WATER LEAKAGE CLASSIFICATION OF EXPRESSWAY OPERATIONA TUNNEL BASED ON BP NEURAL NETWORK

DOI

10.2991/emeit.2012.178How to use a DOI?

Keywords

tunnel engineering, grade evaluation model, BP neural network, leakage tunnel, operational tunnel

Abstract

In this paper, factors influencing the tunnel leakage are analyzed synthetically, based on present situations of water leakage of operational highway tunnel in Chongqing area. Standard of tunnel leakage grade is determined and index system of tunnel leakage model is established by choosing physical geography, surrounding rock, underground water, lining and drainage facilities as the first grade indexes and choosing 12 factors such as vegetation, annual precipitation, and tunnel depth as the second indexes. Xiu-shan tunnel and Zheng-yang tunnel are selected as evaluation model of training sample from 66 operational tunnels in Chongqing area. The results are the consistent in comparing the neural network evaluation and manual evaluation. It is shown that this model has good applicability in grade evaluation of tunnel leakage, and classification of tunnel leakage could be done quickly and accurately.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yulin ZOU
AU  - Chuan HE
AU  - Yi ZHOU
AU  - Chaofan YAO
AU  - Zheng ZHANG
PY  - 2012/09
DA  - 2012/09
TI  - WATER LEAKAGE CLASSIFICATION OF EXPRESSWAY OPERATIONA TUNNEL BASED ON BP NEURAL NETWORK
BT  - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
PB  - Atlantis Press
SP  - 831
EP  - 834
SN  - 1951-6851
UR  - https://doi.org/10.2991/emeit.2012.178
DO  - 10.2991/emeit.2012.178
ID  - ZOU2012/09
ER  -