Discretization error control for constrained aerodynamic shape optimization

DOI10.1016/j.jcp.2019.02.038zbMath1452.76208OpenAlexW2920409060WikidataQ128302357 ScholiaQ128302357MaRDI QIDQ2220563

Guodong Chen, Krzysztof J. Fidkowski

Publication date: 25 January 2021

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcp.2019.02.038

zbMATH Keywords

adjoint-based error estimationconstrained aerodynamic optimizationdiscretization error controlmultifidelity optimizationoutput-based mesh adaptationunstructured mesh optimization

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) General aerodynamics and subsonic flows (76G25) Variational methods applied to problems in fluid mechanics (76M30) Mesh generation, refinement, and adaptive methods for boundary value problems involving PDEs (65N50) Flow control and optimization for compressible fluids and gas dynamics (76N25) Compressible Navier-Stokes equations (76N06)

Related Items

Aerodynamic design optimization: challenges and perspectives, Multi-condition multi-objective optimization using deep reinforcement learning, Output-based adaptive aerodynamic simulations using convolutional neural networks, Local-maximum-and-minimum-preserving solution remapping technique to accelerate flow convergence for discontinuous Galerkin methods in shape optimization design

Uses Software

• bamg
• DFVLR-SQP
• Spalart-Allmaras

Cites Work

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