Rapid detection method and detection device for detecting diseases in tunnel

Abstract

The invention relates to a rapid detection method and a detection device for detecting diseases in a tunnel. The detection method comprises the steps of: detecting the lining thickness and a back cavity through an acoustic emission and laser vibration measurement technology; detecting the lining strength and compactness through the laser ultrasonic technology; detecting underground water behind the lining by utilizing an infrared temperature detection technology; detecting the degradation degree of surrounding rock behind the lining by using a laser scanning and inversion technology; and determining the position of the disease by using inertial navigation and image registration technologies. The detection device for detecting diseases in the tunnel comprises an acoustic emission and laservibration measurement module, a laser ultrasonic module, an infrared temperature detection module, a surrounding rock parameter inversion module and the like. The device runs once in the tunnel to obtain the disease features such as lining thickness and the cavity at the back of the lining, the underwater, weakening degree, the concrete degree and the compactness of surrounding rock, and comparedwith the existing inspection technology, the rapid detection method and a detection device have the advantages that the detection efficiency and the identification precision are greatly improved, thedisease positioning is more accurate, and the influence on the normal traffic driving is obviously reduced.

Description

technical field [0001] The invention relates to a detection method for internal diseases of operating tunnels, in particular to a rapid detection method and detection device for detecting internal diseases such as tunnel lining thickness, voids behind the lining, groundwater, concrete strength and compactness. Background technique [0002] The internal diseases of the tunnel mainly include: insufficient thickness of the lining, voids behind the lining, rich groundwater behind the lining or weakening of the surrounding rock, insufficient concrete strength, and lack of compactness. Diseases, and even cause disasters such as collapses and water gushes, seriously endangering structural and traffic safety. Therefore, it is very important to carry out the detection of internal defects in the tunnel to grasp the technical status of the structure and ensure the safety of operation. [0003] Among the traditional tunnel disease detection methods, the core drilling method can detect ...

AI Technical Summary

Problems solved by technology

[0017] 1) The accuracy and precision of radar electromagnetic wave detection are greatly affected by the steel bars in the lining and the initial support steel arch, and it is also impossible to judge the lining strength, the size of the groundwater body, and the degree of deterioration of the surrounding rock. Other instruments or technical means are required

In addition, multiple radars and antennas need to be configured for full-section detection, which is expensive

[0018] 2) The contact-type sound wave, ultrasonic or rebound detection method is slow and the instrument is easily damaged. It can only detect the thickness of the lining, the void behind it, and whether it is dense, and cannot detect the deterioration of the surrounding rock behind the lining and the scale of groundwater.

[0019] 3) The existing infrared temperature detection technology is applied to the identification of the surface temperature of the lining and the detection of water leakage on the surface, and it is impossible to analyze the occurrence state of the groundwater behind the lining

[0020] 4) The method of on-site testing of surrounding rock strength during the construction period cannot be used for operating tunnels. CN201910382854.3 uses conventional back analysis methods, which face the problems of local convergence and convergence difficulties, and cannot consider the impact of operating structural diseases. Conventional back analysis The method is only applicable to parameter inversion during the construction period

[0021] 5) The GPS signal in the tunnel is weak or even has no signal. Due to the influence of the tunnel alignment, the cumulative error of inertial navigation is large. This is common sense

Accurate positioning of the disease cannot be achieved only by relying on inertial navigation technologies such as GPS and distance measuring wheels, and the actual positioning error on site is several meters or even tens of meters

This will lead to a significant shift in the positions of the two detected diseases, which will seriously affect the diagnosis of the health status of the tunnel

[0022] To sum up, there is currently a lack of non-contact rapid detection methods and detection devices suitable for reinforced concrete lining thickness and back voids, tunnel groundwater, surrounding rock deterioration, concrete strength, and compactness, especially the lack of a one-time detection. A detection device that simultaneously acquires the above-mentioned disease characteristics

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