The application relates to the technical field of numerical
simulation of the intersection of computational fluid dynamics and computational
heat transfer, and discloses a temperature field prediction method based on multi-model cooperation, which comprises the following steps: training a neural network using an aerodynamic heat
data set to obtain an aerodynamic heat rapid prediction model; selecting multiple different flight trajectories within the
flight envelope of an aircraft and discretizing the flight trajectories into flight operating points; using the aerodynamic heat rapid prediction model to obtain the cold-wall
heat flux of all flight operating points of the flight trajectories under a preset wall surface temperature; using the cold-wall
heat flux as a boundary condition to solve a transient heat
conduction equation of a
thermal protection structure, obtaining the temperature field change of the
thermal protection structure along the flight trajectory under
aerodynamic heating conditions, and forming a structure temperature
field data set; training a neural network using the structure temperature
field data set to obtain a structure
heat transfer prediction model; and using the structure
heat transfer prediction model to predict the temperature field. The application can realize the coupled rapid analysis of aerodynamic heat and wall
surface structure heat transfer under any operating condition within the full
flight envelope.