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Himalayan Geology, Vol. 42 (1), 2021, pp. 117-124, Printed in India

Dynamic optimization risk assessment model and control measures for tunnel collapse and its engineering application

XIAOKUN XIE1,2, SHAOSHUAI SHI2,3*, LIN BU2, LIPING LI2, KEGUO SUN4, HONGLIANG LIU2,3

1School of Civil Engineering, Southeast University, Nanjing, 211189, China

2School of Qilu Transportation, Shandong University, Jinan 250061, China

3Geotechnical and Structural Engineering Research Center, Shandong University, Jinan 250061, China

4Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, P.R. China

*Email (Corresponding author): shishaoshuai@sdu.edu.cn; sunkeg@126.com

Abstract: The occurrence of collapse is common in tunnels (underground engineering) constructed. In order to ensure the safety of tunnel construction, a risk assessment model is constructed based on extension theory and entropy weight theory. Firstly, surrounding rock grade, excavation span, tunnel depth, angle of eccentric compression, rock mass integrity, groundwater status and construction factor are selected as the evaluation indicators of collapse. Secondly, the qualitative indexes are quantified and each index is normalized in the matter-element extension - entropy weight model, entropy weight theory is used to calculate the index weight in order to determine the index weights objectively and reasonably, then the correlation function and correlation degree of tunnel collapse risk are analyzed to determine the risk grade of tunnel collapse. In engineering applications, the matter-element extension-entropy weight model be used to evaluate collapse risk of Fujiachong tunnel, the evaluation results are in good agreement with the actual excavation. Lastly, according to the monitoring data of the tunnel, the horizontal convergence and vault settlement are analyzed, and the deformation and stability state of the surrounding rock of the tunnel is determined by fitting their change curve through mathematical regression method. After that, the paper puts forward additional tunnel control measures, and then determines the effectiveness of the control measures according to the monitoring measurement curve. It provides an effective way for risk assessment and engineering application of tunnel collapse.

Keywords: Tunnel collapse, Matter-element extension - entropy weight model, Risk assessment, Collapse treatment measures, Engineering application

 
 
 
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