Tunnel surrounding rock block collapse monitoring method and system based on natural vibration frequency
A technology of natural vibration frequency and monitoring system, applied in measuring devices, measuring ultrasonic/sonic/infrasonic waves, instruments, etc., can solve the problems of inability to effectively identify or accurately identify the precursors of the collapse of surrounding rock blocks, time-consuming and labor-intensive costs, etc. Avoid collapse disasters, achieve safe construction, save time and construction costs
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Embodiment 1
[0038] This embodiment discloses a tunnel surrounding rock block collapse monitoring system based on the natural vibration frequency, including a tunnel laser vibration measurement system, a wireless vibration monitoring system and a block collapse disaster prediction system. In the tunnel surrounding rock 3, for tunnel excavation For the exposed dangerous block 1, the natural vibration frequency of the dangerous block is collected by the laser vibration measurement system, and the stable state of the dangerous block is quickly judged, which provides a scientific basis for taking corresponding support measures. Body 2, the natural vibration frequency of the dangerous block is monitored in real time through the wireless vibration monitoring system, and the monitoring data is transmitted to the block collapse disaster prediction system in real time. Collapse monitoring and early warning.
[0039] Predict the collapse risk of the surrounding rock block of the tunnel, specifically...
Embodiment 2
[0056] The purpose of this embodiment is to provide the above-mentioned method for monitoring the collapse of tunnel surrounding rock blocks based on natural vibration frequency, which includes the following steps:
[0057] A. Identify the dangerous surrounding rock blocks exposed in the excavated section according to the preliminary survey and drilling data of the tunnel, the advanced geological forecast data and the face construction data.
[0058] B. For the identified dangerous surrounding rock blocks in the tunnel, spray reflective paint on the blocks, and then set up the host of the laser vibrometer in a place with less vibration and a wide field of vision, and measure the reflective paint through the host of the laser vibrometer data, and then analyze the stable state of dangerous blocks based on data analysis software. For unstable and low-risk blocks, mechanical exclusion can be adopted. For unstable and high-risk blocks, the The dangerous blocks are supported by mean...
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