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    Chapter and Conference Paper

    Application of Multitask Learning for Enhancement of Spalart-Allmaras Turbulence Model

    Correcting functional terms using data driven techniques is one recent approach to improve the predictive accuracy of turbulence models. We present a multitask learning framework that can be used to generalize...

    Rohit Pochampalli, Emre Özkaya in New Results in Numerical and Experimental … (2021)

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    Chapter and Conference Paper

    Accurate Gradient Computations for Shape Optimization via Discrete Adjoints in CFD-Related Multiphysics Problems

    As more and more multiphysics effects are entering the field of CFD...

    Ole Burghardt, Nicolas R. Gauger in New Results in Numerical and Experimental … (2020)

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    Chapter and Conference Paper

    Global Aerodynamic Design Optimization via Primal-Dual Aggregation Method

    Global aerodynamic design optimization using Euler or Navier-Stokes...

    Emre Özkaya, Nicolas R. Gauger in New Results in Numerical and Experimental … (2020)

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    Chapter and Conference Paper

    Towards Adjoint-Based Trailing-Edge Noise Minimization Using Porous Material

    In this paper, we present a discrete adjoint-based optimization framework to obtain the optimal distribution of the porous material over the trailing edge of a 3-D flat plate. The near-body strength of the noi...

    Beckett Y. Zhou, Nicolas R. Gauger in New Results in Numerical and Experimental … (2016)

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    Chapter and Conference Paper

    Discrete Adjoint Based Optimal Active Control of Separation on a Realistic High-Lift Configuration

    a for the active separation control mechanism on a realistic high-lift configuration. To control the separation, synthetic jet actuation is applied on the pressure and suction side of a 3D wing with sl...

    Anil Nemili, Emre Özkaya, Nicolas R. Gauger in New Results in Numerical and Experimental … (2016)

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    Chapter and Conference Paper

    A Consistent and Robust Discrete Adjoint Solver for the SU \(^2\) Framework—Validation and Application

    work we introduce a robust and consistent discrete adjoint solver that has been into the open-source multiphysics framework SU \(^2\) 2 by exploitation of the fixed-point structure of the flow s...

    Tim Albring, Max Sagebaum, Nicolas R. Gauger in New Results in Numerical and Experimental … (2016)

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    Chapter

    A Discrete Adjoint Approach for Unsteady Optimal Flow Control

    In this paper, we present a discrete adjoint method for optimal flow control of unsteady incompressible viscous flows. The discrete adjoint solver is developed in an automatic fashion from the flow solver by a...

    Anil Nemili, Emre Özkaya, Nicolas R. Gauger in New Results in Numerical and Experimental … (2013)

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    Chapter and Conference Paper

    An Efficient One-Shot Algorithm for Aerodynamic Shape Design

    In this paper we consider the shape optimization of a transonic airfoil whose aerodynamic properties are calculated by a structured Euler solver. The optimization strategy is based on a one-shot technique in w...

    Emre Özkaya, Nicolas R. Gauger in New Results in Numerical and Experimental … (2010)

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    Chapter and Conference Paper

    Adjoint Methods for Coupled CFD-CSM Optimization

    Multi-disciplinary analysis is necessary to reach physically meaningful optimum designs. For aero-structural shape optimization this means coupling two disciplines – aerodynamics and structural mechanics. In t...

    Nicolas R. Gauger, Antonio Fazzolari in MEGADESIGN and MegaOpt - German Initiative… (2009)

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    Chapter and Conference Paper

    Automatic Differentiation of an Entire Design Chain for Aerodynamic Shape Optimization

    Detailed numerical shape optimization will play a strategic role for future aircraft design. It offers the possibility of designing or improving aircraft components with respect to a pre-specified figure of me...

    Nicolas R. Gauger, Andrea Walther in New Results in Numerical and Experimental … (2008)

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    Chapter

    Efficient Deterministic Approaches for Aerodynamic Shape Optimization

    Because detailed aerodynamic shape optimizations still suffer from high computational costs, efficient optimization strategies are required. Regarding the deterministic optimization methods, the adjoint approa...

    Nicolas R. Gauger in Optimization and Computational Fluid Dynamics (2008)