E3S Web Conf.
Volume 237, 20213rd International Symposium on Architecture Research Frontiers and Ecological Environment (ARFEE 2020)
|Number of page(s)||4|
|Section||Architecture Science and Civil Engineering|
|Published online||09 February 2021|
Research on displacement prediction of shield tunneling through existing tunnel based on LSSVM
School of Civil Engineering & Mechanics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
2 Wuhan Metro Group Co Ltd, Wuhan, Hubei, 430030, China
3 School of Urban Construction, Wuchang Shouyi University, Wuhan, Hubei, 430074, China
4 School of Civil and Environmental Engineering, Nangyang Technological University, Singapore, 6397898, Singapore
* Corresponding author: email@example.com
The construction scale of the shield tunnel underpass is expanding day by day. In order to study the safety influence and deformation control of the shield tunnel underpass on the existing tunnel, the LSSVM model is established. Based on the collected soil storage pressure, foam volume, simultaneous grouting volume and other six shield construction parameters and corresponding sample data of the tunnel bottom displacement, the horizontal displacement and settlement displacement of the existing tunnel bottom caused by the approach construction are predicted. Taking a subway project as an example, the research results show that the prediction model of shield tunneling under the existing tunnel bottom level and settlement displacement has strong generalization ability and rapid and accurate prediction effect. This method can provide reference for similar projects.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.