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Optimization of anchorage support parameters for soft rock tunnel based on displacement control theory
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作者 LI Gan MA Wei-bin +2 位作者 YU Chang-yi TAO Zhi-gang WANG Feng-nian 《Journal of Mountain Science》 SCIE CSCD 2023年第7期2076-2092,共17页
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 occur.This paper presen... 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 occur.This 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,China.Through theoretical analysis,we have identified five factors that influence pre-stressing anchorages.The selection of mechanical parameters for the rock mass was carried out using an inverse analysis method.Compared with the measured data,the maximum displacement error of the numerical simulation results was only 0.07 m.The 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 0.9.Finally,all support parameters within the acceptable deformation range are calculated.The optimal support variables are derived by considering the construction cost and duration.The 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. 展开更多
关键词 Displacement control theory Anchorage support parameters Numerical simulation psolssvm Tunnel construction
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基于小波阈值降噪的PSO-LSSVM的混凝土坝变形组合模型
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作者 万凯 《工程技术研究》 2022年第22期5-7,共3页
文章针对已知的PSO-LSSVM监测模型泛化能力低,使得模型预测精度下降的问题,提出了小波阈值降噪的PSO-LSSVM的混凝土坝变形组合模型。此方法是将小波降噪理论和PSO-LSSVM算法结合起来创建的预测精度较高的大坝位移预测组合模型。该模型... 文章针对已知的PSO-LSSVM监测模型泛化能力低,使得模型预测精度下降的问题,提出了小波阈值降噪的PSO-LSSVM的混凝土坝变形组合模型。此方法是将小波降噪理论和PSO-LSSVM算法结合起来创建的预测精度较高的大坝位移预测组合模型。该模型先是将大坝位移数据进行一遍小波阈值降噪预处理,然后将降噪后的位移数据经过PSO-LSSVM算法进行训练,得到了小波阈值降噪的PSO-LSSVM的混凝土坝变形组合模型。通过某重力坝进行实例验证,证明该监控模型能够准确预测出大坝的位移偏移量,在大坝安全监控方面具有很高的应用价值。 展开更多
关键词 小波阈值 泛化能力 PSO-LSSVM 模型预测
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