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Prediction of Maximum Air Velocities Induced by Metro Trains in Tunnels Using Artificial Neural Networks
Date
2014-09-01
Author
Koc, Gencer
Sert, Cüneyt
Albayrak, Kahraman
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URI
https://hdl.handle.net/11511/77668
Journal
ASME J. of Rail and Rapid Transit
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Prediction of the maximum air velocities created by metro trains using an artificial neural network approach
KOC, Gencer; Sert, Cüneyt; Albayrak, Kahraman (2014-09-01)
The maximum air velocity created by a moving train inside a tunnel is obtained using an artificial neural network approach. A neural network model is developed to represent a single train travelling in a single tunnel. A set of non-dimensional groups, which are known to influence the induced flow characteristics, is used for the training of the neural network. Various test runs are compared with the results of the authoritative software, Subway Environmental Simulation. The presence of ventilation shafts wi...
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G. Koc, C. Sert, and K. Albayrak, “Prediction of Maximum Air Velocities Induced by Metro Trains in Tunnels Using Artificial Neural Networks,”
ASME J. of Rail and Rapid Transit
, pp. 759–767, 2014, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/77668.