Reduced-Order Modeling

A novel study on hybrid physics-data-driven reduced-order modeling for aerodynamic load inversion under structural field uncertainties
A hybrid physics–data-driven reduced-order modeling framework is proposed for aerodynamic load inversion under structural field uncertainty.
PDF Cite DOI
Real-Time In-Service Load Tracking Toward Airframe Digital Twins
A real-time load tracking method combining deep learning and an improved inverse–direct approach enables sensor-free airframe monitoring.
PDF Cite DOI