Estimating Each Element of Joint Stiffness Matrix Using Neural Network-Estimation from the Rotation Vector at End of Jointed Part College of Science and Technology, Nihon Univ. Department of Mechanical Engineering

Format:

Conference/Event

Author/Creator:

Okabe, Akifumi, author.

Conference Name:

Automotive and Transportation Technology Congress and Exposition (2001-10-01 : Barcelona, Spain)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2001

Summary:

The new method, which can quickly and accurately estimate the stiffness of the jointed part of the automobile body structure by using neural network, is proposed. The non-linear relation between the rotation vectors of the end section of the jointed part and the stiffness of the jointed part is constructed by using neural network. Once the relation of both is constructed, the values of joint stiffness can be estimated by only inputting the some elements of rotation vectors into the trained neural network. And the ability of this method was verified by using some examples

Notes:

Vendor supplied data

Publisher Number:

2001-01-3219

Access Restriction:

Restricted for use by site license