University of Illinois at Urbana-Champaign
Analysis and Design of Concrete Pavement Systems Using Artificial Neural Networks
Abstract
dc:descriptionThe 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.
Degree
thesis:*- 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 and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Ceylan, Halil
- Contributors dc:contributor
-
- Tutumluer, Erol
Subjects
dc:subject × 1Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- (MiAaPQ)AAI3069980
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/83187