Flüssigkeitsströmungssimulation

Details

Veröffentlichungs-Nr.

EP4510034

Aktenzeichen

EP24191204

Anmeldetag

26. Juli 2024

Veröffentlichung

19. Februar 2025

Rechtsraum

EP

IPC

G06F30/23G06F30/27G06F30/28G06N3/04G05B13/04G06N3/08B64F5/60G05B13/02// G06F113/08

Abstract

A method of using a computer implemented neural network for a simulation of aerodynamic performance of a technical object having a geometry, the method comprising: Training the neural network using a plurality of sets of encodings of pre-computed computational fluid dynamics, CFD, outputs, wherein the training is generated using inputs comprising: a geometry of at least one training technical object; spatial locations of input nodes of the neural network as node attributes; a relationship between the geometry of the at least one training technical object and the neural network input node locations; associated boundary conditions; operating conditions; and computed outputs comprising flow fields and aerodynamic performance parameters; the training using a loss function that evaluates an error between a neural network output and the pre-computed CFD outputs to produce a trained neural network; using the trained neural network with new inputs to generate as output a predicted aerodynamic performance of the technical object, wherein the relationship between the geometry of the at least one training technical object and the neural network input node locations comprises a vector with at least two parameters.

Anmelder

Firma

Rolls-Royce plc

Land

🇬🇧 Großbritannien

Fachgebiete