Estimation of flexural capacity of quadrilateral FRP-confined RC columns using combined artificial neural network

► A CANN model was developed for non-circular FRP confined RC columns. ► The results of sixty-one column tests are taken into account during testing and training phases of CANN modeling. ► 99.52% accuracy rate was obtained. ► The proposed CANN model is successful for both FRP confined and unconfined...

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Veröffentlicht in:	Engineering structures 2012-09, Vol.42, p.23-32
Hauptverfasser:	Köroğlu, Mehmet Alpaslan, Ceylan, Murat, Arslan, Musa Hakan, İlki, Alper
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Building structure Buildings. Public works Combined artificial neural networks Computation methods. Tables. Charts Confined column Construction (buildings and works) Durability. Pathology. Repairing. Maintenance Exact sciences and technology Experiment Fiber-reinforced polymer Materials Plastics Reinforced concrete structure Repair (reinforcement, strenthening) Structural analysis. Stresses
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