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oai:www.ideals.illinois.edu:2142/83187 2023-07-11 col_2142_5131 col_2142_14770 com_2142_5130 com_2142_3518 com_2142_234

Tutumluer, Erol Ceylan, Halil 2015-09-25T21:03:26Z 2015-09-25T21:03:26Z 10000-01-01 2002 2002 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. Made available in DSpace on 2015-09-25T21:03:26Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3069980.pdf: 9016789 bytes, checksum: e91664bf7d02604510175f3737aba16e (MD5) Previous issue date: 2002 Embargo set by: Seth Robbins for item 84468 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 256 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002. http://hdl.handle.net/2142/83187 (MiAaPQ)AAI3069980 eng Engineering, Civil Analysis and Design of Concrete Pavement Systems Using Artificial Neural Networks text Ph.D. Civil Engineering Civil Engineering University of Illinois at Urbana-Champaign Dissertation