Patent №
US 7,617,166
Granted
2009-11-10
Filed 2004
Owner
BOEING COMPANY, THE
Lab
—
AI components
3
ml · evo · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
10825032
A system and method of performing aeroelastic analysis using a neural network. Input parameters, such as mass and location, contributing to aeroelastic characterization are determined and constrained. A model of a structure to be analyzed can be constructed. The model can include a number of locations where the input parameters can be varied. The aeroelastic characteristic of the structure can be analyzed using a finite element model to determine a number of output characteristics, each of which can correspond to at least one of a plurality of input samples. A neural network can be generated for determining the aeroelastic characteristic based on input parameters. The input sample/output characteristic pairs can be used to train the neural network. The weights and bias values from the trained neural network can be used to generate a non-linear transfer function that generates the aeroelastic characteristic in response to input parameters.
AI classification
Ownership
BOEING COMPANY, THE
assignment · 152280509
Assignors
HAUDRICH, DARIN P., PITT, DALE M.
On an employer assignment, the assignors are typically the inventors.