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Article
Open AccessAutoMat: automatic differentiation for generalized standard materials on GPUs
We propose a universal method for the evaluation of generalized standard materials that greatly simplifies the material law implementation process. By means of automatic differentiation and a numerical integra...
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Article
Open AccessDiscrete adjoint methodology for general multiphysics problems
This article presents a methodology whereby adjoint solutions for partitioned multiphysics problems can be computed efficiently, in a way that is completely independent of the underlying physical sub-problems,...
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Chapter and Conference Paper
Scalable Hybrid Parallel ILU Preconditioner to Solve Sparse Linear Systems
Incomplete LU (ILU) preconditioners are widely used to improve the convergence of general-purpose large sparse linear systems in computational simulations because of their robustness, accuracy, and usability a...
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Chapter and Conference Paper
Hybrid Parallel ILU Preconditioner in Linear Solver Library GaspiLS
Krylov subspace solvers such as GMRES and preconditioners such as incomplete LU (ILU) are the most commonly used methods to solve general-purpose, large-scale linear systems in simulations efficiently. Paralle...
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Chapter and Conference Paper
Adjoint-Based Sensitivity Analysis in High-Temperature Fluid Flows with Paticipating Media
We present a novel approach to compute adjoint sensitivities in heat transfer problems involving fluid flows and radiation. The method overcomes the traditional adjoint requirement of an exact Jacobian computa...
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Article
Aerostructural wing shape optimization assisted by algorithmic differentiation
With more efficient structures, last trends in aeronautics have witnessed an increased flexibility of wings, calling for adequate design and optimization approaches. To correctly model the coupled physics, aer...
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Chapter
Robustness Measures for Multi-objective Robust Design
A significant step to engineering design is to take into account uncertainties and to develop optimal designs that are robust with respect to perturbations. Furthermore, when multiple optimization objectives a...
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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...
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Chapter
Towards an Open-Source Framework for Aero-Structural Design and Optimization Within the SU2 Suite
Ongoing efforts to develop a fully open-source framework for the aero-structural design and optimization of wings, including aerodynamic and structural geometric nonlinearities, are presented. The framework is...
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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...
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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...
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Article
Discrete adjoint gradient evaluations for linear stress and vibration analysis
This paper presents methods used to perform discrete adjoint gradient evaluations for linear stress and vibration analysis. The methods are implemented within the framework of a discrete adjoint structural sol...
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Chapter
Robust Airfoil Design in the Context of Multi-objective Optimization
We apply the concept of robustness to multi-objective optimization for finding robust Pareto optimal solutions. The multi-objective optimization and robustness problem is solved by using the
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Article
New Results for the Handling of Additional Equality Constraints in One-Shot Optimization
The one-shot approach is often applied for design optimization tasks involving a slowly converging Newton-like solver for the underlying partial differential equations. The state solver is augmented with an ad...
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Article
A non-intrusive parallel-in-time adjoint solver with the XBraid library
In this paper, an adjoint solver for the multigrid-in-time software library XBraid is presented. XBraid provides a non-intrusive approach for simulating unsteady dynamics on multiple processors while paralleli...
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Article
Applications of automatic differentiation in topology optimization
The goal of this article is to demonstrate the applicability and to discuss the advantages and disadvantages of automatic differentiation in topology optimization. The technique makes it possible to wholly or ...
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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...
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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...
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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...
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Chapter
A Discrete Adjoint Approach for 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...
