Optimizing the Flexural Strength of Beams Reinforced with Fiber Reinforced Polymer Bars Using Back-Propagation Neural Networks

Optimizing the Flexural Strength of Beams Reinforced with Fiber Reinforced Polymer Bars Using Back-Propagation Neural Networks

The reinforced concrete with fiber reinforced polymer (FRP) bars (carbon, aramid, basalt and glass) is used in places where a high ratio of strength to weight is required and corrosion is not acceptable. Behavior of structural members using (FRP) bars is hard to be modeled using traditional methods...

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Bibliographic Details
Main Authors: Bahman O. Taha, Peshawa J. Muhammad Ali, Haval A. Ahmed
Format: Article
Language:English
Published: Koya University 2016-05-01
Series:ARO-The Scientific Journal of Koya University
Subjects:
concrete, fiber reinforced bars, fiber reinforced polymer (frp), neural networks
Online Access:http://aro.koyauniversity.org/article/view/27

Internet

http://aro.koyauniversity.org/article/view/27

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