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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 provides 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 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, Stackelberg parameterization, surrogate and reduced-order modeling (Radial Basis functions, Artificial Neural Networks, Kriging …), multifidelity modeling approaches, robust design, …
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. Jacques Périaux, from CIMNE/Univ. Politecnica de Catalunya and Prof. Tom Verstraete from the von Karman Institute.
- VERSTRAETE, T - von Karman Institute for Fluid Dynamics, Belgium
Introduction to optimization and multidisciplinary design - MEYER, M. - Rolls Royce Deutschland, Germany
Aerodynamic shape optimization of turbomachinery components - an industrial perspective - VASSBERG, J.C.1 & JAMESON, A.2 - 1Boeing Commercial Airplanes, USA & 2Texas A&M University, USA
Theoretical background for aerodynamic shape optimization - VASSBERG, J.C.1 & JAMESON, A.2 - 1Boeing Commercial Airplanes, USA & 2Texas A&M University, USA
Industrial applications of aerodynamic shape optimization - VASSBERG, J.C.1 & JAMESON, A.2 - 1Boeing Commercial Airplanes, USA & 2Texas A&M University, USA
Influence of shape parameterization on aerodynamic shape optimization - MÜLLER, J.-D. - Queen Mary University of London, United Kingdom
Shape optimization with gradient-based methods - MÜLLER, J.-D. - Queen Mary University of London, United Kingdom
CAD-based parametrisations for adjoint optimisation - PÉRIAUX, J.1,2; GONZALEZ, F.3; DONGSEOP, L.4; TANG, Z.5- 1CIMNE/UPC, International Centre for Numerical Methods in Engineering, Spain; 2JYU, University of Jyväskylä, Finland; 3Queensland University of Techonology and Australian Research Centre for Aerospace Automation, Australia; 4EzInno-Lab Co., Ltd., South Korea; 5Nanjing University of Aeronautics and Astronautics, China
Hybridized evolutionary optimization with game strategies for multi objective, multi-disciplinary design. Applications to drag reduction in aeronautics - GIANNAKOGLOU, K.C.; PAPOUTSIS-KIACHAGIAS, E.M.; GKARAGKOUNIS, K.T.; SAMOUCHOS, K.D.; VEZYRIS, C.A.; KOCH, J.R.L. - National Technical University of Athens, Greece
The continuous adjoint method in aero/hydrodynamic optimization - GAUGER, N.R. - TU Kaiserslautern, Germany
Adjoint approaches in aerodynamic shape optimization and MDO context. Part I & II - MÜLLER, L.1; MÜLLER, J.-D.2; VERSTRAETE, T.1 - 1von Karman Institute for Fluid Dynamics, Belgium & 2Queen Mary University of London, United Kingdom
CAD-based multidisciplinary optimization of turbomachinery components by gradient-based methods - GIANNAKOGLOU, K.C.; ASOUTI, V.G.; KAPSOULIS, D.H.; TSIAKAS, K.T.;
TROMPOUKIS, X.S.; GAGLIARDI, F. - National Technical University of Athens, Greece
Low cost evolutionary algorithms for engineering applications - PIRONNEAU, O. - Université Paris-Sorbonne, France
Shape optimization by gradient methods for fluids - DWIGHT, R.P.; DE BAAR, J.; AZIJLI, I. - TU Delft, The Netherlands
Adaptive surrogate modelling for global optimization - ABBAS, A. – Universidad Politecnica de Madrid UPM, Spain
Aircraft multidisciplinary design via numerical simulation/optimization – “Opportunities and challenges - VERSTRAETE, T.; MÜLLER, L.; AISSA, M. – von Karman Institute for Fluid Dynamics, Belgium
Multidisciplinary optimization of turbomachinery components using differential evolution
Additional Information
| Manufacturer | von Karman Institute for Fluid Dynamics |
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