The Rapid Data-Driven Prediction Method of Coupled Fluid–Thermal–Structure for Hypersonic Vehicles

This work demonstrates the use of Latin Hypercube Sampling and Proper Orthogonal Decomposition in combination with a Radial Basis Function model to perform on vehicle prediction coupled fluid–thermal–structure. We regarded Mach number, flight altitude angle attack as input parameters established rapid model. The basic process numerical simulation hypersonic fluid–thermal–structure was studied obtain database pressure coefficient, heat flux, structural temperature stress sample data train this method. error analyzed. results showed that data-driven method proposed paper based proper orthogonal decomposition radial basis function could be used for predicting good efficiency.