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隧顶岩溶最小安全厚度预测模型及影响因素分析

Prediction Model of Minimum Safe Thickness of Tunnel Roof Karst and Analysis of Influencing Factors
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摘要 以云南省昆明市绕城高速公路杨林隧道为实际背景,对隐伏型岩溶隧道最小安全厚度的影响因素展开研究,通过Madis/GTS NX建立三维数值模型,以溶洞与隧道之间围岩塑性区是否贯通为判断依据,进行不同条件下溶洞与隧道之间最小安全厚度预测,考虑围岩等级、侧压力系数、溶洞跨度、溶洞高跨比、渗透系数等5种因素对最小安全厚度的影响,采用正交试验的方法对不同影响因素进行数值试验,并对其进行方差分析,再通过多元回归分析法推导出最小安全厚度的预判模型.结果表明:影响最小安全厚度各因素的大小顺序为:溶洞跨度>围岩等级>侧压力系数>溶洞高跨比>渗透系数;采用多元线性回归分析法推导出的预测模型与实际检测结果较为接近,验证了所推导模型的准确性,可作为类似工程的理论依据. Taking Yang Lin Tunnel of Kunming Expressway in Yunnan Province as the actual background, the influence factors of the minimum safety thickness of hidden karst tunnel are studied. A three-dimensional numerical model is established by MADIS/GTS NX, based on whether the plastic zone of the surrounding rock between the cave and the tunnel is through or not, the minimum safe thickness between the cave and the tunnel is predicted under different conditions. The factors considered include the grade of surrounding rock. Five factors, such as lateral pressure coefficient, cavern span, cavern height span ratio and permeability coefficient, were numerically tested by orthogonal test. Then, the prediction model of minimum safe thickness is deduced by multivariate regression analysis. The results show that the order of influencing factors of minimum safe thickness is cavern span > surrounding rock grade > lateral pressure coefficient > cavern height span ratio > permeability coefficient;the prediction model derived by multivariate linear regression analysis is close to the actual test result, which verifies the accuracy of the derived model and can be used as the theoretical basis for similar engineering.
作者 张文剑 ZHANG Wen-jian(China Railway 19th Bureau Group 3rd Co.Ltd.,Shenyang 110136,China)
出处 《兰州工业学院学报》 2020年第4期41-45,共5页 Journal of Lanzhou Institute of Technology
关键词 公路隧道 岩溶 最小安全厚度 多元回归分析 highway tunnel karst minimum safety thickness multivariate regression analysis
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