Dual-Horizon Peridynamics Analysis of Debonding Failure in FRP-to-Concrete Bonded Joints

Abstract

A dual-horizon peridynamics (DH-PD) model is proposed for the simulation of debonding process in fiber-reinforced polymer (FRP)-to-concrete bonded joints. In the novel procedure of implementing DH-PD in the framework of finite element method (FEM), truss elements are employed to represent the bonds and dual-bonds. The quadtree approach is utilized to generate the multi-scale discretization and a volume correction scheme based on the background grid is proposed for the non-uniform grid. A benchmark numerical example is performed to test the accuracy and efficiency of the developed model in analysis of the bond behavior. The predicted results are consistent with the experimental findings, the FEM results and the analytical solutions. Additionally, these results demonstrate that the bond strength and the debonding ductility are visibly affected by concrete strength and the thickness of FRP plate, while the adhesive thickness has no significant impact on the debonding behavior.

Predicting shear failure in reinforced concrete members using a three-dimensional peridynamic framework

“…Lu et al [40] simulate anchor bolt pullout in concrete by introducing a short-range interaction force to reproduce the interaction between the concrete and steel anchor bolt. Li and Guo [41] recently used a dual-horizon peridynamic model to simulate the debonding process in fibre-reinforced polymer (FRP)-to-concrete bonded joints. A multi-scale discretisation scheme is used and the mesh is refined at the bond interface.…”

A Review on the Developments of Peridynamics for Reinforced Concrete Structures

“…Other authors have proposed different constitutive models other than the PMB. For instance, a conical micromodulus has been used by [17,53,92] and it is defined as:…”

“…Li and Guo [92] have used a dual-horizon PD model to investigate fibre-reinforced polymers bonded to a concrete structure. The dual-horizon was first introduced by [122,123] to tackle the issue of particles with different horizon sizes, and is particularly useful for adaptivity [17,52] or for irregular particle discretisations [112].…”