Artificial neural networks in prediction of mechanical behavior of concrete at high temperature

Nuclear Engineering and Design ◽

10.1016/s0029-5493(97)00152-0 ◽

1997 ◽

Vol 178 (1) ◽

pp. 1-11 ◽

Author(s):

Abhijit Mukherjee ◽

Sudip Nag Biswas

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

High Temperature ◽

Mechanical Behavior ◽

Artificial Neural

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Artificial Neural Networks for Predicting the Mechanical Behavior of Cement-Based Composites after 100 Cycles of Aging

Composite Materials Technology ◽

10.1201/9781420093339-12 ◽

2009 ◽

pp. 179-204

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Mechanical Behavior ◽

Artificial Neural

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Modeling the Mechanical Behavior of Carbonate Sands Using Artificial Neural Networks and Support Vector Machines

International Journal of Geomechanics ◽

10.1061/(asce)gm.1943-5622.0000509 ◽

2016 ◽

Vol 16 (1) ◽

pp. 04015038 ◽

Author(s):

V. R. Kohestani ◽

M. Hassanlourad

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Support Vector Machines ◽

Mechanical Behavior ◽

Support Vector ◽

Vector Machines ◽

Artificial Neural

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Modeling the mechanical behavior of fiber-reinforced polymeric composite materials using artificial neural networks—A review

Composite Structures ◽

10.1016/j.compstruct.2005.01.020 ◽

2006 ◽

Vol 73 (1) ◽

pp. 1-23 ◽

Author(s):

Hany El Kadi

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Composite Materials ◽

Mechanical Behavior ◽

Polymeric Composite ◽

Fiber Reinforced ◽

Polymeric Composite Materials ◽

Artificial Neural

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Determining temperature and partial pressures of the components of a high-temperature gas mixture using artificial neural networks

Journal of Physics Conference Series ◽

10.1088/1742-6596/1680/1/012016 ◽

2020 ◽

Vol 1680 ◽

pp. 012016

Author(s):

D E Kashirskii

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

High Temperature ◽

Gas Mixture ◽

Partial Pressures ◽

Artificial Neural ◽

High Temperature Gas

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Modeling of the mechanical behavior of polyethylene/polypropylene blends using artificial neural networks

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-012-4069-4 ◽

2012 ◽

Vol 64 (5-8) ◽

pp. 601-611 ◽

Author(s):

Basem F. Yousef ◽

Abdel-Hamid I. Mourad ◽

Ali Hilal-Alnaqbi

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Mechanical Behavior ◽

Artificial Neural ◽

Polypropylene Blends

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Prediction of the Behaviours by the Prismatic Beams with Polypropylene Fibers under High Temperature Effects through Artificial Neural Networks

Proceedings of the 4th International Joint Conference on Computational Intelligence ◽

10.5220/0004114006110615 ◽

2012 ◽

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

High Temperature ◽

Temperature Effects ◽

Polypropylene Fibers ◽

Artificial Neural

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Asphalt concrete mechanical behavior prediction by Artificial Neural Networks

Bituminous Mixtures and Pavements VII ◽

10.1201/9781351063265-38 ◽

2019 ◽

pp. 252-261

Author(s):

M. Pasetto ◽

N. Baldo ◽

E. Manthos

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Mechanical Behavior ◽

Asphalt Concrete ◽

Behavior Prediction ◽

Artificial Neural

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Artificial Neural Networks in Prediction of Concrete Strength Reduction Due to High Temperature

ACI Materials Journal ◽

10.14359/14302 ◽

2005 ◽

Vol 102 (2) ◽

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

High Temperature ◽

Concrete Strength ◽

Strength Reduction ◽

Artificial Neural

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Artificial neural networks for dynamic monitoring of simulated-operating parameters of high temperature gas cooled engineering test reactor (HTTR)

Annals of Nuclear Energy ◽

10.1016/s0306-4549(03)00137-3 ◽

2003 ◽

Vol 30 (17) ◽

pp. 1777-1791 ◽

Author(s):

Serhat Şeker ◽

Erdinç Türkcan ◽

Emine Ayaz ◽

Burak Barutçu

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

High Temperature ◽

Dynamic Monitoring ◽

Operating Parameters ◽

Artificial Neural ◽

Test Reactor ◽

High Temperature Gas

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Application of Artificial Neural Networks for Determining the Temperature and Partial Pressures of the Components of High-Temperature Gaseous Media

2020 7th International Congress on Energy Fluxes and Radiation Effects (EFRE) ◽

10.1109/efre47760.2020.9241969 ◽

2020 ◽

Author(s):

Danila Kashirskii

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

High Temperature ◽

Partial Pressures ◽

Gaseous Media ◽

Artificial Neural

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