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Introduction to optimization and multidisciplinary design in aeronautics and turbomachinery - hardcover VKI LS 2014-04

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Introduction to optimization and multidisciplinary design in aeronautics and turbomachinery., VKI LS 2014-04, ISBN 13 978-2-87516-073-7

Introduction to optimization and multidisciplinary design in aeronautics and turbomachinery

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  • Introduction to optimization and multidisciplinary design in aeronautics and turbomachinery

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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.

These 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 Course notes 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/UPC, Spain and Univ. of Jyvaskyla, Finland and Prof. T. Verstraete from the von Karman Institute.

  • VERSTRAETE, T. – The von Karman Institute for Fluid Dynamics, Belgium
    Introduction to optimization and multidisciplinary design
  • VASSBERG, J.C.1 & JAMESON, A.2 – 1Boeing Commercial Airplanes, USA & 2Stanford University, USA
    Theoretical background for aerodynamic shape optimization
  • GAUGER, N.R. - RWTH Aachen University, Germany
    Adjoint approaches in aerodynamic shape optimization and MDO context
  • GIANNAKOGLOU, K.C.; PAPOUTSIS-KIACHAGIAS, E.M.; PAPADIMITRIOU, D.I.; KAVVADIAS, I.S. – National Technical University of Athens, Greece
    The continuous adjoint method in shape, flow control and topology optimization
  • VASSBERG, J.C.1 & JAMESON, A.21Boeing Commercial Airplanes, USA & 2Stanford University, USA
    Industrial applications of aerodynamic shape optimization
  • OTHMER, C.1; PAPOUTSIS-KIACHAGIAS, E.M.2; GIANNAKOGLOU, K.C.21Volkswagen AG, Germany & 2National Technical University of Athens, Greece
    Industrial/automotive applications of the adjoint method
  • ALONSO, J.J.; PALACIOS, F.; LUKACZYK, T. - Stanford University, USA
    Adjoint-based Techniques for Supersonic Aircraft Design: Aerodynamic Performance and Sonic Boom Optimization
  • PIRONNEAU, O. - LJLL, Université Pierre et Marie Curie, France
    Differentiable shape optimization for fluids
  • VASSBERG, J.C.1 & JAMESON, A.21Boeing Commercial Airplanes, USA & 2Stanford University, USA
    Influence of shape parametrization on aerodynamic shape optimization
  • GIANNAKOGLOU, K.C.; ASOUTI, V.G.; KYRIACOU, S.A. – National Technical University of Athens, Greece
    Reduced cost evolutionary algorithms for industrial applications
  • ALONSO, J.J. & LUKACZYK, T. - Stanford University, USA
    Multi-fidelity surrogate methods for the design optimization of future aircraft
  • VERSTRAETE, T. – The von Karman Institute for Fluid Dynamics, Belgium
    Multidisciplinary optimization of turbomachinery components using differential evolution
  • SHAHPAR, S. - Rolls-Royce Plc, United Kingdom
    Optimisation strategies used in turbomachinery design from an industrial perspective
  • PERIAUX, J.1,2, GONZALEZ, L. F.3, LEE, D.S1 - 1CIMNE/UPC, Spain; 2JYU, Jyvaskyla, Finland; 3Queensland University of Technology, Australia
    Part 1: hybridized evolutionary optimization with game strategies for multidisciplinary design. Theoretical aspects. Part 1
    Part 2: Applications to Aeronautics: numerical and implementation aspects
  • DWIGHT, R.P.; DE BAAR, J.; AZIJLI, I. – TU Delft, The Netherlands
    A tutorial on adaptive surrogate modelling for global optimization
  • SHAHPAR, S. - Rolls-Royce Plc, United Kingdom
    Challenges to overcome for routine usage of automatic optimisation in industry

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