Strength Research Of Bolted Joints In Composite Laminates By Using A Progressive Damage Model | Mekhanika | kompozitsionnykh | materialov i konstruktsii
> Volume 22 > №2 / 2016 / Pages: 225-244

Strength Research Of Bolted Joints In Composite Laminates By Using A Progressive Damage Model

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The experimental strength research of double-shear bolted joints manufactured of carbon fibre plastic KMKU and Torayca T700 was carried out. The specimens with different staking sequences, hole diameters, geometric parameters as well as bolt tightening forces are considered. The computational estimation of the failure load and the failure mode of double-shear bolted joints in composite laminates was done based on progressive damage model. The progressive damage model was implemented in the three-dimensional definition and it includes stress analysis, failure analysis and material property degradation according to the detected damage mode. Stress analysis was performed with the finite element method using the three-dimensional model with a consideration of the contact between the bolt and the surface of the hole as well as the presence of the bolt tightening and friction. The 3-D Hashin failure criteria were used for the failure analysis, which allows the identification of different failure modes of composite laminate such as matrix tensile and compressive cracking, fibre tensile and compressive failure, fibre matrix shear-out as well as delamination in tension and compression. The degradation measure of material property was chosen on the basis of the approach proposed by Tan and extended to the three-dimensional case by Camanho and Matthews. The failure load estimation was based on the joint load-displacement curve. The failure mechanism was predicted by the characteristic distribution of damaged elements in the loaded hole area. The efficiency of the use of a progressive damage model for the prediction of failure load and failure mode of the bolted joint was confirmed by comparison betweencomputational research results and experimental data.