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Prediction of the flexural overstrength factor for steel beams using artificial neural network 

Mermerdas, Kasim; Guneyisi, Esra Mete; D'Aniello, Mario; Landolfo, Raffaele (TECHNO-PRESS, 2014-09)
The flexural behaviour of steel beams significantly affects the structural performance of the steel frame structures. In particular, the flexural overstrength (namely the ratio between the maximum bending moment and the ...
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Modeling and analysis of the shear capacity of adhesive anchors post-installed into uncracked concrete 

Mermerdas, Kasim; Gesoglu, Mehmet; Guneyisi, Esra Mete; Guneyisi, Erhan; Yilmaz, Muhammet Enes (ELSEVIER SCI LTD, 2014-04)
This paper reports the results of an analytical study to predict the edge breakout shear capacity of single adhesive anchors post-installed into uncracked hardened concrete. For this purpose, an experimental database for ...
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Analytical prediction of available rotation capacity of cold-formed rectangular and square hollow section beams 

Mermerdas, Kasim; D'Aniello, Mario; Guneyisi, Esra Mete; Landolfo, Raffaele (ELSEVIER SCI LTD, 2014-04)
In this paper, a soft-computing based study aimed to estimate the available rotation capacity of cold-formed rectangular and square hollow section (RHS-SHS) steel beams is described and novel mathematical models based on ...



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Guneyisi, Esra Mete (3)
Mermerdas, Kasim (3)
D'Aniello, Mario (2)Landolfo, Raffaele (2)Gesoglu, Mehmet (1)Guneyisi, Erhan (1)Yilmaz, Muhammet Enes (1)SubjectAdhesion (1)Analytical formulation (1)Analytical modeling (1)Cold-formed hollow sections (1)experimental database (1)flexural overstrength (1)Metal-matrix composites (MMCs) (1)modeling (1)neural networks (1)Rotation capacity (1)... View MoreDate Issued
2014 (3)
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