This paper is concerned with the development and application of an analytical model for predicting fatigue crack growth in fibre‐reinforced metal laminates (FRMLs). An analytical model for the distribution of bridging traction is first introduced. Based upon observations of the delamination shapes in FRMLs under fatigue loading and a model for characterizing delamination growth in FRMLs, a model for predicting crack growth rates in CCT specimens of FRMLs is developed. The model is applied to two GLARE laminates (2/1, 3/2 lay‐ups) under various cyclic stress levels and stress ratios. The predicted crack growth rates are compared with experimental data. The predicted crack growth rates agree well with the experimental results.
The half-life for the 2v,L3fl decay transition in IWMo is calculated by using a conventional proton-neutron quasiparticle random phase approximation method and a recently proposed particle number projected quasiparticle random phase approximation formalism. The calculations of the relevant matrix elements have been performed by using a realistic effective two-body interaction constructed from the Bonn one-boson exchange potential. Suppression of the 2vpfl decay matrix element is found both in the unprojected and projected models. The collapse of the quasiparticle random phase approximation formalism, induced by renormalized particle-particle interactions, is found to play an important role in dealing with the numerical stability of the results. The particle number projected results are found to be more stable than those corresponding to the unprojected formalism although the particle number projection does not suffice for a complete elimination of spurious ground-state correlations near the colhpse of the quasiparticle random phase approximation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.