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Teeba Ismail Kh on Muck Rack

Teeba Ismail Kh

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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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