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Optimization of anchorage support parameters for soft rock tunnel based on displacement control theory

Journal of Mountain Science 2023年第7期20卷 2076-2092页

作者： LI Gan MA Wei-bin YU Chang-yi TAO Zhi-gang WANG Feng-nian School of Civil&Environmental Engineering and Geography Science Rock mechanics Research InstituteNingbo UniversityNingbo 315000China Railway Engineering Research Institute China Academy of Railway Sciences Corporation LimitedBeijing 100081China CCCC First Harbor Engineering Company Co.Ltd.Tianjin 300461 CCCC-Tianjin Port Engineering Institute Co.Ltd.Tianjin 300222 State Key Laboratory for Geomechanics&Deep Underground Engineering Beijing 100083China Shanxi Transportation Technology Research and Development Co. LTDTaiyuan 030032China

In the construction of a soft rock tunnel,it is critical to accurately estimate the pre-stressed anchor support parameters for surrounding rock reinforcement;otherwise,engineering disasters may *** paper presents a support parameter selection method that aims to allow deformation as a control objective,which was applied to the tunnel located in Muzailing Highway,Min County,Dingxi City,Gansu Province,*** theoretical analysis,we have identified five factors that influence pre-stressing *** selection of mechanical parameters for the rock mass was carried out using an inverse analysis *** with the measured data,the maximum displacement error of the numerical simulation results was only 0.07 *** length of anchor cable,circumferential spacing of anchor cable,longitudinal spacing,and pre-stress index are adopted as the input parameters for the support vector machine neural network model based on particle swarm optimization(PSO-LSSVM).Besides,the vault subsidence and the maximum deformation of surrounding rock are considered as output values(performance indices).The goodness of fit between the predicted values and the simulated values exceeds ***,all support parameters within the acceptable deformation range are *** optimal support variables are derived by considering the construction cost and *** field application results show that it is feasible to construct the sample database utilizing the numerical simulation approach by taking the displacement as the control target and using the neural network to specify the appropriate support parameters.

关键词： displacement control theory Anchorage support parameters Numerical simulation PSOLSSVM Tunnel construction

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