Analysis and Design of Concrete Pavement Systems Using Artificial Neural Networks

The findings of this study proved that ANN models could be used to capture the complex multi-dimensional mapping of a large-scale finite element analysis in its connection weights and node biases. Artificial neural networks can perform such complex mappings in real time. The implementation of mechanistic based pavement design concepts can be easily done with the use of similar ANN-based concepts developed in this research. The methodology followed in this research can be applied to map other available complex programs in all fields of engineering with the help of ANNs.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Civil Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Ceylan, Halil

Contributors dc:contributor

• Tutumluer, Erol

• Engineering, Civil

Language dc:language

eng

Identifier

(MiAaPQ)AAI3069980

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/83187