no code implementations • 26 Feb 2024 • Bilal Mufti, Christian Perron, Dimitri N. Mavris
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.
no code implementations • 14 Jun 2022 • Christian Perron, Darshan Sarojini, Dushhyanth Rajaram, Jason Corman, Dimitri Mavris
This work presents the application of a recently developed parametric, non-intrusive, and multi-fidelity reduced-order modeling method on high-dimensional displacement and stress fields arising from the structural analysis of geometries that differ in the size of discretization and structural topology. The proposed approach leverages manifold alignment to fuse inconsistent field outputs from high- and low-fidelity simulations by individually projecting their solution onto a common subspace.