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jeg 2019, 12(5): 135-158 Back to browse issues page
Prediction of Tunnelling-Induced Surface Settlement with Artificial Neural Networks, Case Study: Mashhad Subway Tunnel
Abstract:   (769 Views)
In urban areas, it is essential to protect the existing adjacent structures and underground facilities from the damage due to tunneling. In order to minimize the risk, a tunnel engineer needs to be able to make reliable prediction of ground deformations induced by tunneling. Numerous investigations have been conducted in recent years to predict the settlement associated with tunneling; the selection of appropriate method depends on the complexity of the problems. This research intends to develop a method based on Artificial Neural Network (ANN) for the prediction of tunnelling-induced surface settlement. Surface settlements above a tunnel due to tunnel construction are predicted with the help of input variables that have direct physical significance. The data used in running the network models have been obtained from line 2 of Mashhad subway tunnel project. In order to predict the tunnelling-induced surface settlement, a Multi-Layer Perceptron (MLP) analysis is used. A three-layer, feed-forward, back-propagation neural network, with a topology of 7-24-1 was found to be optimum. For optimum ANN architecture, the correlation factor and the minimum of Mean Squared Error are 0.963 and 2.41E-04, respectively. The results showed that an appropriately trained neural network could reliably predict tunnelling-induced surface settlement.
Keywords: Surface Settlement, Artificial Neural Network, Mashhad Subway Tunnel, Prediction of Settlement
Full-Text [PDF 709 kb]   (193 Downloads)    
Type of Study: Research Paper | Subject: Geotecnic
Received: 2018/08/18 | Accepted: 2018/08/18 | Published: 2018/08/18
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Prediction of Tunnelling-Induced Surface Settlement with Artificial Neural Networks, Case Study: Mashhad Subway Tunnel . jeg. 2019; 12 (5) :135-158
URL: http://jeg.khu.ac.ir/article-1-2810-en.html


Volume 12, Issue 5 (English article specials 2019) Back to browse issues page
نشریه زمین شناسی مهندسی Journal of Engineering Geology
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