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ANALYSIS OF RC STRUCTURES EMPLOYING NEURAL NETWORKS

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Report on Work Packages 1 to 6

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

"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
Publisher: Institute of Civil Engineering

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
Publisher: Pergamon Press Ltd.

SHEAR FAILURE CRITERION FOR RC T-BEAMS

Author(s): Gregoria Kotsovou, Demitrios Cotsovos
Published in: Engineering Structures (Under Review), 2017
Publisher: Pergamon Press Ltd.

Assessment of RC exterior beam-column Joints based on artificial neural networks and other methods (opens in new window)

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
Publisher: Pergamon Press Ltd.
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
Publisher: HSTAM International Congress on Mechanics

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