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Shaymaa Abed Hussein on Muck Rack

Shaymaa Abed Hussein

As seen in: Nature
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Articles

Artificial neural network modeling to predict corrective stress of a two-layer composite plate under fully reversed cyclic loading using the finite element method & morrow method

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By Ali Alkhafaji, Mohammed I. Khalaf, Shaymaa Abed Hussein, Mahmood Alsaadi, Dheyaa J. Jasim, Mahmut Taner, Soheil Salahshour, Teeba Ismail Kh
| Nature Verified
Abstract In this study, a single-hidden-layer feedforward Artificial Neural Network was developed to predict the maximum stress of a two-layer composite plate based on the Morrow correction method under fully reversed cyclic loading. A rectangular two-layer plate made of Epoxy Carbon Woven (230 GPa) was analyzed using the Finite Element Method for various fiber orientations of each layer (0°, 15°, 30°, 45°, 60°, 75°, and 90°) relative to the transverse axis.
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Computational modeling of surface energy effects on linear and nonlinear frequencies in different crystalline orientations of anodic aluminum micro-beams | Scientific Reports

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By Shaymaa Abed Hussein
| Nature Verified
Abstract In this paper, the influence of surface energy (SE) on the linear and nonlinear frequencies of anodic aluminum micro beams with [100] and [111] crystalline orientations resting on an elastic substrate are analyzed based on the Timoshenko beam (TB) and Euler–Bernoulli (EB) models, spanning Nano- to micro-scale dimensions. Given the high ratio of surface-to-volume the studied micro beams, the proposed model incorporates SE effects.
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