Abstract
The aim of the present work is to compare the interlaminar shear strength and fracture toughness of glued carbon fiber rods obtained using different experimental approaches and provide the effective way to characterise the interlaminar properties for reliable simulation of the delamination. Five different test methods (tension, single shear test, and double shear test, mode I and mode II delamination tests) were performed. Using the explicit LS-DYNA code the finite element model capable of simulating the damage process of bonded connection was developed. The interlaminar connection and delamination criteria were calibrated using the parameter identification methodology implemented in LS-OPT optimization tool.
Highlights
Over the past 25 years, the use of advanced composite materials in aircraft primary structures has increased significantly
Interlaminar shear strength has been evaluated by 5 different test types
Single shear test with average value of 6.2 MPa is quite far from the values obtained by other test methods
Summary
Over the past 25 years, the use of advanced composite materials in aircraft primary structures has increased significantly. There are several ways to model delamination: cohesive zone elements, tiebreak contacts, virtual crack closure technique For most of those methods it is needed special material properties and simulation parameters as energy release rate, contact and fracture parameters, shear, and normal stresses as well as element size. Harmful interlaminar shear (ILS) stresses develop at local discontinuities such ply-drops, bonded and bolted joints, or during handling, assembly, or foreign object impact [1]. These stresses need to be evaluated for structural applications, and delamination growth is the fundamental issue in the evaluation of laminated composite systems for durability and damage tolerance. To develop the finite element model capable of simulating the damage process of bonded connection and to calibrate the interlaminar connection and delamination criteria by using the parameter identification methodology
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