Current Proceedings on Technology

Current Proceedings on Technology

Modelling the buckling behaviour of composite hemispherical dome ends under external pressure using artificial neural networks

Yazarlar: Yob Saed Bin Ismail, Behzad Abdi, Hamid Mozafari, Amran Ayob

Cilt 3 , Sayı - , 2013 , Sayfalar -

Konular:-

Anahtar Kelimeler:Artificial neural networks,Composite materials,Buckling behaviour,Hemispherical dome

Özet: In this study, artificial neural network (ANN) was used in modelling the buckling behaviour of fully clamped composite hemispherical dome ends under external pressure. Due to ability of ANN in learning by examples, this method can be used to simulate a wide range of non-linear complex scientific systems. ANN can be used in medical applications; image recognition and control of dynamic systems and recently have been used for the prediction of the mechanical behaviour of composite materials. This work is an attempt to use finite element analysis and a multi-layered neural network in the modelling of buckling behaviour composite hemispherical dome ends.

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@article{2013, title={Modelling the buckling behaviour of composite hemispherical dome ends under external pressure using artificial neural networks}, volume={3}, number={0}, publisher={Current Proceedings on Technology }, author={Yob Saed Bin Ismail, Behzad Abdi, Hamid Mozafari, Amran Ayob}, year={2013} }
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Yob Saed Bin Ismail, Behzad Abdi, Hamid Mozafari, Amran Ayob. (2013). Modelling the buckling behaviour of composite hemispherical dome ends under external pressure using artificial neural networks (Vol. 3). Vol. 3. Current Proceedings on Technology .
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Yob Saed Bin Ismail, Behzad Abdi, Hamid Mozafari, Amran Ayob. Modelling the Buckling Behaviour of Composite Hemispherical Dome Ends under External Pressure Using Artificial Neural Networks. no. 0, Current Proceedings on Technology , 2013.
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