Prediction of nonlinear viscoelastic behavior of polymeric composites using an artificial neural network

By M. Al-Haik, M. Yousuff Hussaini, Hamid Garmestani. 2006

159 citations recorded by the source corpus.

Subfields: Building and Construction, Mechanical Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/cc5db966d5158a52260dd6c0428ab14b92dd0681

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Mechanical Engineering

1. M. Al-Haik
2. Scott W. Case
3. Fuat Kara
4. Adem Çiçek
5. B. Işık
6. Ömer Erkan

In Mechanics of Materials

1. M. Al-Haik

Citations in the corpus

• Prediction of Damage Factor in end Milling of Glass Fibre Reinforced Plastic Composites Using Artificial Neural Network (2013, methodology): “[13] developed an alternative model based on an ANN to predict the stress relaxation of the polymer matrix composite.”
• Mechanical characterization and impact damage assessment of a woven carbon fiber reinforced carbon nanotube-epoxy composite (2013, methodology): “The authors have used this epoxy system to manufacture both FRPs [28,29] and nanocomposites based on SWCNT [30] and MWCNT [31].”