N. Gauger
• 15:45    Industrial applications of aerodynamic shape optimization
  Dr. J. Vassberg

Wednesday 2 June, 2010

• 09:00    MOO methods for multidisciplinary design using parallel evolutionary algorithms, game theory and hierarchical topology: theoretical aspects (Part 1)
  Prof. J. Periaux, CIMNE/UPC, Barcelona, Spain and Univ. of Jyvaskyla, Finland
• 10:45    Hierarchical, metamodel-assisted evolutionary algorithms
  Prof. K. Giannakoglou
• 14:00    Multidisciplinary optimization of turbomachinery components using differential evolution
  Prof. T. Verstraete
• 15:45    MOO methods for multidisciplinary design using parallel evolutionary algorithms, game theory and hierarchical topology: numerical aspects and implementation of model test cases (Part 2)
  Prof. F. Gonzalez, Queensland University of Technology, Australia

Thursday 3 June, 2010

• 09:00    Surrogate and reduced-order modeling for optimization of  large-scale systems
  Prof. K. Willcox, Massachusetts Institute of Technology, USA
• 10:45    MOO methods for multidisciplinary design using parallel evolutionary algorithms, game theory and hierarchical topology: practical application to the design and optimization of UAV systems (part 3)
  Prof. F. Gonzalez
• 14:00    Multifidelity modeling approaches for multidisciplinary design optimization
  Prof. K. Willcox
• 15:45     Optimization strategies used in turbomachinery design from an industrial perspective
  Dr. S. Shahpar, Rolls-Royce, U.K.

Friday 4 June, 2010

• 09:00    Uncertainties analysis in engineering
  Prof. Pediroda, Universita di Trieste, Italy
• 10:45    Optimization of propeller blades
  Mr. B. Marinus, von Karman Institute for Fluid Dynamics & Royal Military Academy, Belgium
• 14:00     Challenges facing designers to achieve a successful application of automatic optimization in turbomachinery design
  Dr. S. Shahpar
• 15:45    End of Lecture Series

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Location : von Karman Institute for Fluid Dynamics, Rhode-St-Genèse, Belgium

From 31.05.2010 to 4.06.2010