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

@article{Burghardt2019AccurateGC,
  title={Accurate Gradient Computations for Shape Optimization via Discrete Adjoints in CFD-Related Multiphysics Problems},
  author={Ole Burghardt and Nicolas R. Gauger},
  journal={Notes on Numerical Fluid Mechanics and Multidisciplinary Design},
  year={2019}
}
  • O. Burghardt, N. Gauger
  • Published 31 October 2018
  • Computer Science
  • Notes on Numerical Fluid Mechanics and Multidisciplinary Design
As more and more multiphysics effects are entering the field of CFD simulations, this raises the question how they can be accurately captured in gradient computations for shape optimization. The latter has been successfully enriched over the last years by the use of (discrete) adjoints. One can think of them as Lagrange multipliers to the flow field problem linked to an objective function that depends on quantities like pressure or momentums, and they will set also the framework for this paper… 

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