NEURAL NETWORK FOR AEROELASTIC ANALYSIS

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

Machine learning1.00
AI hardware0.98
Evolutionary computation0.88
Planning0.12
Natural language0.00
Knowledge representation0.00
Vision0.00
Speech0.00

Ownership

BOEING COMPANY, THE

assignment · 152280509

Assignors

HAUDRICH, DARIN P., PITT, DALE M.

On an employer assignment, the assignors are typically the inventors.

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