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UDK: UDK 645.141.001.1:519.711

Published: Građevinar 65 (2013) 4
Paper type: Preliminary report
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Railway embankment design based on neural networks

İsfendiyar Egeli, Gökmen Tayfur

Abstract

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.

Keywords
railway embankments, high speed railways, feed forward neural network

HOW TO CITE THIS ARTICLE:

Egeli, İ., Tayfur, G.: Railway embankment design based on neural networks, GRAĐEVINAR, 65 (2013) 4, pp. 319-330, doi: https://doi.org/10.14256/JCE.884.2012

OR:

Egeli, İ., Tayfur, G. (2013). Railway embankment design based on neural networks, GRAĐEVINAR, 65 (4), 319-330, doi: https://doi.org/10.14256/JCE.884.2012

LICENCE:

Creative Commons License
This paper is licensed under a Creative Commons Attribution 4.0 International License.
Authors:
Egeli WEB
İsfendiyar Egeli
Izmir Institute of Technoloqy,
Department of Civil Engineering
TAYFUR Gokmen WEB
Gökmen Tayfur
Izmir Institute of Technoloqy,
Department of Civil Engineering