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In the University archives and public-policy papers, about 120 collections include born-digital materials, taking up about 3 terabytes of storage (a modest footprint by archival standards).
From the simulations, the initial and subsequent tenth-value layers (TVL) for these materials, taking into account realistic clinical photon spectra, are presented, for primary radiation.
Kathy Wiles, senior adviser for e-learning at the UK's Learning and Teaching Support Network, estimated that about 20% of study in British universities is e-learning - students downloading materials, taking part in online discussions or assessments.
Therefore, at least in the preliminary design phase, simple expressions to estimate the fatigue properties of these materials, taking advantage of their static properties, can be useful for designers.
This study proposes an analytical and numerical model, for the prediction of mechanical properties of orthogonal 3D reinforcement composite materials, taking into account their structural parameters (mechanical properties of the components and geometrical architecture).
