Analysis and Design of Concrete Pavement Systems Using Artificial Neural Networks
Ceylan, Halil
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Permalink
https://hdl.handle.net/2142/83187
Description
Title
Analysis and Design of Concrete Pavement Systems Using Artificial Neural Networks
Author(s)
Ceylan, Halil
Issue Date
2002
Doctoral Committee Chair(s)
Tutumluer, Erol
Department of Study
Civil Engineering
Discipline
Civil Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Civil
Language
eng
Abstract
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.
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