96 results about "Karst tunnel" patented technology

The invention relates to the technical field of geological risk monitoring and early warning in tunnel construction, in particular to a karst tunnel risk intelligent early warning method, device and equipment based on deep learning, and the method comprises the steps: obtaining multi-source coupling data; performing high-dimensional fusion on the processed multi-source coupling data by using a generative adversarial network, and reconstructing a high-precision three-dimensional model of the detection area; performing geological risk grade classification on the detection area to generate a corresponding risk distribution map; generating a dynamic risk evaluation index, and triggering an early warning signal when the risk level exceeds a preset threshold value; the method comprises the steps of multi-source data acquisition, data preprocessing, high-precision three-dimensional model reconstruction, risk grade classification, dynamic risk monitoring and early warning and the like, and can solve the problems of single risk detection means, insufficient evaluation precision and poor real-time performance in existing karst tunnel construction.

Provided in the present invention is a construction method for a karst tunnel to extend through a karst cave. The construction method comprises the following steps: (1) excavation expansion and support for a karst cave; (2) dredging of the base of the karst cave, and backfilling; (3) inverted-arch and filling construction; (4) water-stop wall construction, and concrete backfilling on two sides; (5) initial support construction; (6) initial-support top backfilling and waterproof-layer construction; (7) secondary-lining waterproofing and drainage construction; (8) mounting and debugging of a water pressure monitoring system; and (9) implementation of a monitoring and early-warning scheme. The construction method is suitable for engineering in unfavorable geological conditions, for example, a water-rich karst tunnel extending through large underground karst caves, karst troughs and underground rivers. In the construction method, the operation difficulty of the steps is relatively low, the construction quality is controllable, there are few construction blind areas, and the safety of construction is relatively high; the initial runoff balance of karst cave underground water can be maintained, and thus the surrounding ecological environment can be protected to the maximum extent.

The invention relates to the technical field of karst tunnel collapse early warning, in particular to a karst tunnel collapse intelligent early warning method, system and equipment based on micro-seismic multi-precursor characteristics. According to the technical scheme, the method comprises the steps of multi-scale micro-seismic monitoring network construction, multi-modal micro-seismic feature processing, quantum neural network early warning model construction and self-adaptive early warning and risk assessment. According to the invention, through omnibearing data acquisition of the multi-scale micro-seismic monitoring network, different depth sensors and an intelligent transmission mode, monitoring is accurate and stable, through combination of multi-modal feature extraction fusion, time domain, frequency domain and waveform multi-dimensional information mining, surrounding rock conditions are accurately judged, early warning analysis is enhanced by using quantum characteristics through the quantum neural network, and the early warning accuracy is improved. And self-adaptive threshold adjustment and multi-factor risk assessment are matched, accurate early warning is achieved, collapse is efficiently prevented, and tunnel construction safety is powerfully guaranteed.

The invention relates to the technical field of tunnel construction, and discloses a coal mine goaf karst tunnel construction method which comprises the following steps: S1, performing three-dimensional scanning on the axis and the periphery of a tunnel by adopting a high-frequency geological radar in combination with aerial survey of an unmanned aerial vehicle, and accurately positioning the boundary of a goaf, the development form of a karst cave and filler distribution; and S2, integrating a seismic wave reflection method, drilling and coring data and a geological sketch result, constructing a three-dimensional geological model, and dynamically predicting a potential water inrush and mud inrush risk area. According to the method, a high-frequency geological radar is combined with aerial survey of an unmanned aerial vehicle, three-dimensional scanning is conducted on the axis and the periphery of a tunnel, geological radar data, a point cloud model and tunnel design BIM are integrated, the boundary of a goaf (the error is smaller than or equal to 0.3 m) and the karst cave form are marked, and the collapse risk level is predicted based on rock mass mechanical parameters (compressive strength and fracture density) and hydrological data (seepage paths). Therefore, the method has the advantages of advanced detection, multi-source data fusion and the like, and the resolution of geological forecast is improved.

The invention relates to the technical field of geological disaster forecasting, in particular to a karst tunnel collapse disaster microearthquake precursor information identification method. According to the technical scheme, the method comprises the steps of constructing a micro-seismic monitoring system fusing multi-source data, carrying out processing and analysis based on machine learning, establishing a multi-factor coupling analysis and early warning model, and carrying out real-time early warning and dynamic feedback. According to the method, noise can be accurately removed through wavelet transformation, key features of the micro-seismic signals can be reserved, the data quality is improved, multi-dimensional features including frequency, amplitude, phase and the like are extracted from the micro-seismic signals, multi-dimensional feature extraction is achieved, and therefore the accuracy of capturing precursor information related to collapse disasters is improved; in addition, comprehensive classification and judgment are carried out by utilizing a machine learning algorithm and combining multiple factors such as geological conditions and construction progress, so that the recognition result is more in line with the actual situation, misjudgment caused by a single factor is avoided, and the recognition accuracy and efficiency are improved.

The invention provides a karst tunneling method and related equipment, and the method comprises the steps: carrying out the information extraction according to the obtained line plane and longitudinal plane data of a target region, the mileage of a current tunnel face, and a geological radar interpretation map, and obtaining the three-dimensional space coordinates of all vertexes on the geometric boundary of a karst region, so as to obtain a longest axis of the center of gravity; rotating the geometric boundary by taking the axis with the longest center of gravity as a rotating axis to form a three-dimensional boundary of the karst area; a three-dimensional karst cave model under the geodetic coordinate system is generated through the three-dimensional space coordinates of the vertexes on the geometric boundary and the three-dimensional boundary of the karst area, karst area treatment measures are subjected to animation production and then imported into a U3d file to be bound with the three-dimensional karst cave model, and a U3d project file is obtained; performing animation display on the U3d project file on the tunnel face of the target area through mixed reality, and performing karst tunneling according to the animation display condition; and the construction safety problem caused by karst collapse and underground water inrush in the tunnel construction tunneling process can be effectively prevented.

The invention discloses a karst tunnel lining quality intelligent detection and image analysis system, and relates to the technical field of image processing and defect identification, the system comprises a multispectral image acquisition module, a lining defect automatic identification engine and a defect quantitative evaluation platform, the multispectral image acquisition module acquires visible light and near infrared images and carries out fusion enhancement; the lining defect automatic recognition engine adopts a double-branch attention feature extraction network to recognize multiple types of defects, the defect quantitative evaluation platform calculates defect geometric features and evaluates severity, full-process automation of detection, recognition, evaluation and decision is achieved, the detection precision reaches the sub-millimeter level, the recognition accuracy exceeds 95%, and the method is suitable for large-scale popularization and application. And the detection efficiency is more than 10 times that of a manual method.

The invention provides a karst tunnel construction transparent intelligent decision-making system, and relates to the field of tunnel construction intellectualization, and the system comprises a dynamic risk analysis and intelligent early-warning module which constructs a dynamic working condition portrait based on karst tunnel construction site information, and uses artificial intelligence and deep learning technologies to obtain a karst tunnel construction transparent intelligent decision-making module; constructing a karst tunnel risk comprehensive evaluation system by combining fuzzy hierarchical evaluation, a user-defined rule engine and expert opinions to calculate a dynamic risk entropy value, predicting a future dynamic risk entropy value by combining a sliding time window mechanism based on a deep learning model and the dynamic working condition portrait, and determining an early warning level according to the risk entropy value; and the intelligent scheduling and decision support module performs scheduling scheme optimization according to the early warning level and the intelligent optimization objective function, continuously monitors the execution condition of the scheduling scheme, and evaluates the execution effect of the scheduling scheme. And the transparency, datamation and intelligent management level of the whole karst tunnel construction process and the early warning capability and response efficiency of sudden geological disasters are improved.

The invention relates to a knowledge-data double-drive karst tunnel construction period water inrush risk assessment method, which comprises the steps of obtaining influence factors of a target karst tunnel water inrush disaster, and constructing a risk assessment index comprehensive layering system; obtaining a comprehensive weight according to the risk evaluation index comprehensive layering system; according to the comprehensive weight and a VIKOR model, constructing a knowledge-driven water inrush risk assessment model; constructing a training sample library according to the knowledge-driven water inrush risk assessment model; a DE-GWO-ELM model is constructed, the DE-GWO-ELM model is trained according to the training sample library, and a knowledge-data dual-drive DE-GWO-ELM model is obtained; and inputting to-be-evaluated monitoring data into the DE-GWO-ELM model, and outputting a water burst risk value. According to the invention, the method can effectively and accurately achieve the risk assessment of the water inrush, and is higher in real-time performance and interpretability.

The invention relates to the technical field of tunnel engineering disease treatment, in particular to a construction method of a drainage system for karst tunnel inverted arch upheaval disease treatment, which comprises the following construction steps: S1, arranging settlement monitoring points in a disease section tunnel, and arranging a reinforcing structure in a lining arch foot area; and S2, the existing disease inverted arch is broken and removed section by section according to the preset length, and temporary supporting is carried out in time. And S3, an overhaul window is dug in the lining through a water mill drill, and a supporting structure is synchronously installed. And S4, a foundation trench is excavated in the bottom of the inverted arch, a concrete strip-shaped foundation is poured to serve as a foundation of the steel corrugated pipe arch culvert, the steel corrugated pipe arch culvert is installed, the axis of the steel corrugated pipe arch culvert is consistent with the karst cave water flow direction, and the steel corrugated pipe arch culvert is in sealed butt joint with the confluence overhaul groove. And S5, a drainage pipe is pre-buried in the inverted arch reconstruction section, the confluence overhaul groove and the central drainage ditch are connected, and finally concrete is poured to seal the inverted arch structure. The method effectively solves the problem of upheaval of the inverted arch caused by water burst of the deeply-buried karst cave, reduces the damage of the lining structure, and improves the long-term stability of the tunnel.

The present invention discloses a hydrodynamic-chemical crystallization coupling numerical simulation method and system based on level set, which is used to simulate the karst water crystallization blockage process of tunnel drainage pipes in karst areas. The model can break through the numerical quantification method of the limitations of empirical formula parameters and the traditional DBL theoretical model that only considers the limitations of homogeneous flow systems, and attempts to establish a multi-field coupled hydrodynamic-chemical reaction coupling model to simulate the crystallization blockage process of karst tunnel drainage pipes. The method provided by the present invention includes: constructing a drainage pipe karst water crystallization blockage model that considers the coupling of pipeline hydrodynamic field, concentration field and chemical reaction field, while considering the process of drainage pipe crystallization blockage under the combined action of temperature, ion concentration and flow rate, characterizing the moving boundary displacement based on the level set method, and then carrying out the numerical simulation of crystallization blockage of karst tunnel drainage pipes. The simulation technology provided by the present invention can provide technical support for early identification and safety evaluation of karst tunnel blockage.

The invention discloses a high-water-pressure karst tunnel supporting structure and a construction method thereof, and relates to the technical field of tunnel supporting. The supporting structure comprises a primary supporting outer layer which is arranged on a rock wall on the surface of a wall body after tunnel excavation; the waterproof layer is arranged on the inner side of the initial-stage shotcrete-anchor support outer layer; the stress transfer layer is arranged on the inner side of the waterproof layer and comprises a first steel arch frame and a second steel arch frame, a plurality of supporting mechanisms and stress transfer mechanisms are arranged between the first steel arch frame and the second steel arch frame at intervals, and the supporting mechanisms and the stress transfer mechanisms are evenly distributed in the circumferential direction of the tunnel surrounding rock; the supporting structure has excellent waterproof performance and efficient stress coping capacity and can better adapt to dynamic deformation of surrounding rock.

According to the advanced drilling-based complex terrain karst tunnel disaster identification method and system provided by the invention, the target karst tunnel risk level is determined by integrating geological conditions, hydrological conditions and structural mechanical response, and then the target karst tunnel advanced prediction detection scheme is determined, so that the target karst tunnel disaster identification method and system can be realized according to the target karst tunnel risk condition. An advanced forecasting detection scheme is reasonably selected; according to the method, dynamic weights of different advanced prediction and detection methods are determined based on matching degrees of different advanced prediction and detection methods for target karst tunnel types, historical accuracy rates and quality of target karst tunnel related data currently acquired by the advanced prediction and detection methods, so that the more accurate advanced prediction and detection methods can be effectively utilized; and the subsequent identification accuracy is improved.

The invention belongs to the technical field of karst tunnel drainage, and discloses a karst tunnel seasonal drainage method and system based on artificial intelligence. The method comprises the following steps: constructing a karst tunnel seasonal drainage system by using an Internet of Things communication technology; based on a karst tunnel seasonal drainage system, constructing a season and groundwater trend prediction model and a drainage control strategy generation model; according to the collected real-time monitoring data, using a season and groundwater trend prediction model to perform season and groundwater trend prediction; generating a drainage control strategy by using a drainage control strategy generation model according to a real-time season and groundwater trend prediction result; and based on the karst tunnel seasonal drainage system, according to the real-time drainage control strategy, karst tunnel seasonal drainage is conducted, and real-time monitoring data collection continues to be conducted. According to the invention, the problems of dependence on artificial experience, lack of real-time performance, limited data processing capability and lack of intelligence in the prior art are solved.

The present invention discloses an anti-siltation and anti-impact water-dividing structure for the intersection of a karst tunnel and an underground river. The structure utilizes an upstream water-dividing weir, a downstream force-dissipating weir, a porous box culvert-type V-shaped inverted siphon water pipe and an open overflow channel, so that the karst tunnel structure divides the underground river intersecting therewith into upper and lower water-passing sections; the lower water-passing section is a porous box culvert-type V-shaped inverted siphon water pipe, and the upper water-passing section is an open overflow channel. The water-dividing structure of the present invention diverts the underground river through the karst tunnel according to the dry season and the flood season. The buried depth of the V-shaped inverted siphon hole water pipe is shallow, and there is no need to adjust the water flow gradient of the underground river. In addition, the V-shaped inverted siphon hole water pipe solves the problem of siltation on the upstream side of the lining structure of the upstream karst tunnel. At the same time, the water-dividing weir reduces the impact load of the water flow on the lining structure during the flood season, so that the upper and lower diverted water loads achieve a certain degree of balance.

This invention belongs to the field of tunnel construction technology. It discloses a karst tunnel surrounding rock reinforcement device and method, comprising at least one set of outer support members. The outer walls of the outer support members are fixed to the tunnel roof surrounding rock, and the inner walls of the two outer support members are fixed to the two ends of a top support plate. An inner support member is disposed on the inner wall of the top support plate and located at the connection point of two adjacent top support plates. The inner support member passes through the top support plate and the outer support members and is fixed to the tunnel roof surrounding rock. A side wall reinforcement component includes support piles and side support plates. The side walls of the side support plates, the ends of the inner support members, and the ends of the outer support members are all cast and fixed within the support piles. The outer support member is an outer arc-shaped rib. Several first anchor rods are fixedly installed on the top support plate, with the ends of the first anchor rods penetrating the outer arc-shaped ribs and extending into the tunnel roof surrounding rock. The ends of second anchor rods penetrate the inner arc-shaped ribs, the top support plate, and the outer arc-shaped ribs, extending into the tunnel roof surrounding rock. This invention simplifies construction and improves tunnel construction efficiency while ensuring support effectiveness.

The invention provides a karst tunnel cavity self-adaptive filling method and system, and relates to the field of tunnel construction intellectualization. Constructing a three-dimensional geologic model of the karst tunnel cavity; according to the cavity filler performance demand matrix, the cavity geometrical morphology, the geological condition, the tunnel structure load condition and the engineering demand, a dynamic mapping relation model between the foam light soil performance parameters and the raw material proportion under the multi-target constraint is established, and a foam light soil proportion scheme is calculated according to the dynamic mapping relation model; a cavity grouting filling scheme is generated according to different working condition requirements, so that a grouting hole site sequence, a diffusion radius, a grouting path, a filling mode, a flow parameter, a pressure parameter and a vibration parameter are dynamically optimized, regulated and controlled on a construction site according to the cavity grouting filling scheme. The intelligent degree, the reliability, the economical efficiency and the environmental protection level of karst tunnel cavity treatment are remarkably improved.

The invention relates to the technical field of tunnel construction, and discloses waterproof plate laying trolley equipment for a karst tunnel, which comprises a cloth hanging trolley, telescopic arms are rotatably connected to the front side and the rear side of the cloth hanging trolley, and arched telescopic frames are fixedly mounted at the right ends of the two telescopic arms; and a fixed shaft is fixedly installed between the right ends of the two sets of arched telescopic frames, the outer side of the middle of the fixed shaft is rotationally connected with a pressing roller, and the outer sides of the two ends of the fixed shaft are sleeved with side edge extrusion assemblies. A sliding arm slides into a square sleeve, a piston cylinder moves towards a sliding piston, the space of a left cavity in the piston cylinder is enlarged, and part of hydraulic oil in an oil storage cavity is sucked into the piston cylinder; the sealing disc moves rightwards and is separated from the blocking ring, so that the rotating pipe can move leftwards and rightwards relative to the pressing roller; and when the pressing roller moves to the protruding position of the inner wall of the tunnel, the rotating pipe can keep the state of pressing the waterproof plate under the elastic effect of the second spring, and therefore the purpose that it is guaranteed that the edges of the two sides of the waterproof plate are tightly attached to the inner wall of the tunnel is achieved.

The application discloses a karst tunnel lining quality intelligent detection and image analysis system, relates to the technical field of image processing and defect identification, and comprises a multispectral image acquisition module, a lining defect automatic identification engine and a defect quantitative evaluation platform.The multispectral image acquisition module acquires visible light and near-infrared images and performs fusion enhancement, the lining defect automatic identification engine adopts a double-branch attention feature extraction network to identify multiple types of defects, and the defect quantitative evaluation platform calculates defect geometric features and evaluates the severity, so that the whole process of detection, identification and evaluation decision is automatically realized.The detection precision of the application reaches a sub-millimeter level, the identification accuracy is more than 95%, and the detection efficiency is more than 10 times that of the artificial method.

The application provides a high-position water discharge branch hole setting height determination method and a monitoring point water pressure analysis method, and the high-position water discharge branch hole setting height determination method comprises the following steps: S1, determining that the most important factor affecting the tunnel operation safety in a karst area is the seepage water pressure finally acting on the lining; S2, determining the influencing factors of the seepage water pressure finally acting on the lining; the influencing factors comprise an initial seepage water pressure of a solution cavity, a reduction of the seepage water pressure by surrounding rock and a drainage condition of a water discharge hole; and S3, designing the high-position water discharge branch hole height according to the influencing factors in a water-rich filled solution cavity. The application can effectively solve the drainage problem of a solution cavity not yet found in a karst area or a drainage channel formed again in the later period, ensures the operation safety, speeds up the tunnel construction progress, can safely and quickly pass through a high-pressure water-rich solution cavity in the karst tunnel construction, and avoids the risk of water and mud inrush.

The invention provides a karst tunnel excavation support pressure reliability design method based on threshold gradient. According to the method, aiming at three random variables in an HB constitutive model, firstly, center composite sampling is carried out in a standard normal space to obtain seven test points, coordinates of the test points are converted into an original parameter space, a failure threshold value of each test point is obtained through calculation by establishing a numerical model, then a secondary response surface agent model without cross terms is established, and the failure threshold value of each test point is calculated. And establishing a tunnel face support force dominant threshold function by solving a linear equation set and determining seven coefficients of the proxy model, on this basis, proposing a standard normal space target reliability isoline checking point iteration method, performing checking point iteration on a sphere with the radius being the target reliability, and updating checking points in a gradient manner by adopting the threshold function. And calculating the collapse load of the design point during iterative convergence, so that the collapse load meets the requirement of a target reliable index. According to the method, the design complexity is reduced, and the design efficiency is improved.

The invention provides a small-section karst tunnel long-distance pipe jacking construction method based on a depth Q network, and relates to the technical field of pipe jacking construction. Comprising the following steps: collecting pipe jacking data in a pipe jacking construction process in real time; the pipe jacking data are preprocessed, and construction state features are constructed; constructing a deep Q network according to the construction state features to construct a construction decision model, and changing hard update of a target network in the deep Q network into soft update by using a target network soft update algorithm to obtain a preliminary training model; inputting the preprocessed pipe jacking data into the preliminary training model to obtain an optimal construction parameter decision; and collecting construction feedback data of the optimal construction parameter decision application, updating construction state characteristics, and driving the model to dynamically adjust the decision strategy. According to the method, the deep Q network is optimized by using the target network soft update algorithm, and the deep Q network construction decision model is constructed according to the construction state characteristics, so that the construction efficiency is improved, and the negative influence on the surrounding environment is reduced.

The utility model discloses a water collecting well circulating water dust fall device for karst tunnel engineering, including water suction device, water collecting well and fixed together's mobile water tank and sewage collection tank, and water suction device, water collecting well and mobile water tank are communicated in proper order through water pipe, and water pump A is installed to the water inlet of water pipe, and the below and the top of water suction device are all installed with propeller A and drive motor, and the vertically installed telescopic stainless steel bellows of mobile water tank, one end of telescopic stainless steel bellows is located inside mobile water tank, and water pump B is installed to the port, and the other end is located outside mobile water tank, and the port is installed with the shower nozzle, and the periphery of shower nozzle is installed with the fender, and the adjacent fender side fixed connection, and the water inlet of sewage collection tank is located inside fender, and the water outlet of sewage collection tank and water collecting well water inlet are communicated through the backwater pipe. The utility model is used in karst tunnel engineering, not only solves the problem of water accumulation in the cave, but also improves the dust fall efficiency and improves the construction environment.

The present invention provides a method for constructing a refined random fractured cave tunnel numerical model, including establishing a tunnel and stratum model according to the scope of the project, the distribution of the stratum, and the size of the tunnel; generating random numbers using the Monte Carlo method, establishing a discrete fracture network DFN template according to the fracture distribution characteristics and the probability density distribution function, cutting the tunnel and stratum model and converting it into a bonded block model; generating random numbers using the Monte Carlo method, determining the position and radius of the cave according to the cave distribution characteristics and establishing a random ball model, importing the random ball model into the bonded block model for cutting, and generating a random fractured cave model based on the difference set of Boolean operations. In the modeling process, the present invention comprehensively considers the distribution of fractures and caves in the surrounding rocks of the karst tunnel during the construction process, better simulates and analyzes the engineering mechanical behavior and stability in the karst stratum in the tunnel, thereby improving the safety and reliability of tunnel excavation construction.

The invention belongs to the technical field of tunnel engineering monitoring equipment, and particularly relates to a water inflow monitoring device and method for a karst tunnel. The device comprises a base, the inner side of the base is fixedly connected with a shell, the bottom face of the inner side of the shell is provided with a coarse filter screen, the inner side of the shell is provided with an adjustable cleaning structure, and the top end of the shell is provided with a first electric control valve; a water inflow monitoring and alarming structure is arranged on one side of the shell, the lower portion of the water inflow monitoring and alarming structure communicates with the shell through a self-cleaning transmission channel, and a second electric control valve is arranged between the self-cleaning transmission channel and the water inflow monitoring and alarming structure; a water level monitoring head is arranged on the inner side of the shell, and the height of the water level monitoring head is flush with the bottom end of the second electric control valve; a controller and an alarm are fixedly connected to the top face of the shell. By means of the structure, the water inflow monitoring device for the karst tunnel can well achieve self-cleaning, avoids blocking, and meanwhile can detect the water inflow in real time and give an alarm.

The invention discloses a karst area shield tunnel face outburst prevention rock mass safety thickness prediction method, and belongs to the field of karst tunnel outburst prevention rock mass thickness predication.The method comprises the steps that environmental parameters in an area where tunnel engineering is located are collected, an orthogonal test table is established according to the environmental parameters, and according to the environmental parameters and the orthogonal test table, an outburst prevention rock mass safety thickness prediction method is established. Performing numerical simulation by using discrete element software 3DEC to obtain a plurality of working condition combined data; fitting a random forest model and a multiple linear regression equation which are used for predicting the safety thickness of the outburst prevention rock mass according to the combined data of each working condition; predicting a to-be-measured working condition by using the random forest model and the multiple linear regression equation to obtain a first prediction result and a second prediction result; and determining a final prediction result of the safety thickness of the outburst prevention rock mass according to the first prediction result and the second prediction result. The technical problems that an existing outburst prevention rock mass safety thickness prediction analysis result is low in accuracy and large in error are solved.

The present invention discloses a construction method for the solution cavity section of a long and water-rich karst tunnel, which is divided into two cases: the treatment of large karst collapse cavities at the vault and the treatment of karst pipeline water. For the treatment of large karst collapse cavities at the vault, it includes the following steps: A1, advanced geological prediction; A2, advanced support for large karst collapse cavities; A3, excavation and support of the tunnel body. For the treatment of karst pipeline water at the vault, arch waist or side wall, it includes the following steps: B1, conduct observations for one quarter. If there is no water in the karst pipeline, use pumped concrete to seal the dry karst cave at this place; B2, then it is further divided into the water gushing from the karst pipeline on the left side of the tunnel and the water gushing from the karst pipeline on the right side of the tunnel, with different drainage structures. It can quickly carry out the treatment of solution cavities and water disasters, ensuring fast and efficient excavation and safe and reliable operation in the later stage.

A karst tunnel construction period water gushing well flooding accident treatment method, comprising the following steps, 1) predicting the maximum water inflow of the well flooding section; 2) setting the reserved safety rock disc thickness according to the overall stability of the surrounding rock; 3) forming upper, middle and lower three steps according to the step design parameters; 4) according to the design parameters of the advanced drill hole, the advanced drill hole drainage is made in the middle step; 5) reinforcing the reserved safety rock disc; 6) when the well flooding water level drops to the middle step drainage hole, the upper step of the tunnel is excavated; 7) after the upper step is completely penetrated, the well flooding water body of the tunnel is directly pumped out. The karst tunnel construction period water gushing well flooding accident treatment method can maintain the overall stability of the safety rock disc surrounding rock, efficiently pump out the water of the karst tunnel construction period water gushing well flooding, restore the site construction as soon as possible, and ensure the construction safety.

The application discloses a kind of ventilation parameter processing method and system for the whole world water-rich karst tunnel small section multi-shaft, comprising the following steps: determining small section shaft clearance diameter D And single well ventilation capacity, and determine the upper limit of main hole design wind speed to obtain the maximum wind capacity of main hole;Select control need air volume index, calculate the air volume and establish relative index, determine the critical distance L 1 when relative index reaches limit value L First exhaust shaft is arranged near L 1 And downstream air supply shaft constitutes "one exhaust one supply" ventilation unit, according to different section relative index check and iterative arrangement of multiple groups of shafts form shaft group, so that downstream available air volume meets the next partition air volume.The application replaces the traditional large-diameter ventilation shaft by adopting small-section shaft group suitable for mechanized construction, which can reduce the construction risk of shaft in the whole water-rich karst section, reduce the exposure of underground personnel, and improve the engineering applicability and construction safety.

The invention discloses a grouting model test system and method under karst tunnel water-rock interaction, and belongs to the field of grouting construction simulation.The system comprises a test workbench, an extension supporting frame is arranged on one side of the test workbench, a rotating support is rotationally arranged in a lifting frame on one side of the extension supporting frame, and a mold frame is arranged at the top of the rotating support; a grouting groove body is formed in a karst module in the mold frame, and solidified slurry can be taken out along with splitting of the module; the first driving assembly drives the lifting frame to enable the mold frame to be immersed in water to detect the sealing performance; the grouting pump conveys slurry in the slurry storage barrel to the grouting groove body, and the booster water pump forms water circulation through the drainage pipeline to simulate karst seepage; the second driving assembly drives the mold frame to rotate to change the grouting flow direction; the system can simulate the grouting and water-rock action under different working conditions to solve the problems that when a traditional grouting model test device is used for rock mass simulation, module installation is tedious, solidified slurry is difficult to take out, angle adjustment is limited, and the grouting simulation effect is poor.