STATISTICAL ANALYSIS OF DEBONDING FIBER- REINFORCED POLYMER PLATE AND SHEET

Mohamed rida SEBA, Said KEBDANI

Abstract


The fracture mechanics are based on many theoretical models which are analyzed in order to evaluate debonding load in fiber-reinforced polymer composites and concrete.   To show the influence of different geometrical and mechanical structural on its values, for this purpose we have developed a statistical model which is based multi linear regression (MLR) to predict the debonding load of FRP reinforced concrete surface. The parameters used in MLR model were FRP type (plate, sheet), FRP geometry, concrete compressive and specimen width, in this study we perform MLR model using experimental data, then we make comparison between prediction result and experimental result. Then we have showed the performance this model. Next, we perform an evaluation of the MLR validation steps by calculating the statistical parameters. The analysis were performed using the statistical program R version 3.1.0.


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