A novel study on hybrid physics-data-driven reduced-order modeling for aerodynamic load inversion under structural field uncertainties
Yaru Liu, Lei Wang, Xuan Zhou, Zeshang Li, Yuewu Wang
Topics & Concepts
AerodynamicsInversion (geology)KrigingComputer scienceSubspace topologyField (mathematics)Artificial neural networkUncertainty quantificationAlgorithmLinear subspaceInverse transform samplingControl theory (sociology)Interval (graph theory)Surrogate modelEngineeringAerospaceNoise (video)Structural engineeringSet (abstract data type)Estimation theoryAerodynamic forceOrthonormal basisModel Reduction and Neural NetworksFluid Dynamics and Vibration AnalysisProbabilistic and Robust Engineering Design