Data-driven aerodynamic shape design with distributionally robust optimization approaches

2023/10/13 by Long Chen, Chen, Long, Jan Rottmayer +7
Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Computational Engineering #FOS: Computer and information sciences #FOS: Mathematics #Finance #Optimal Experimental Design Methods #Optimization and Control (math.OC) #Probabilistic and Robust Engineering Design #and Science (cs.CE)

paper · pdf · doi:10.48550/arxiv.2310.08931

openalex publication_date 2023/10/13 · openalex created_date 2023/10/17 · openalex updated_date 2026/07/28

Abstract

We formulate and solve data-driven aerodynamic shape design problems with distributionally robust optimization (DRO) approaches. Building on the findings of the work \citegotoh2018robust, 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.

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