Predicting the Response of FRP-Strengthened Reinforced-Concrete Flexural Members with Nonlinear Evolutive Analysis Models

Abstract

To design efficient and economical strengthening solutions, the structural performance before and after the intervention must be accurately evaluated. In the case of statically indeterminate structures or when the structure has suffered damage or deterioration, linear elastic analysis methods are not adequate to obtain the residual capacity and the structural effects of the intervention because of the nonlinear response of the structure. In such cases, refined analytical models able to capture the structural nonlinear behavior, the effects of previous damage, and those produced by any intervention are required to design safe and economical strengthening solutions. In this paper, a nonlinear and time-dependent evolutive analysis model, previously developed by the authors, is applied to the prediction of the response of fiber-reinforced polymer (FRP)-strengthened concrete structures in flexure. The model can take into account the structural effects of changes in geometry, structural scheme, material properties, and applied loads that may occur along the structure service life, including those attributable to strengthening. A criterion to predict peeling failure in FRP-strengthened beams on the basis of nonlinear fracture mechanics consisting in evaluating the maximum shear force that can be transmitted to the concrete by the FRP laminate between cracks or at the laminate end is incorporated in the model. Two previous experimental programs have been used to validate the model. First, four RC continuous beams, three of them strengthened with FRP laminates and tested to study the influence of the FRP arrangement, are analyzed. Second, two beams previously precracked owing to service loads and strengthened with FRP are analyzed under increasing load up to failure. In all cases, very good agreement between the theoretical and the experimental results is obtained in terms of deflections, strains, reactions, internal forces, and failure mode, showing the capabilities of the model to evaluate the efficiency of proposed strengthening solutions.