Karst Development Characteristics in the Eastern Section of the Wuhan Bridge Belt
In order to explore the karst development characteristics and the thickness of karst roof in the eastern section of the bridge belt,the water types and recharge rules of karst fissures were summarized,and a karst classification model considering the grouting amount and filling situation was established.Statistical analysis and K-means cluster analysis were used to study the karst law in the study area.The results show that 44.44％of the caverns with serious leakage,18.52％with slight leakage-leakage,and 37.04％with no leakage,36.54％of the cavern fillers are in the soft plastic state,26.92％are in the flow-plastic-soft-plastic state,19.23％were in the plastic state,and the rest of the state accounted for 17.31％.The grouting volume is negatively correlated with the state coefficient and positively correlated with the cavern height and roof thickness,and the cavern height has the greatest influence on the grouting volume.The logarithmic value of cave height and the number of caves are linear,and the measured value of the probability of the thickness of the roof plate and the thickness of the roof plate meet the cubic function.The unfilled caves account for 12.16％,the semi-filled caves account for 9.46％,and the completely filled caves account for 78.38％.The rate of seeing caves is 25.52％,and the average rate of linear karst is 7.69％.The average cave height is 2.87 m,and the height of 1/3 caves is less than 1.4 m,and 1/2 caves are less than 1.4 m.The average hole height is 2.87 m,1/2 of the hole height is less than 2.2 m,90％of the hole height is less than 5.5 m,the hole is mainly developed vertically,and the grouting volume per unit of hole height is 0.88 m3;the karst fissure water in the study area is of the HCO3-Na-Ca type,and the main recharge of the karst fissure water comes from the pore water;the assessment and classification are carried out by using the K-means clustering algorithm to classify the caves into two categories,and the grouting volume of the first category is 24.50 m3 on average,with the average value of 24.50 m3.The average value of the first category is 24.50 m3,the average value of the state coefficient of the filler is 0.38,and the average value of the height of the cavern is 2.32 m.The average value of the second category is 2.36 m3 of the grouting volume,the average value of the state coefficient of the filler is 0.57,and the average value of the height of the cavern is 5.98 m,and the contour coefficient is 0.84,and the accuracy of the classification model is higher,and this model can be used to interpret the development of the cavern spatially and other situations.
karst geological hazardskarst fissure waterK-meanscorrelationamount of grouting
万方数据
维普
