Dynamic analyses of vehicles

The overall objective of this thesis is to improve the method engineers use to predict the performance of earthmoving vehicle systems. The motivation for this work is shown by illustrating how these predictions are used in the design process to impact the financial well-being of the corporations that use them. The vehicle, the operator who controls the vehicle, and the soil which the vehicle digs, carries, and dumps are the three parts of earthmoving systems whose behavior must be predicted. Practicing engineers have well known techniques for predicting the vehicle's behavior. They do need advances that will allow them to make the predictions more quickly. In this thesis, a method for predicting vehicle behavior known as Kane's method is evaluated to determine if it can address this problem. These engineers currently have difficulty modeling the soil. In this thesis, a new method for modeling soil using neural networks is evaluated and predicted results are compared to test results.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Mechanical Science and Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Ingram, Richard George

Contributors dc:contributor

• Larson, Carl

• Engineering, Mechanical
• Artificial Intelligence

Statement dc:rights

• Copyright 1994 Ingram, Richard George

Language dc:language

eng

Identifier

AAI9512411
(UMI)AAI9512411

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/22781