Journals Proceedings

International Journal of Structural Analysis & Design

Estimation of Shear Strength of RC Beams FRPStrengthened by Using Soft Computing Method and Codes

Author(s) : GUNNURYAVUZ  , MUSA HAKAN ARSLAN   

Abstract

In this study, the efficiency of artificial neural networks (ANN) in predicting the shear strength of reinforced concrete (RC) beams strengthened by means of externally bonded fiber reinforced polymer FRP is explored. Experimental data of rectangular RC beams from an existing database in the literature were used to develop ANN model. Different eight input parameters affecting the shear strength were selected for creating three layered back-propagation method of ANN structure. The initial performance evaluation back propagation was evaluated and discussed. In addition to these, the paper presents a short review of the well-known building codes provisions for the design of RC beams strengthened by means of externally bonded FRP under shear effect. The accuracy of the codes in predicting the shear strength of RC beams FRP strengthened was also examined with comparable way by using same test data. The study concludes that ANN model predicts the shear strength of RC beams FRP strengthened better than existing building code approaches on shear strength.

No fo Author(s) : 2
Page(s) : 123 - 127
Electronic ISSN : 2372-4102
Volume 1 : Issue 3
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