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38th advanced computational fluid dynamics adjoint methods and their application in computational fluid dynamics - hardcover – VKI LS 2015-04

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38th advanced computational fluid dynamics adjoint methods and their application in computational fluid dynamics, VKI LS 2015-04, ISBN-13 978-2-87516-095-9

Introduction to optimization and multidisciplinary design in aeronautics and turbomachinery

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Adjoint based sensitivity computations can be applied in many fields of modern CFD such as: error estimation for adapted grid generation (EE), multidisciplinary optimization (MDO) and uncertainty quantification (UQ). The latter application in UQ is relatively new and few developments exist.

The purpose of this lecture series proceedings are to bring together the researchers from these different communities, and to stimulate the common interest and exchange of knowhow in using the adjoint formulation. Many times these methods are also coupled with state-of-the-art high order discretization methods such as Discontinuous Galerkin Finite Elements (DG), Finite Volumes (FV), Streamline Diffusion (SD) or Residual Distribution (RD). Moreover, there is also a strong potential in a combination of the different applications such as adaptive grids based on goal oriented error estimation combined with shape optimization, or uncertainty quantification combined with optimization, whereby the adjoint problem can be reused with a different forcing function in the right hand side.

The theory and algorithms used in the field of adjoints, error estimation, optimization and uncertainty quantification are detailed. Emphasis is also put on industrial applications, in particular in the area of steady and unsteady aerodynamics. Achievements, weaknesses and perspectives for future research are critically evaluated.

The lecture series directors are Prof. H. Deconinck & T. Horvath from von Karman Institute

  • ALONSO, J.J. - Stanford University, USA
    Introduction to sensitivity analysis and the adjoint method: derivations, uses, and properties
  • ALONSO, J.J. & ECONOMON, T. D. - Stanford University, USA
    Adjoint methods for sensitivity analysis and optimization
  • ALONSO, J.J. - Stanford University, USA
    Applications of adjoint methods in aerodynamic shape optimization of supersonic aircraft
  • CONGEDO, P.M.1 & FUSI, F.2 - 1INRIA Bordeaux Sud-Ouest, France & 2Politecnico di Milano, Italy
    Introduction to Uncertainty Quantification
    Some perspectives on uncertainty-based derivative-free optimization
  • FIDKOWSKI, K. J. - University of Michigan, USA
    Output-based error estimation and mesh adaptation for steady and unsteady flow problems
  • MAVRIPLIS, D. - University of Wyoming, USA
    Time dependent adjoint methods for single and multi-disciplinary problems
    Functional error estimation and control for time-dependent problems
    Adjoint methods for uncertainty quantification
  • MAY, G. - RWTH Aachen, Germany
    Hybridized discontinuous Galerkin methods: formulation and discrete adjoint
  • MAY, G.; BALAN, A.; WOOPEN, M. - RWTH Aachen, Germany
    Output-based error estimation and mesh adaptation for HDG methods
  • GAUGER, N.R. - Kaiserslautern University of Technology, Germany
    Efficient AD-based approaches for optimization and control in aeronautics
  • D'ANGELO, S.1; RICCHIUTO, M.2; DECONINCK, H.11von Karman Institute for Fluid Dynamics, Belgium & 2INRIA Bordeaux, France
    Adjoint-based error estimation for adaptive Petrov-Galerkin finite element methods

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