A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Railway embankment design based on neural networks
The main requirement in the design of high-speed railway embankments are low values of total differential settlements. The use of cement stabilized layers in embankments, as compared to non-stabilized layers that are now most often in use, is analysed in the paper. Different cement proportions and different water/cement ratios for stabilized layers are considered. It was established that the use of cement stabilized layers in embankments can greatly reduce thickness of individual layers, while also reducing settlement. The research was conducted using the feed forward neural network.
Railway embankment design based on neural networks
The main requirement in the design of high-speed railway embankments are low values of total differential settlements. The use of cement stabilized layers in embankments, as compared to non-stabilized layers that are now most often in use, is analysed in the paper. Different cement proportions and different water/cement ratios for stabilized layers are considered. It was established that the use of cement stabilized layers in embankments can greatly reduce thickness of individual layers, while also reducing settlement. The research was conducted using the feed forward neural network.
Railway embankment design based on neural networks
Gökmen Tayfur (author) / İsfendiyar Egeli (author)
2013
Article (Journal)
Electronic Resource
Unknown
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