Experimental and numerical study of delamination phenomenon in sandwich structures with hybrid corrugated core in the mode II of crack growth

Abstract

The present study experimentally evaluates delamination of hybrid corrugated-core sandwich structures in the mode II of failure under flexural loading. Three sandwich structures with different cores, including core with no reinforcement, trapezoidal reinforcement, and triangular reinforcement, were fabricated. The strain energy release rate (G) of each specimen was then measured in the mode II of crack growth. The R-curves of the specimens were also extracted using experimental data, and by photographing the crack growth. Furthermore, the effects of the initial crack length on the R-curve were measured. In the last phase of this study, the specimens were numerically modeled using the finite element method (FEM). The delamination of the core and face sheets was modeled using the cohesive zone method (CZM), and the load–displacement curves of the specimens were extracted and compared to those of experimental data.

Deep learning-based prediction of delamination growth in composite structures: bayesian optimization and hyperparameter refinement

“…The sandwich structure may eventually fail as a result of delamination growth. The ability to predict delamination progression is crucial because it enables engineers and designers to predict possible sandwich structure failure and take appropriate precautions to prevent or mitigate it [6]. Decisions about the maintenance, repair, and replacement of sandwich structures, as well as the selection of materials and manufacturing procedures, can all be influenced by the delamination growth prediction [4,5].…”

“…Delamination growth is the continuing evolution of the delamination through time, whereas delamination is the initial separation or detachment of the layers. Sandwich structures' reduced loadbearing capability brought on by delamination growth may jeopardize their structural integrity and ultimately cause them to fail [6]. This could have detrimental effects, especially in industries with high stakes, like aerospace and wind energy, where the loss of a component could have negative effects on prices, performance, and safety .…”