Improving Virtual Durability Simulation with Neural Network Modeling Techniques University of Windsor

Format:

Conference/Event

Author/Creator:

Johrendt, J. L., author.

Conference Name:

SAE 2005 World Congress & Exhibition (2005-04-11 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2005

Summary:

Neural networks are flexible modeling tools that can be used in conjunction with multi-body dynamics models to better predict nonlinear behaviour of components. This paper focuses on a process that incorporates a neural network model of a nonlinear damping force into a single degree of freedom mass-spring-damper model. Software tools and their interaction are specified. The verification of this process is the focal point of this paper and is a necessary step before further correlation studies can be performed on more complex component representations

Notes:

Vendor supplied data

Publisher Number:

2005-01-0483

Access Restriction:

Restricted for use by site license