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Therefore, fatigue crack propagation models for metallic materials have to care about history effects.
A study is undertaken to develop a methodology for determining the suitability of various high-cycle fatigue models for metallic structures subjected to combined thermal-acoustic loadings.
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The third important structural model, the random close-packing model for metallic glasses, is difficult to illustrate with a simple diagram.
In this work, development of a voltage dependent resistance model for metallic carbon nanotubes is aimed.
A predictive model for metallic glass compositional design was constructed based upon the calculated liquidus temperatures.
A theoretical model for metallic surface topography modification by high-frequency vibration is proposed based on the acoustic plasticity.
A multi-atom gas bubble-nucleation mechanism has been proposed as part of a predictive fission-gas release model for metallic nuclear fuels.
Using an idealized atomic packing model for metallic glasses (MGs), we predict the binary alloy compositions structurally favorable for the stability of MGs.
We have previously proposed the "cluster-plus-glue-atom" model for metallic glasses and the relevant cluster formula [cluster](glue atom)x, x ∼ 1 or 3.
The analyses are performed on an elasto-plastic lattice of tetrakaidecahedral cells which provides a surrogate model for metallic foams with open cells.
A recently developed constitutive model and simulation capability for metallic glasses is used to numerically calculate indentation load versus depth curves, and the evolution of corresponding shear-band patterns under the indenter.
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