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ANALYSIS OF RC STRUCTURES EMPLOYING NEURAL NETWORKS

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Publications

Report on Work Packages 1 to 6

Author(s): Gregoria Kotsovou (Cotsovos)
Published in: 2017, Page(s) 1 to 400

"Reappraisal of methods for calculating flexural capacity of RC members"" has been received safely by Structures and Buildings"

Author(s): Gregoria Kotsovou, Afaq Ahmad, Demitrios Cotsovos, Nikos Lagaros
Published in: Structures and Buildings (under review), 2017

ASSESSING THE ACCURACY OF RC DESIGN CODE PREDICTIONS THROUGH THE USE OF ARTIFICIAL NEURAL NETWORKS

Author(s): Afaq Ahmad, Gregoria Kotsovou, Demitrios Cotsovos, Nikos Lagaros
Published in: Engineering Structures (under review), 2017

SHEAR FAILURE CRITERION FOR RC T-BEAMS

Author(s): Gregoria Kotsovou, Demitrios Cotsovos
Published in: Engineering Structures (Under Review), 2017

Assessment of RC exterior beam-column Joints based on artificial neural networks and other methods

Author(s): Gregoria M. Kotsovou, Demitrios M. Cotsovos, Nikos D. Lagaros
Published in: Engineering Structures, Issue 144, 2017, Page(s) 1-18, ISSN 0141-0296
DOI: 10.1016/j.engstruct.2017.04.048

ASSESSING THE LOAD CARRYING CAPACITY OF RC MEMBERS THROUGH THE USE OF ARTIFICIAL NEURAL NETWORKS

Author(s): Afaq Ahmad,Gregoria Kotsovou, Demetrios M. Cotsovos, Nikos Lagaros
Published in: HSTAM International Congress on Mechanics, 2016