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Introduction to optimization and multidisciplinary design - hardcover - VKI LS 2016-03

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Introduction to optimization and multidisciplinary design, VKI LS 2016-03, ISBN-13 978-2-87516-106-2

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 course notes 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 these proceedings is oriented towards junior and experienced engineers and researchers involved in the field of multidisciplinary design and looking for innovative numerical solutions - or set of solutions- for complex multi criteria optimization problems.

The Lecture Series directors are J. Périaux from CIMNE/Univ. Politecnica de Catalunya, Spain and T. Verstraete from the von Karman Institute.

  • VERSTRAETE, T. - Queen Mary University of London, United Kingdom & von Karman Institute for Fluid Dynamics, Belgium
    Introduction to optimization and multidisciplinary design
  • MÜLLER, J.-D. - Queen Mary, University of London, United Kingdom
    Efficient sensitivity computation using automatic differentiation
  • VASSBERG, J. C. & JAMESON, A. - Boeing Commercial Airplanes, USA & Stanford University, USA
    Theoretical background for aerodynamic shape optimization
  • MARTINS, J.R.R.A. – University of Michigan, USA
    Multidisciplinary design optimization of aircraft configurations
    Part I: A modular coupled adjoint approach
    Part II: High-fidelity aerostructural optimization
  • GAUGER, N. - TU Kaiserslautern, Germany
    Adjoint approaches in aerodynamic shape optimization and MDO context.
    Part I and II
  • VASSBERG, J. C. & JAMESON, A. - Boeing Commercial Airplanes, USA & Stanford University, USA
    Industrial applications of aerodynamic shape optimization
  • PIRONNEAU, O. – LJLL, Université Pierre et Marie Curie, France
    A primer on differentiable shape optimization for fluids
  • GIANNAKOGLOU, K. C.; PAPOUTSIS-KIACHAGIAS, E. M.; KAVVADIAS, S. I. - National Technical University of Athens, Greece
    The continuous adjoint method in aerodynamic optimization
  • GIANNAKOGLOU, K. C.1; PAPOUTSIS-KIACHAGIAS, E. M.1; KAVVADIAS, S. I.1; OTHMER, C.2 - 1National Technical University of Athens, Greece & 2VOLKSWAGEN AG, Germany
    Industrial / automotive applications of the continuous adjoint method
  • VASSBERG, J. C. & JAMESON, A. - Boeing Commercial Airplanes, USA & Stanford University, USA
    Influence of shape parameterization on aerodynamic shape optimization
  • VERSTRAETE, T. - Queen Mary University of London, United Kingdom & von Karman Institute for Fluid Dynamics, Belgium
    Multidisciplinary optimization of turbomachinery components using differential evolution
  • GIANNAKOGLOU, K. C.; ASOUTI, V. G.; KAPSOULIS, D. H., TSIAKAS, K. T. - National Technical University of Athens, Greece
    Low cost evolutionary algorithms for engineering applications
  • SHAHPAR, S. - Rolls-Royce Plc, United Kingdom
    Optimisation strategies used in turbomachinery design from an industrial perspective
  • PÉRIAUX, J.1,2 & GONZALEZ, L.F.3 - 1CIMNE/UPC, Barcelona, Spain, 2JYU, Jyvaskyla, Finland & 3Queensland University of Technology, Australia
    Hybridized evolutionary optimization with game strategies for multi objective.
    multi disciplinary design. Applications to aeronautics and UAVs
  • QUAGLIARELLA, D. – Italian Aerospace Research Center, Italy
    Theoretical basis, examples and challenges of aerodynamic shape design using evolutionary computation
  • SHAHPAR, S. - Rolls-Royce Plc, United Kingdom
    Challenges to overcome for routine usage of automatic optimisation in industry

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