Browse Publications Technical Papers 2005-01-0483
2005-04-11

Improving Virtual Durability Simulation with Neural Network Modeling Techniques 2005-01-0483

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.

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Members save up to 16% off list price.
Login to see discount.
Special Offer: Download multiple Technical Papers each year? TechSelect is a cost-effective subscription option to select and download 12-100 full-text Technical Papers per year. Find more information here.
We also recommend:
TECHNICAL PAPER

Thermal Management Simulations By Coupling of Different Software Packages to a Comprehensive System

2005-01-2061

View Details

TECHNICAL PAPER

Simulation of Dynamic Pinion Course using Runge-Kutta's Method and Impact Modeling

2011-36-0177

View Details

TECHNICAL PAPER

Rapid Algorithm Development Tools Applied to Engine Management Systems

980799

View Details

X