Data-driven aerodynamic shape design with distributionally robust optimization approaches
Computational Engineering, Finance, and Science
2023-10-16 v1 Optimization and Control
Abstract
We formulate and solve data-driven aerodynamic shape design problems with distributionally robust optimization (DRO) approaches. Building on the findings of the work \cite{gotoh2018robust}, we study the connections between a class of DRO and the Taguchi method in the context of robust design optimization. Our preliminary computational experiments on aerodynamic shape optimization in transonic turbulent flow show promising design results.
Cite
@article{arxiv.2310.08931,
title = {Data-driven aerodynamic shape design with distributionally robust optimization approaches},
author = {Long Chen and Jan Rottmayer and Lisa Kusch and Nicolas R. Gauger and Yinyu Ye},
journal= {arXiv preprint arXiv:2310.08931},
year = {2023}
}