Multifidelity Modeling Based on Numerical Eigenfunction Expansions

In this work, a novel method for constructing low-fidelity models tailored for eigenanalysis-based multi-fidelity surrogate optimization frameworks is proposed. Namely, the proposed approach leverages reference eigenfunction expansions to solve a properly formulated boundary value problem (BVP), enabling the rapid computation of characteristic mode solutions for arbitrary structures. To ensure uniqueness and well-posedness of the BVP, a computationally efficient two-dimensional Method of Moments