Applied Research on Hidden Karst Detection at the Bottom of High-speed Railway Tunnels with Strong Interference Environment
In order to detect the spatial distribution of hidden karst under the influence of strong interference environment in the under-construction high-speed railway tunnels,the seismic image time-frequency integrated analysis technique was adopted to detect the hidden karst at the bottom of the tunnels.The seismic image method was used to acquire the time-domain signals of the geologic body under the tunnel,which were converted to the frequency domain based on the Wegener-Weil distribution algorithm,and then the time-frequency information was used to determine the development area of latent karst and its spatial distribution.The research results are applied to a high-speed railway under construction in Guizhou,and the karst detection results in several tunnels show that the seismic reflection wave travel time in the time domain is 5ms higher than that of the same phase,and at the same time,the frequency of karst area in the frequency domain is reduced to less than 240 Hz,and the time-frequency domain jointly circles the anomalous area of physical prospecting,and karsts are found in all the verification boreholes of the anomalous area.The results show that the method achieves good detection effect in the hidden karst of strong interference tunnel,which can provide a new idea for the fine and fast detection method of hidden karst at the bottom of the tunnel.
high-speed railwayhidden karst at the bottom of tunnelseismic image methodWigner-Wille distribution methodtime-frequency integrated analysis
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