712 results about "Rock tunnel" patented technology

The invention discloses a real-time surrounding rock deformation monitoring and data acquisition method and system, which is applied to long-distance weak surrounding rock tunnel construction, and comprises the following steps: determining the dynamic change trend of underground water seepage rate and ground stress distribution gradient by adopting a time sequence analysis method; based on the trend, carrying out risk partitioning on the tunnel construction section by adopting a K-means clustering algorithm, determining a deformation sensitive area, and optimizing the spatial distribution of the monitoring points according to the deformation sensitive area; monitoring data are acquired in real time, and when the data fluctuation period exceeds a threshold value, the data acquisition frequency of the corresponding monitoring point is automatically improved; processing high-frequency acquired data by adopting a long-short-term memory network to obtain a real-time surrounding rock deformation prediction result; the prediction result and the multi-source real-time geological parameters are fused, a Bayesian updating method is adopted for processing, a quantitative surrounding rock stability evaluation result is obtained, closed-loop self-adaptive optimization of a monitoring scheme and accurate risk prediction are achieved, and the safety early warning capacity of tunnel construction and the utilization efficiency of monitoring resources are remarkably improved.

The invention discloses a rock tunnel intelligent supporting system and method adaptive to geological conditions, and relates to the technical field of tunnel construction automation and intellectualization. The system comprises an intelligent advanced geological forecast module, an intelligent surrounding rock quality evaluation system, a self-adaptive support design optimization module, an intelligent construction equipment monitoring system, an environment monitoring module, a safety early warning system, a construction data analysis and decision support system, a material supply chain management module, a personnel positioning and management system and an integrated control system. Through real-time monitoring and analysis of the intelligent advanced geological forecast module and the safety early warning system, potential geological risks and safety threats in the tunnel construction process can be found in time. And through an adaptive support design optimization algorithm, support parameters and a construction scheme can be dynamically adjusted according to real-time geological data and a surrounding rock quality evaluation result. The integrated control system serves as the core of the whole intelligent supporting system, and unified management and coordination of all the sub-modules are achieved.

An asymmetric high stress tunnel rock burst micro-seismic sensor arrangement method, relating to the technical field of tunnel engineering. On the basis of tunnel surrounding rock geological data, three-dimensional numerical simulation is carried out for asymmetric high stress tunnel stability on the basis of asymmetric in-situ rock geo-stress distribution and tunnel section geometric characteristics, and asymmetric high stress tunnel energy is calculated; the location of a rock burst risk area is determined; micro-seismic sensors are arranged in front of and behind a stress concentration area; the area at a high risk and nearby areas thereof are always incorporated in two micro-seismic sensor arrays arranged in front of and behind a tunnel face. The micro-seismic sensors work cooperatively and are staggered in space, the mounting and arrangement of the micro-seismic sensors changes forwards and backwards along with the stress concentration area, and the micro-seismic sensors always keep a certain distance range with the stress area. The tunnel stress concentration area and more nearby effective micro-crack source signals can be captured by the micro-seismic sensors, thereby improving the precision of locating a micro-seismic source and laying a foundation for accurate prediction and forecast of deep-buried hard rock tunnel disasters.

The invention provides a soft rock tunnel surrounding rock parameter dynamic identification method and system based on data driving, and relates to the technical field of underground tunnel mechanical parameter dynamic identification, and the method comprises the steps: obtaining multi-element tunnel surrounding rock parameters, and building a joint probability distribution model of the multi-element surrounding rock parameters based on a Copula theory; performing Monte Carlo simulation, and generating a high-dimensional parameter sample library meeting physical constraints in the parameter constraint space based on the joint probability distribution model; establishing a tunnel three-dimensional numerical model and performing automatic numerical simulation to generate multivariate response data; constructing a Kriging agent model of a Gaussian kernel function based on multivariate response data training, establishing a nonlinear mapping relation between parameter input and deformation output, constructing an inversion objective function by taking the minimum root-mean-square error of multi-measurement-point displacement as an objective, and performing inversion solution by using an adaptive particle swarm optimization algorithm to obtain inversion identification parameters, and a dynamic feedback mechanism is constructed to realize adaptive tracking of the time-varying characteristics of the surrounding rock parameters.

The invention relates to the field of tunnel engineering geology and support design, and discloses a weak surrounding rock tunnel deformation risk discrimination method based on shear expansion-shear constitutive, which comprises the following steps: constructing a nonlinear coupling model between a shear expansion angle and shear stress, normal stress and joint parameters, and obtaining the shear expansion angle; establishing a volumetric strain rate discrimination formula; inverting an initial crustal stress tensor field; reconstructing an irregular tunnel boundary; constructing a risk level discrimination model, and outputting a risk level; supporting schemes such as supporting rigidity, anchor rod parameters and spraying layer thickness are matched according to the risk grades; establishing a model to predict a risk trend; a support adjustment suggestion is generated; collecting monitoring data to dynamically correct model parameters; and all the modules are integrated in a deployment system. According to the method, the coupling relation between the shear expansion angle and the shear strength is introduced, the coupling type constitutive discrimination model is established, the risk grading system and the support correction strategy associated with the support response are constructed, and active early warning of the high-risk section and dynamic adjustment of the support rigidity are achieved.

The invention discloses a surrounding rock dynamic response calculation and evaluation method under hard rock tunnel blasting excavation. The calculation method comprises the following steps: S1, obtaining tunnel design data and geological section information; s2, acquiring physical and mechanical parameters; s3, blasting parameters are obtained; s4, constructing a three-dimensional hard rock tunnel blasting excavation grid model according to the tunnel design data and the geological section information obtained in the step S1; s5, importing the three-dimensional tunnel blasting excavation grid model, blasting parameters and physical and mechanical parameters into finite difference software; s6, analyzing and calculating the three-dimensional tunnel blasting excavation grid model through a dynamic calculation module built in finite difference software to obtain surrounding rock dynamic response data under blasting excavation; and S7, comparing and analyzing the dynamic response data of the surrounding rock under blasting excavation with a safety evaluation threshold value. According to the method, the comprehensiveness and the accuracy of tunnel surrounding rock dynamic response evaluation under blasting excavation are improved aiming at the defects of an existing method and actual application requirements.

The invention provides a deep-buried soft rock tunnel supporting structure design method based on energy regulation and control, and belongs to the technical field of tunnel engineering. Comprising the following steps: obtaining components of crustal stress in a large principal stress direction, a middle principal stress direction and a small principal stress direction; manufacturing a rock cylinder test piece and a cube test piece; carrying out a conventional uniaxial compression test on the cylindrical test piece to obtain basic strength parameters of the surrounding rock; carrying out a true triaxial loading and unloading test on the cubic test piece to obtain the ultimate dissipated energy of the surrounding rock; drawing up a tunnel anchor rod supporting structure design scheme; establishing a deep-buried soft rock tunnel calculation model considering the synergistic effect of the surrounding rock and the anchor rod, and calculating the dissipated energy density of the surrounding rock and the absorbed energy of the supporting structure; the instability energy judgment basis of the surrounding rock and the instability energy judgment basis of the anchor rod are calculated; and judging the stability of the surrounding rock and the stability of the anchor rod. The method is suitable for the tunnel in a deep high-energy geological environment, and can reflect the energy driving essence of the instability failure of the high-ground-stress deeply-buried soft rock tunnel.

The invention belongs to the technical field of underground gas storage, and particularly relates to a long-term efficient hydrogen storage composite lining structure for an underground rock cavern and a preparation method of the long-term efficient hydrogen storage composite lining structure. The long-term efficient hydrogen storage composite lining structure for the underground rock cavern comprises surrounding rock and an internal composite structure of the surrounding rock. The surrounding rock reinforcing layer is formed by pressure pre-grouting in surrounding rock and can resist tensile stress transmitted to the surrounding rock by internal air pressure and enhance air tightness; the permeable layer is arranged on the inner side of the surrounding rock reinforcing layer and can discharge underground water to prevent hydrostatic pressure from causing extrusion deformation damage to the concrete bearing layer during construction and causing instability of the sealing steel lining; the reinforced concrete bearing layer is arranged on the inner side of the permeable layer and the outer side of the slip layer, and micro self-healing capsules capable of repairing cracks and enhancing sealing performance are evenly added in the injection molding process; the anti-drag sliding layer is arranged between the steel lining and the bearing layer and inhibits shear damage of the sealing steel lining to the bearing layer under high internal pressure; the steel lining sealing layer is arranged on the inner side of the sliding layer to bear part of gas load and seal gas.

The invention discloses a weak surrounding rock tunnel peripheral hole empty hole guide back break control blasting construction method. The method comprises the steps that the surrounding rock grade and the blasting circulation footage are determined; designing tunnel peripheral hole hollow guide drilling blasting parameters, and determining peripheral hole pitch and explosive load; performing drilling operation; after drilling of the rock drilling equipment is completed, hole-separated charging is carried out on the peripheral holes, and the distance L between the charging peripheral holes and the non-charging empty holes is preliminarily calculated by analyzing the stress state, the impact pressure and the failure criterion of rock; according to the distance L, non-charging empty holes are formed between the charging peripheral holes; after safety alert is ensured, blasting is carried out; the steps are repeated until the tunnel blasting back break value reaches the expected standard, the optimal tunnel peripheral hole hollow guide drilling blasting parameters can be determined, and construction is conducted according to the optimal parameters; over-excavation and under-excavation can be effectively controlled, the situations of block falling of weak surrounding rock and the like are effectively reduced, and the safety and working efficiency of follow-up construction operation are improved.

The invention relates to a water-rich soft rock tunnel close-range undercrossing adit controlled blasting structure and a construction method thereof, and the construction method comprises the steps of existing line assembly type temporary supporting, full-section primary drilling, lower section underholing area blasting, upper section blasting, steel arch frame installation, temporary supporting and the like, and the existing line assembly type temporary supporting adopts the assembly type temporary supporting to reinforce the adit; a movable excavation rack is adopted for full-section primary drilling for full-section drilling, the movable excavation rack is provided with a telescopic construction platform and adapts to tunnel faces with different widths, a rope saw slotting machine is adopted for slotting in a lower section slotting area for manufacturing a free face, a low-layer movable excavation rack is adopted for charging and then blasting in an upper section blasting process, and the movable excavation rack is provided with a telescopic construction platform and adapts to tunnel faces with different widths. The steel arch frame is finely adjusted and positioned through an adjustable supporting column, the steel arch frame is accurately installed, and a temporary support adopts a temporary support and a temporary inverted arch to form a stable system. The method has the advantages that the construction efficiency is high, the supporting effect is good, the existing line is stable, and the steel arch is not prone to deformation.

The invention provides a big data intelligent type selection design method for a rock burst roadway anti-impact hydraulic support, and relates to the technical field of big data.The method comprises the steps that firstly, data about geological conditions, rock mechanical properties, mine working face layout, use performance and maintenance records of previous hydraulic supports and the like are collected from different mining areas and historical records; and then key factors influencing the performance of the hydraulic support are identified from the integrated data set by using a machine learning and statistical analysis method, so that an intelligent hydraulic support type selection system is provided, the accuracy and efficiency of hydraulic support type selection can be improved, and the safety is guaranteed. According to the method, through deep analysis of a large amount of geological data, mine working face conditions and historical hydraulic support use conditions, most suitable hydraulic support selection suggestions are provided for roadways.

The invention relates to an intelligent soft rock tunnel surrounding rock deformation automatic monitoring and early warning system, and belongs to the field of tunnel construction safety monitoring. According to the system, multi-source data of surrounding rocks are synchronously acquired through a micron-sized laser displacement sensor, a fiber grating strain sensor, a pore water pressure sensor and a three-dimensional micro-seismic sensor array which are distributed; the edge calculation node fuses the data in real time and calculates the displacement rate, the strain gradient and the osmotic pressure coupling coefficient, and local early warning is triggered in combination with a dynamic threshold value; the cloud early warning platform predicts a deformation trend based on an LSTM-Transform fusion model, generates a multi-stage early warning signal through a risk grading engine, and is linked with the supporting equipment to regulate and control pressure; and meanwhile, a self-calibration device, an explosion-proof shell and a piezoelectric-thermal energy self-powered system are integrated. According to the method, closed-loop control from millimeter-level deformation sensing to active supporting can be achieved, and tunnel construction safety is remarkably improved.

The invention discloses a harmful deformation prevention and control method for a hydraulic soft rock tunnel, and the method comprises the steps: carrying out the preliminary classification of the surrounding rock of the tunnel according to the geological survey result of the tunnel, and dividing a deformation control target into four grades; supporting measures which are based on harmful deformation classification and conform to the deformation characteristics of the red-bed soft rock tunnel are provided by considering the characteristics of water physical property, rheological property and the like of the red-bed soft rock; in the construction stage, a soft rock tunnel harmful deformation analysis method under the seepage-rheological coupling effect is adopted for determining the reserved deformation amount, and according to an improved constraint-convergence method, the supporting opportunity is calculated and determined based on a surrounding rock characteristic curve and a safety coefficient; and finally, according to geological conditions exposed by excavation and necessary supplementary survey results, calculating and analyzing the harmful deformation index again, and dynamically adjusting the harmful deformation grade and the support measure of the specific hole section. According to the method, through a scientific supporting mode and dynamic management, tunnel deformation can be effectively controlled, and the adaptability and long-acting stability of red layer soft rock tunnel supporting are improved.

The invention discloses a surrounding rock tunnel blasting dynamic simulation method, and belongs to the technical field of data simulation. The method comprises the following steps: acquiring three-dimensional geological data; constructing an initial mechanical parameter field of the surrounding rock based on the three-dimensional geological data; based on the initial mechanical parameter field, discretizing the surrounding rock area by adopting a finite element method, dividing grids and initializing mechanical attributes of each unit; based on the mechanical properties, blasting simulation is conducted, in the simulation process, the stress distribution state of the surrounding rock is monitored in real time, and whether the stress concentration phenomenon exists or not is judged; calculating a propagation path and an attenuation rate of a stress wave generated by explosive explosion in the surrounding rock through numerical simulation based on a judgment result; based on the propagation path and attenuation rate of the stress wave, the fracture mode and fragment distribution characteristics of the surrounding rock are analyzed; and obtaining a final blasting simulation result based on the stress distribution state, the fracture mode and the fragment distribution characteristics of the surrounding rock. The method can reflect the dynamic response of the surrounding rock and predict the blasting effect.

The invention discloses a soft rock tunnel pre-grouting reinforcement treatment method and equipment, and relates to the technical field of soft rock tunnel grouting reinforcement. Drilling operation is conducted on a tunnel face of a soft rock tunnel in a preset construction area so that a plurality of grouting holes distributed at intervals can be formed in the tunnel face, and a grouting pipe is installed in each grouting hole; and grouting equipment is sequentially communicated with the grouting pipes, grouting operation is conducted on the corresponding grouting holes through the grouting pipes, so that the piston nails in all the grout outlet holes are pushed to be anchored to the hole walls of the grouting holes, and grouting reinforcement operation is completed. Anchoring and connection with a geologic body on a tunnel face are achieved through the arranged grouting pipe and the piston nail installed in the grout outlet hole in the grouting pipe, the contact area between the grouting pipe and the geologic body can be increased through cooperation of the arranged grouting pipe and the piston nail, and the contact area between a grouting reinforcing body and the geologic body is increased; the strength of the geologic body is improved, the deformation trend of the geologic body is reduced, and the grouting reinforcement effect on the soft rock tunnel is improved.

The invention provides a spatial variability soft rock tunnel deformation prediction method based on deep learning, and belongs to the technical field of tunnel deformation prediction, and the method comprises the steps: constructing a surrounding rock parameter database, and determining the optimal edge distribution of different surrounding rock parameters through employing an akaike information criterion; constructing a reference value initial model, and generating a related standard uniformly distributed random field; performing equal probability transformation on the correlation standard uniformly distributed random field to generate a cross-correlation non-Gaussian distributed random field; encoding the data matrix of the non-Gaussian distribution random field into a parameter field image; and performing soft rock tunnel deformation prediction on the parameter field image by adopting a trained deformation prediction model. According to the method, parameter independent hypothesis limitation is broken through, the multi-parameter coupling space variability is accurately represented, and the prediction precision is remarkably improved.

The invention relates to the technical field of data monitoring, and discloses a soft rock tunnel continuous deformation optical fiber sensor monitoring system, which comprises a monitoring point identification module, a data acquisition module, a deformation probability analysis module, a target monitoring data acquisition module and a continuous deformation monitoring result generation module, identifying a monitoring point corresponding to a tunnel feature region in the three-dimensional tunnel model; monitoring data and image data corresponding to the monitoring points are collected according to the initial angle and the initial collection frequency of the optical fiber sensor, data fusion is carried out, and the deformation probability of the fused data is analyzed; performing adaptive adjustment on the angle and the acquisition frequency according to the deformation probability, and acquiring target monitoring data corresponding to the monitoring point according to the adaptively adjusted angle and acquisition frequency; and determining a deformation trend corresponding to the monitoring point according to the target monitoring data and the monitoring data, and generating a continuous deformation monitoring result of the soft rock tunnel according to the deformation trend. According to the invention, the accuracy of soft rock tunnel continuous deformation monitoring can be improved.

The invention relates to the technical field of tunnel excavation, in particular to an excavation method for weak surrounding rock tunnel construction based on real-time monitoring, which comprises the following steps: S1, forepoling a tunnel arch part; s2, the design radius of the tunnel is obtained, the height of an upper step is determined based on the design radius and the longitudinal wave speed of the rock mass, and the upper step is excavated and supported; s3, determining the excavation sequence of the left side and the right side of the lower step; s4, excavating and supporting the upper step and the single-side lower step according to the determined excavating sequence; s5, the lower step and the upper step on the other side are excavated and supported; s6, preliminarily judging the stable state of the surrounding rock; s7, the single tunneling amount of tunnel circulating tunneling is adjusted on the basis of the stable state of the surrounding rock, and tunnel excavation is conducted repeatedly and circularly; according to the method, the upper and lower steps are excavated in a staggered mode, excavation and supporting parameters are adjusted and optimized, the construction efficiency is improved, and the construction period is shortened.

The invention discloses a construction method for going out of a hole of an ultra-shallow buried large-section soft rock tunnel, and relates to the technical field of tunnel construction.The construction method comprises the steps that a guide wall is constructed on a stratum where a hole to be formed is located, and a guide structure is buried in the guide wall; constructing a tunnel portal supporting structure on the stratum where the tunnel portal is located along the guide structure; concrete is poured into the first grouting pipes, so that a primary pipe shed supporting structure is formed; the tunnel face of the tunnel is excavated towards the hole opening to the position away from the hole opening by a first preset distance; a three-step method is adopted to excavate the tunnel to the position away from the portal by a second preset distance, and an upper step tunnel face, a middle step tunnel face and a lower step tunnel face are formed; a small pilot tunnel is excavated in the tunnel face of the upper step towards the portal until the tunnel is communicated with the outside; according to the method, the possibility of collapse of the ultra-shallow-buried large-section soft rock tunnel in the out-of-hole process can be reduced.

The invention discloses a soft rock tunnel deformation monitoring method, and relates to the technical field of tunnel construction.A target image set of a soft rock tunnel is obtained by carrying out photography and video recording on the soft rock tunnel subjected to excavation construction, and then a three-dimensional digital reference model of the soft rock tunnel is established according to the target image set; continuously carrying out photography and video recording operation on the soft rock tunnel to obtain a current image set corresponding to each acquisition moment, importing the current image set into the unit digital reference model, and comparing and analyzing the current joint trend with the joint trend model to obtain the current displacement of the geologic body; and finally, the deformation monitoring result of the soft rock tunnel is obtained according to the current displacement, so that the deformation condition of the geologic body of the soft rock tunnel can be identified in a photographing and video recording mode, a sensor does not need to be installed in the geologic body of the excavated and formed soft rock tunnel, and the monitoring cost is reduced.

The invention relates to the technical field of geotechnical engineering, and discloses a wall-attaching type microwave rock crushing method and device suitable for shield tunneling machine loading, and the method comprises the steps: obtaining an image of a surrounding rock tunnel face in real time through image collection equipment, and carrying out the preprocessing; analyzing the preprocessed image of the tunnel face of the surrounding rock, and analyzing the surface state of the surrounding rock by using a computer vision algorithm to obtain the current hardness of the surrounding rock; judging whether a microwave system needs to be started according to the current hardness of the surrounding rock; if the current hardness of the surrounding rock is smaller than the preset threshold value, the pushing system and the microwave system are not started; if the current hardness of the surrounding rock is larger than or equal to the preset threshold value, the control module starts the pushing system to push the microwave system to make contact with the surrounding rock tunnel face; meanwhile, a microwave system is started to heat the surrounding rock; in the working process of the microwave system, the images of the tunnel face of the surrounding rock are continuously obtained and analyzed, the hardness of the surrounding rock is judged according to the image analysis result, and the precision and adaptability of the microwave rock crushing technology can be improved.

The invention discloses a soft rock tunnel overexcavation backfill method, and relates to the technical field of tunnel construction.The soft rock tunnel overexcavation backfill method comprises the steps that a three-dimensional live-action image in a tunnel is scanned; establishing a three-dimensional live-action model according to the three-dimensional live-action image; establishing a digital twin model of the tunnel according to a design drawing; carrying out geometric intersection on the three-dimensional live-action model and the digital twin model to obtain geometric parameters of an overexcavation area; a concrete mold is subjected to 3D printing according to the geometric parameters of the overexcavation area; concrete is poured into the concrete mold, and a backfill body is formed; and the backfill body is backfilled to the overexcavation area. Due to the fact that the formed backfill body is tightly attached to the tunnel wall of the overexcavation area, the backfill precision is effectively improved, the construction quality is improved, the stability and the bearing capacity of the inner wall of the tunnel are enhanced, potential safety hazards are reduced, the concrete backfill work amount can be accurately controlled, the construction cost is reduced, and material waste is avoided.

The invention relates to a hard rock tunneling and supporting miner-bolter, which belongs to the technical field of miner-bolter, and comprises a machine body erected on a crawler belt, the middle part of the machine body is provided with a miner-bolter mechanism for crushing and tunneling hard rock, the machine body is provided with a flow guide mechanism and a conveying belt for discharging broken stones, and the top is provided with a supporting mechanism for providing temporary support; the digging and anchoring mechanism comprises a cap-shaped rotating frame, the levelness is adjusted through a first oil cylinder, the front portion of the rotating frame is connected with a pitching frame, and a second oil cylinder is used for adjusting the pitching angle. A rotating shaft is arranged on the pitching frame, a tunneling head is connected into the rotating shaft, stone jacking hammers are symmetrically arranged on the two sides of the tunneling head, and the supporting mechanism is a rock crushing cone and provided with a rotatable conical protruding part. A gravel separating disc is arranged at the rear part of the rock crushing cone, grinding balls are uniformly distributed on the gravel separating disc, and the gravel separating disc can vertically move for grinding and guiding small gravels; by means of innovative structural design and function integration, various pain points in a traditional bolter miner supporting technology are solved, and the efficiency and safety of hard rock tunnel tunneling and supporting are greatly improved.

The invention belongs to the technical field of tunnel engineering, and particularly relates to a tunnel structure mechanical property test method and system for initial support asymptotically deteriorated. And according to a working condition conversion geometric similarity ratio, configuring a surrounding rock similar material, determining a supporting similar material and material parameters in combination with a similarity theory, and manufacturing a temperature control degradation tunnel structure supporting model. By adjusting the temperature of the anchoring mortar and the initial support similar material to change the macromechanical properties, the degradation effect of the initial support structure is represented, the asymptotic degradation process of the initial support structure is simulated, the load transfer mechanism and the bearing characteristic evolution rule of a soft rock tunnel structure system under the asymptotic degradation condition of the initial support structure can be realized, and the construction efficiency is improved. And the influence degrees of various factors such as anchor body degradation rate, anchor body degradation position, surface layer primary support degradation rate, surface layer primary support degradation position, surface layer primary support inner surface roughness (smoothness, moderation and roughness), secondary lining mechanics and the like on surrounding rock deformation and support structure deformation and stress can be systematically analyzed.

The present invention belongs to the technical field of tunnel construction, and specifically relates to a shield-type cyclic pre-support shield equipment for soft soil surrounding rock tunnels, equipment body; support ring, which includes a support shell for supporting the tunnel and an inner cross brace and a frame for reinforcing the support shell, and the two end faces of the support shell are fixedly embedded with an extended connecting plate for splicing the head and the tail; a jacking system, which is used to push the equipment body and the support ring into the tunnel; wherein a clamping system for splicing each other is provided between the equipment body and the support ring and between the two end faces of the support ring, and adjacent support rings are spliced ​​by the clamping system to gradually increase the support length through a segmented structure. The present invention can simultaneously support during the process of tunnel excavation and continuously extend the support length in a cycle, improve work efficiency, and reduce engineering workload. It is a technical measure and equipment that integrates simplicity, high efficiency, and environmental protection.

The invention relates to the field of TBM construction, in particular to a construction method for pre-stressed anchoring of a shield type TBM penetrating through a soft rock cave section, which is a construction method for performing active supporting by taking a pre-stress measure as a core on the basis of passive supporting of a duct piece, and construction of a pre-stressed anchor rod is rapidly completed while TBM tunneling is ensured. And the slab staggering and damage risks caused by large deformation of soft rock and the risk of subsequent repair of the formed segment are reduced, the construction quality of the TBM penetrating through the high-ground-stress soft rock cave section is guaranteed, the advantage of the shield type TBM penetrating through complex stratums such as weak and broken stratums is greatly played, and high popularization performance is achieved. Therefore, the technical problems that in the relatively limited in-hole operation space and the existing duct piece supporting construction process, deformation of the duct piece and clamping of a rear supporting machine of the TBM are prevented can be solved, and the purpose of performing active supporting measures on the later-period deformed surrounding rock for construction is achieved.

The invention relates to the technical field of tunnel engineering safety prevention and control, and provides a gypsum rock tunnel water disaster risk evaluation and prevention and control scheme selection method which comprises the following steps: step 1-3, based on parameters such as rock mass structural integrity, stratum karst development degree, water yield property, groundwater corrosivity, gypsum rock mineral composition, expansibility and corrosion property, establishing a grading evaluation system, dividing corresponding grades and determining influence indexes R1-R8; 4, adopting an AHP method, an entropy weight method and a CRITIC method to perform multi-dimensional weight calculation on the subjectivity, objectivity and conflict influence indexes, correcting abnormal weights in combination with expert experience and verification rules, generating a comprehensive score, dividing risk grades, and matching graded prevention and control measures; and 5, optimizing and adjusting prevention and control measures in real time through a parameter risk level dynamic judgment and construction method matching mechanism. According to the method, multi-source parameter dynamic empowerment can be fused, and a full-life-cycle prevention and control method with accuracy, timeliness and self-adaptability is provided for tunnel engineering.

The invention relates to the technical field of geological data processing, discloses a TBM tunneling parameter prediction model training method and device and a prediction method, and aims at solving the problem that an existing TBM tunneling parameter prediction scheme is poor in accuracy. Acquiring a plurality of first sample images of a surrounding rock tunnel face tunneled by the TBM, and determining surrounding rock grade evaluation parameters, rock mass mechanical parameters and TBM tunneling parameters corresponding to the first sample images; after feature discrete matching is carried out on the surrounding rock grade evaluation parameters corresponding to the first sample images, the surrounding rock grades corresponding to the first sample images are determined according to a surrounding rock grade prediction model obtained through pre-training; the method comprises the following steps: screening rock mass mechanical parameters based on a grey relational degree method, and establishing a sample data set; and training a CNN-LSTM model according to the sample data set to obtain a TBM tunneling parameter prediction model. The TBM tunneling parameter prediction accuracy is improved, and the method is particularly suitable for rock tunneling.

The invention relates to the technical field of iron engineering, and provides a rapid mechanical excavation device and method suitable for hard rock tunnel engineering, the section of a tunnel is divided into an upper step area and a lower step area, and the upper step area and the lower step area are subdivided into three construction ranges A, B and C. The zone A adopts a diamond wire saw hydraulic drilling and cutting all-in-one machine to cut rocks; a crawler-type annular drilling machine is used for drilling in the area B, and then a hydraulic splitting rod is used for splitting a rock stratum; and the area C adopts a mine vertical disk saw and a horizontal disk saw for cutting, and then an excavator is used for crushing. The technology is suitable for hard rock strata, mechanical equipment is miniaturized, large vibration is avoided in the construction process, the influence on adjacent railways is small, and the working efficiency is high. And in the implementation case that the water conservancy tunnel passes through the combined high-speed rail roadbed, the construction influence is effectively reduced, and the construction speed is increased.

The invention belongs to the technical field of soft rock tunnel deformation prediction, and provides a soft rock tunnel long-term deformation prediction method based on machine learning, and the method comprises the steps: obtaining surrounding rock deformation, surrounding rock stress and support structure stress data in a tunnel construction process, and taking the data as a model original database; preprocessing various types of data in the original database, and establishing a transaction table after grading the various types of data according to a data change rate; an association rule is calculated and determined, and monitoring objects with high correlation with tunnel surrounding rock deformation are screened out; establishing a sample database according to the data of the class of objects; and establishing a BP-neural network prediction model for training to obtain a prediction model meeting a target value condition. According to the method, the correlation between the sample data and the target prediction value is determined, the monitoring object most related to the target value is screened out, and the data of the monitoring object is adopted as the input of the prediction model, so that the prediction rate of the model can be increased, and the prediction precision of the model is improved.