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Title:Analysis and Design of Concrete Pavement Systems Using Artificial Neural Networks
Author(s):Ceylan, Halil
Doctoral Committee Chair(s):Tutumluer, Erol
Department / Program:Civil Engineering
Discipline:Civil Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Engineering, Civil
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.
Issue Date:2002
Type:Text
Language:English
Description:256 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002.
URI:http://hdl.handle.net/2142/83187
Other Identifier(s):(MiAaPQ)AAI3069980
Date Available in IDEALS:2015-09-25
Date Deposited:2002


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