A Multi-Fidelity Methodology for Reduced Order Models with High-Dimensional Inputs

arXiv:2402.17061v1 Announce Type: new
Abstract: In the early stages of aerospace design, reduced order models (ROMs) are crucial for minimizing computational costs associated with using physics-rich field information in many-query scenarios requiring multiple evaluations. The intricacy of aerospace design demands the use of high-dimensional design spaces to capture detailed features and design variability accurately. However, these spaces introduce significant challenges, including the curse of dimensionality, which stems from both high-dimensional inputs and outputs necessitating substantial training data and computational effort. …

abstract aerospace arxiv computational costs cs.lg design features fidelity information inputs methodology multiple physics query spaces type