Prediction Model for Deformation Risk Grade of the Soft Rock Tunnel Based on GRA - Extension. Issue 5 (February 2020)

• Record Type: Journal Article
• Authors: Ma, Xinmin; Xue, Yiguo; Bai, Chenghao; Liu, Haiting; Yu, Yuehao
• Is Part Of: IOP conference series. Volume 440:Issue 5(2020)
• Publication Date: 2020-02
• Subjects: Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/440/5/052057
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: The soft rock tunnel is affected by geological factors and construction factors and it is easy to produce large deformation, which leads to cracking and spalling of the primary support, distorting the steel frame, uplifting the tunnel bottom, and cracking of the secondary lining, and has a serious impact on the safety of tunnel construction and operation. In this paper, the surrounding rock strength, rock mass integrity, groundwater condition, tunnel depth, excavation method, support strength and primary support closure time were chosen as the main factors affecting the deformation of soft rock tunnels. According to the actual monitoring and measurement data of the tunnel, the factor weights were calculated using GRA. Extension theory is used to establish the prediction model for the soft rock tunnel deformation risk. According to the comparison between actual deformation and model prediction deformation, the prediction model of tunnel deformation risk grade has high applicable performance in tunnel deformation risk assessment, which provides a reference for construction optimization of soft rock tunnel.