{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/83187"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/83187","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Analysis and Design of Concrete Pavement Systems Using Artificial Neural Networks","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. 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