Data-Driven Unsteady Aerodynamic Modeling for Fluid–Structure Interaction

What is it about?

Data-driven algorithms are used to improve the computation of the unsteady pressure behavior predicted on deforming surfaces when calculated using aerodynamic piston theory. A framework to apply these algorithms to computational simulation data is presented, and a novel method to compute the stability of classical fluid-structural configurations using these algorithms in conjunction with piston theory is presented and demonstrated to improve the predictions of associated stability boundaries.

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