70 results about "Rock mass strength" patented technology

The invention discloses a deep ore rock stability rapid assessment method and system based on RMR classification, and relates to the technical field of ore rock assessment and mining. Intelligent calibration scanning is carried out through a high-precision scanning device to obtain fracture data of the deep ore rock, the complete deep ore rock stability rapid evaluation method and system are constructed, and efficient acquisition of ore rock quality parameters and RMR preliminary scoring are achieved through digital acquisition equipment and a high-precision scanning technology. A target collaborative calibration mechanism and a data quality index dynamic evaluation system are innovatively introduced, the monitoring influence of instrument system errors on key parameters such as fracture occurrence and rock mass strength is remarkably reduced, and the accuracy and reliability of RMR scoring are improved. The system has strong environmental adaptability, can autonomously identify and suppress noise interference based on a stereographic projection and intelligent filtering parameter adjustment mechanism, and ensures that high-quality point cloud data can still be stably output under complex geological conditions.

A rock mass cavern seismic dynamic stability analysis method considering layer vibration degradation comprises the following steps: determining transverse isotropic elastic mechanical behaviors, strength criteria and plastic potential functions of a layered rock mass, and constructing an elastic-plastic degradation constitutive model of the layered rock mass; determining a stratified rock mass layer surface strength parameter calculation formula under the earthquake action, determining a stratified rock mass rock mass strength parameter calculation formula, and establishing a stratified rock mass strength parameter evolution rule considering the layer surface vibration degradation effect; defining a layer damage degree index, and constructing a layered rock mass damage degree evaluation index under the earthquake action; and calculating the earthquake stability safety degree coefficient of the rock mass underground cavern, and determining the earthquake stability safety degree interval of the rock mass underground cavern. According to the method, the layer vibration degradation effect is considered, the safety evaluation result is more accurate, the application range is wide, the principle is simple, the physical significance is clear, the earthquake stability of the rock mass underground cavity is effectively analyzed, and the method has good practical engineering application prospects.

The invention relates to the technical field of slope stability prediction, in particular to a slope stability evolution prediction method of a main shock and aftershock sequence cumulative damage mechanism. The method comprises the following steps: determining an initial strength parameter of a slope sliding surface rock-soil body and a dynamic strength attenuation parameter under the action of a main shock and aftershock sequence through an indoor cyclic load test, and establishing a cumulative damage model; three-dimensional side slope geometric features are obtained, and the spatial orientation and the stress direction of a potential sliding surface are determined; calculating a dynamic sliding force in combination with seismic oscillation parameters, and updating an effective strength parameter and a dynamic anti-sliding force of the sliding surface in real time; and carrying out staged calculation and dynamic evolution analysis by adopting a limit equilibrium method or a strength reduction method. According to the method, by introducing a rock-soil body strength accumulated damage and progressive attenuation mechanism under the cyclic action of the main and aftershock sequences, the damage accumulation process and the stability evolution law of the slope stability along with the development of the main and aftershock sequences are described, so that the progressive instability process and the accumulated instability risk driven by the aftershock after the main shock is triggered can be identified.

A combined rock mass strength prediction and floor strength mapping method based on a PCA-KAN fusion neural network comprises the following steps: preparing combined rock mass test pieces with different layer sequences, thickness ratios and interface states, and obtaining multi-dimensional mechanical parameters through a compression mechanical test; carrying out dimension reduction processing by adopting a principal component analysis method, constructing a comprehensive strength index according to a principal component load coefficient, and forming a dimension reduction feature vector; constructing an Attn-KAN model, and adjusting hyper-parameters by adopting a Bayesian optimization algorithm; the performance and interpretability of the model are ensured through layered K-fold cross validation and SHAP analysis; the method comprises the following steps: carrying out a compression mechanical test on a field rock core sample to obtain multi-dimensional mechanical parameters, carrying out dimension reduction processing by adopting a principal component analysis method, and predicting by taking a principal component feature vector as input data to obtain a comprehensive strength predicted value; and adopting a Kriging interpolation method to output an intensity distribution and risk grade partition map. According to the method, accurate prediction of the strength of the combined rock mass can be realized, and spatial visual mapping of the strength of the coal seam floor and the risk level can be realized.

The invention provides a complex fractured rock mass grouting geologic model modeling method which comprises the steps that grouting related information is obtained, a grouting geologic model is built based on the grouting related information, and the grouting geologic model comprises a grouting geologic structure model, a grouting environment parameter model and a grouting engineering characteristic model. According to the method, various grouting related information is expressed as a grouting characteristic model through a large-area extrapolation modeling method, a rock mass parameter determination-random modeling method and a discrete fracture network modeling method; comprise a grouting geologic structure model (a rock mass model, a fracture model and a karst cave model), a grouting environment parameter model (a rock mass strength model and a rock mass permeability rate model) and a grouting engineering characteristic model (a slurry material partition model and a grouting pressure model), and verification is carried out based on project field examples of the Zhuang hydro-junction. It is proved that under the condition that the geological condition and the actual grouting construction method are fully considered, the accuracy of the analysis result of the grouting geological model is high.

The present application belongs to the field of phosphate ore filling mining, and particularly relates to a phosphate ore deposit bottom pillar and ore block coordinated stage empty field subsequent filling mining method, which comprises the following steps: dividing the ore bed into a plurality of ore blocks along the strike of the ore bed, wherein the ore block comprises an ore room and a bottom pillar; constructing a roadway for transportation and ventilation; first mining the ore bed with a smaller rock mass strength coefficient and filling; retaining or blasting the interlayer; mining the ore bed with a larger rock mass strength coefficient and filling; and mining the ore bed in the bottom pillar of the previous middle section. The present application does not need to fill the empty area formed by the bottom pillar recovery, can reduce the filling process and filling material, reduce the filling cost and construction process, and improve the mining efficiency. The present application can realize the full mining of the ore bed, does not leave the top pillar, and recovers the bottom pillar without filling, so that the ore recovery rate is close to 100%, and good economic benefits can be achieved.

The invention provides a roadway surrounding rock stability judgment method and a classified supporting method, and relates to the technical field of soil layer or rock drilling and mine safety. The method comprises the following steps: S1, determining roadway surrounding rock stability influence factors; s2, dividing a rock mass strength index, a surrounding rock stress index, a surrounding rock integrity index, a roadway size index, a coal pillar ruler habit index, a water spraying index and the like; s3, determining a roof strength stress coefficient, a roof integrity coefficient and a side loosening coefficient; s4, performing field investigation or testing to obtain a classification index value, and determining an index threshold value through a fuzzy clustering method; s5, determining classification of non-impact roadways and impact dangerous roadways according to the roadway impact dangerousness and the impact danger index; and S6, determining a roadway support mode according to the roadway surrounding rock stability classification. According to the method, more comprehensive influence factors are considered, parameters are more convenient to obtain, values of factors required by field test classification indexes are facilitated, and scientific support of roadway surrounding rocks is achieved.

The invention discloses a mine earthquake risk main control factor analysis method based on rock stratum macro-microscopic numerical simulation. The method comprises the following steps: firstly, collecting a rock sample and testing to obtain microscopic rock mechanical parameters; secondly, constructing a standard sample model based on discrete element numerical analysis software, and performing heterogeneity parameter assignment on the standard sample model by utilizing a Weibull function in combination with fractal dimensions and mesoscopic rock mechanical parameters, so as to realize accurate matching of rock mass mesoscopic-macroscopic mechanical properties; the mesoscopic rock mechanical parameters are converted into macroscopic rock mechanical parameters for discrete element analysis according to the conversion relation between the rock quality indexes and the rock strength, and high-fidelity reconstruction of a discrete element macroscopic model is achieved; and subsequently performing an orthogonal test and range analysis to quantify the macroscopic heterogeneous main control factors, thereby realizing priority ranking of each macroscopic heterogeneous main control factor as a key disaster-causing factor. Simulation can be carried out under the condition of considering the rock stratum heterogeneity, the result fits the actual rock stratum condition, and data support is provided for subsequent mine earthquake risk prevention and control treatment on the rock stratum.

The invention discloses a rock mass parameter inversion method and system based on automatic machine learning, and the method comprises the steps: obtaining temporal and spatial change features from rock mass monitoring data, constructing a feature importance evaluation system, and obtaining a standardized feature vector; according to the coordinated parameter transmission and model synchronization result, rock mass strength and deformation parameters are obtained, a correlation analysis model is adopted to calculate a safety coefficient and a damage probability, and a harmfulness evaluation index is obtained; the method comprises the following steps: acquiring a parameter distribution rule and a change trend, constructing a parameter database system for classified filing and version control, obtaining centralized management platform data, extracting historical tracing information, triggering a dynamic adjustment inversion strategy if the change trend exceeds a preset threshold, and obtaining a real-time updated parameter statistical analysis result for integrated risk prediction. According to the method, the accuracy of rock mass parameter inversion and the real-time performance of engineering risk prediction are remarkably improved, the slope damage probability is reduced, and engineering safety and efficient management are ensured.

A ground-borehole-tunnel combined fine detection method and system, wherein the fine detection method comprises: configuring an ground-borehole-tunnel combined observation mode for tunnel boring machine (TBM) rock-breaking seismic source detection, and carrying out time synchronization and spatial positioning; synchronously acquiring and storing signals by a ground-borehole-tunnel combined detection device when the TBM starts to work; processing parameters in the tunneling process of the TBM and data acquired by a receiving station array to obtain a velocity model and a seismic section of areas in front of and around the tunnel after completing data acquisition; and determining geological conditions of rock masses in front of a working face of the TBM and around the tunnel, based on the obtained velocity model and the seismic section, in combination with the spatial distribution of excavated rock strength indexes and geological drilling data, to realize advanced prediction of geological anomalies.

The present application relates to the technical field of geological exploration, and discloses a rock burst identification method, system and medium. The present application is based on a rock burst identification method proposed based on the stress characteristics and dynamic disturbance of the rock mass structure surface properties. Starting from the nature of the rock mass strength and the stress state, the present application uses mathematical space vector calculation to realize the identification of the location and potential scale of the strain type and structure surface type rock burst occurrence. The present application realizes the accurate calculation of the location and potential scale of the rock burst in the tunnel cavern, and is not limited by the rock properties and the type of the tunnel cavern. The present application can be continuously calculated during the tunnel excavation, and is not limited by the monitoring equipment. The calculation formula of the present application is simple and has a wide range of applications.

The invention provides a long-distance high-pressure grouting advanced modification method for a coal mine working face, which belongs to the field of coal mining and comprises the following steps of: drilling a plurality of first grouting holes at intervals along the tunneling direction of a roadway by taking a top plate as a reference; the roadway is tunneled after the first grouting hole is sealed and grouted; a drilling site is formed in the roadway, and a plurality of second grouting holes are drilled through the drilling site; and the second grouting holes are sealed and grouted. The coal mine reinforcing method aims at solving the problem that in the prior art, a coal mine reinforcing mode is difficult to comprehensively reinforce faults, wrinkles, collapse columns, areas with low coal and rock mass strength and peripheral key stress rock stratums. The grouting pre-reinforcement method has the advantages that grouting pre-reinforcement is carried out aiming at faults, folds, collapse columns, roadway tunneling, working face stoping and the like which are affected by low strength of coal and rock masses, the reinforcement effect is improved, the roadway tunneling efficiency is improved, and safe stoping of the working face is guaranteed.

The invention discloses a rock mass mechanical parameter determination method and system for a rock slope blasting excavation damage area, particularly relates to the technical field of rock mass engineering stability evaluation, and is used for solving the problem of misalignment of parameter characterization caused by neglecting a damage area rock bridge and fracture zone composite structure in the prior art. The method comprises the following steps: arranging a point load test in a damage area and identifying non-unimodal distribution data; combining fracture catalog data, fusing penetrability fracture density segmentation capability and a dominant inclination angle direction failure effect to generate a collaborative isolation parameter, and dividing a residual rock bridge and fracture fracture zone spatial distribution mode according to the collaborative isolation parameter; accurately classifying the intensity data into two types of subsets based on space mapping; and finally, macro-mechanical parameters are generated through weighted fusion of the area proportion and the double-source strength statistical value, the rock mass strength prediction precision of the blasting damage area is remarkably improved, and a reliable basis is provided for slope stability analysis and support design.

The application provides an intelligent rock-soil in-hole shear instrument and a use method, and relates to the technical field of stress testing. The shear instrument is provided with an intelligent walking mechanism, and a front-end walking mechanism and a rear-end walking mechanism are arranged for the movement of the shear instrument in a borehole, so that the installation position can be accurately positioned in the borehole. A front-end shear mechanism and a rear-end shear mechanism apply a normal stress to the surrounding rock of the borehole, and a shear force loading mechanism applies a shear stress to the surrounding rock of the borehole. The shear instrument can directly perform a shear test on the rock mass in the borehole, so that the distortion of the rock mass strength parameters caused by stress release, structure disturbance and other factors in the process of taking the rock sample from the underground is avoided. In addition, the structure of the shear instrument has stronger adaptability to the complex underground environment, the mechanical response information of the rock mass at different positions can be more comprehensively obtained, and the accuracy and reliability of the test results are improved.

The application discloses a surrounding rock strength calculation method and system based on prestressed anchor equivalent supporting reaction, relates to the technical field of surrounding rock data processing, and comprises the following steps: obtaining initial mechanical parameters of surrounding rock, tunnel excavation parameters and design parameters of anchor supporting; based on the design parameters, calculating the cohesion increment, the elastic modulus of the anchor surrounding rock composite structure and the equivalent supporting reaction respectively; superimposing the cohesion increment and the initial cohesion of the surrounding rock to obtain the total cohesion; applying the equivalent supporting reaction as a boundary condition to a bearing arch model; parallelly calculating the rock mass strength safety factor, the anchoring system efficiency coefficient and the comprehensive deformation stability coefficient; and synthesizing the rock mass strength safety factor, the anchoring system efficiency coefficient and the comprehensive deformation stability coefficient to obtain the final surrounding rock strength safety factor. Through quantitative analysis, the application reduces the possibility of engineering risk and provides technical support for this special and complex engineering type of large-span tunnels.

The invention belongs to the technical field of geotechnical engineering rock mass strength parameter testing, discloses a parameter calibration method of a Hoek-Brown empirical strength criterion, and solves the problems that an existing method depends on a single data source, is low in fitting precision and does not consider rock mass dynamic disturbance. The method comprises the following steps: acquiring indoor test and field actual measurement multi-source data, and carrying out abnormal value elimination and normalization preprocessing; constructing a rock mass disturbance coefficient dynamic correction model to correct basic parameters; an improved cuckoo-least square fusion algorithm is adopted to fit the core parameters; and the parameter precision is verified in combination with reserved data. The method is comprehensive in data source, parameters can dynamically adapt to working conditions, fitting precision is high, and the method can be widely applied to rock mass strength evaluation of geotechnical engineering such as tunnels and side slopes.

The invention discloses a method for constructing a biaxial compression strength prediction model of a double-hole model sample, which comprises the following steps of: correcting a Mohr-Coulomb strength criterion by combining intermediate principal stress to obtain a Mohr-Coulomb strength formula corresponding to the triaxial compression strength of a complete rock; introducing a hole reduction coefficient, and obtaining a reduction model corresponding to the hole influence; a Mohr-Coulomb strength formula corresponding to the triaxial compression strength of the complete rock is reduced, and a triaxial compression strength prediction model of the double-hole model sample is obtained; and obtaining a biaxial compression strength prediction model of the double-hole model sample. By introducing the hole reduction coefficient, the coupling influence of coexistence of the two holes and geometric configuration of the two holes on the macroscopic strength of the rock mass is clearly quantified, the technical defect that an existing rock mass strength prediction model cannot accurately reflect the strength weakening effect caused by interaction of the two holes is overcome, and compared with a complex full-three-dimensional numerical simulation method, the method has the advantages that the method is easy to implement. The model calculation process is simpler, more convenient and more efficient.

The application discloses a kind of compressed air energy storage cavern operating pressure determination method, comprising the following steps: establishing the elastic mechanics plane strain model of surrounding rock-lining-sealing layer composite structure, deducing the analytical solution of elastic stress and displacement of composite structure;Determine the upper limit of cyclic internal pressure;Introduce the spatial heterogeneity function of surrounding rock parameter, deduce the elastoplastic stress and plastic zone radius expression of composite structure;Introduce the fatigue damage evolution equation to correct rock mass strength parameter, based on the plastic zone radius control condition, solve lower limit pressure.The method can simultaneously utilize initial geostress to constrain surrounding rock deformation and quantify the attenuation of rock mass parameters caused by long-term cyclic loading, while ensuring that surrounding rock does not produce tensile failure and the expansion of plastic zone is controllable, the best operating pressure range and amplitude of compressed air energy storage cavern in the whole life cycle of up to 30 years are accurately quantified, so as to ensure the long-term sealing and safety of the structure, effectively optimize the design parameters, and improve the engineering economy.

This invention relates to an optimized processing method for monitoring surrounding rock displacement during the excavation of a cavern complex. The method includes: determining the rock mass strength parameters and establishing a three-dimensional geological model by combining topographic information of the target area and on-site geological survey data; calculating the corresponding three-dimensional geostress field; determining the approximate range of surrounding rock strength and deformation parameters according to specifications and rock mechanics handbooks based on the surrounding rock category determined by surrounding rock classification and surrounding rock parameters obtained from laboratory tests; calculating the relative deformation of different measurement sections and inverting the optimized surrounding rock parameters using the relative deformation of different measurement sections monitored by multi-point displacement gauges; and verifying the reliability of the inverted surrounding rock parameters by comparing them with the measured relative deformation characteristics of the surrounding rock. The beneficial effects of this invention are: by optimizing the surrounding rock parameters to obtain the excavation response characteristics of the surrounding rock, the on-site monitoring data is corrected and analyzed to correct the multi-point displacement gauge monitoring data, making the monitoring data obtained by the multi-point displacement gauges more accurate.

The application discloses a kind of high pressure aquifer on roadway low-loss fast excavation method, it is related to mine stratum control and roadway support technical field, comprising: obtaining the stratum characteristics and hydrogeological parameters of target mine excavation area, based on stratum characteristics and hydrogeological parameters comprehensive determination TBM excavation layer, and the rock mass integrity and water abundance of excavation layer are evaluated and modified;According to the floor pressure water pressure of mine excavation area, the distance between excavation layer and pressure water and rock mass strength, calculate and dynamically evaluate the water inrush risk of working face, based on water inrush risk evaluation result, determine the excavation speed of TBM and the support form of roadway;In the process of TBM excavation, the surrounding rock in front is advanced with the exploration as it is excavated, and the deformation and water inrush risk of the excavated roadway are monitored and feedback controlled in real time, and the support scheme and water prevention and control measures are dynamically adjusted according to the monitoring result.The application realizes high pressure aquifer on roadway low-loss fast excavation.

The invention provides a tunneling roadway high-pressure water jet pre-slotting assisted advanced water exploration and drainage method and system, and relates to the technical field of coal mining. Firstly, an advanced water exploration and drainage drill hole is designed and constructed at the head-on of a tunneling roadway in the tunneling direction of the roadway, high-pressure water jet pre-slotting is conducted at the bottom of the drill hole, and finally a slot is formed in a coal (rock) body. Hydrofracture is carried out on the basis that a seam groove is formed in a coal (rock) body, the crack can expand and extend in the direction of the prefabricated seam groove under the action of high-pressure water, and the crack expansion range is widened. When fractured cracks develop and extend to the water accumulation area, connection between the water accumulation area and the advance drill hole is conducted, so that the position of the water accumulation area in a coal (rock) layer is detected, hidden accumulated water in front of a tunneling head is drained in advance, roadway tunneling safety is guaranteed, tunneling efficiency is improved, and continuous tension of mine excavation is relieved. The method has the characteristics of simplicity, high efficiency and small construction amount, and has the advantages of reducing the strength of the coal rock mass, reducing the dust concentration during tunneling and the like.

The application discloses a pre-grouting reinforcement method for surrounding rock of a support-removing passage of a fully-mechanized coal mining face, belongs to the technical field of surrounding rock stability control, and comprises a working face transportation roadway and an air return roadway, grouting holes are arranged in the working face, and the grouting holes on each side are divided into shallow holes, medium-deep holes and deep holes; ultra-fine cement slurry is injected into the working face through the shallow holes, the medium-deep holes and the deep holes, and full penetration of coal and rock bodies is realized; the shallow holes, the deep holes and the medium-deep holes are cross-drilled and grouted; after grouting is completed, corresponding reinforcement structures are formed; after a coal mining support reaches a stop mining line and forms a support-removing passage, the coal wall and the roof are both pre-reinforced coal and rock bodies; on the basis of pre-grouting reinforcement, proper anchor rods and anchor cables are arranged on the coal wall and the roof of the support-removing passage. The application reinforces the coal and rock bodies in the support-removing passage region in advance through advanced pre-grouting, improves the strength and the bearing capacity of the coal and rock bodies in the stop mining line region, and provides a safety guarantee for subsequent safe support removal.

The invention relates to the technical field of tunnel engineering, and discloses a tunnel soft rock large deformation assessment method based on multi-source parameter analysis, and the method comprises the steps: firstly constructing an assessment model based on a grey clustering theory, and carrying out the preliminary risk classification of tunnel surrounding rock; after a tunnel face is revealed through tunnel excavation, apparent characteristic data are quantitatively collected, a comprehensive score is calculated, and an apparent large deformation level is determined; meanwhile, a BP neural network model optimized through a particle swarm optimization algorithm is utilized, and the cumulative deformation of the surrounding rock is predicted based on multi-source input parameters; calculating a strength-stress ratio by combining ground stress and rock mass strength data actually measured on site, verifying and correcting the preliminary grade, and determining a final comprehensive large deformation grade; and finally, mapping the grades into support parameters, and executing dynamic adjustment based on monitoring data. According to the method, through the fusion of theoretical calculation, field quantitative scoring and intelligent prediction, accurate judgment and closed-loop control of large deformation of the soft rock are realized, and the construction risk is effectively reduced.

An integrated rapid excavation equipment for rock roadways and a method thereof are provided. The excavation equipment is provided with a multi-function drilling rig on one side of the boom-type roadheader body and a temporary support mechanism above an oscillatory cutting part. Before the excavation equipment breaks the rock, the multi-function drilling rig is used to form deep holes in the rock to be broken, the pulse fracturing system is then utilized to further expand and fracture the deep holes to weaken the rock mass strength, the oscillatory cutting part is subsequently employed to mill the rock mass, and finally, the multi-function drilling rig and the temporary support device are used for bolting and support on the rock mass.

This invention provides a method and related device for real-time prediction of rock mass strength in tunnel excavation advance drilling. By acquiring drilling parameters during the advance drilling process, a mechanism characteristic representing rock breaking strength and energy consumption is constructed based on these parameters. This mechanism characteristic is then input into a baseline prediction model, a residual correction branch, and a physical consistency branch. A fusion gating network generates a first fusion weight corresponding to the residual correction and a second fusion weight corresponding to the physical correction. Based on the baseline prediction value, the residual correction, the physical correction, and the first and second fusion weights, the final predicted value of the uniaxial compressive strength of the rock mass is determined. This invention uses drilling mechanism characteristics as input to construct a collaborative prediction framework consisting of a baseline prediction model, a residual correction branch, and a physical consistency branch. A dual-gating mechanism enables sample-level adaptive fusion and robust output, thereby simultaneously improving prediction accuracy, physical rationality, and engineering applicability.

The invention provides an intelligent rock-soil in-hole shear apparatus and a use method, and relates to the technical field of stress testing. The shearing instrument is provided with an intelligent walking mechanism, the intelligent walking mechanism comprises a front-end walking mechanism and a rear-end walking mechanism, the front-end walking mechanism and the rear-end walking mechanism are used for moving the shearing instrument in a drill hole, the installation position can be accurately positioned in the drill hole, the front-end shearing mechanism and the rear-end shearing mechanism apply normal stress to the drill hole surrounding rock, and the shearing force loading mechanism applies shearing stress to the drill hole surrounding rock. The shear apparatus can be used for directly carrying out a shear test on a rock mass in a drill hole, and rock mass strength parameter distortion caused by factors such as stress release and structural disturbance in the process of taking out a rock sample from the underground is avoided; in addition, the structure of the shear apparatus has higher adaptability to the complex underground environment, mechanical response information of the rock mass at different positions can be obtained more comprehensively, and the accuracy and reliability of the test result are improved.

The present application relates to a kind of deep-buried tunnel support opportunity fast determination method considering rock mass three-dimensional strength, comprising: based on tunnel engineering field geological detection, excavation face rock mass parameter digitization in-situ test and analysis, real-time acquisition and dynamic update tunnel excavation face rock mass in-situ mechanical parameter and engineering parameter, and determine rock mass strength parameter;Based on rock mass in-situ mechanical parameter, engineering parameter and rock mass strength parameter, establish the tunnel three-dimensional elastic-plastic mechanics analytical model considering rock mass three-dimensional strength and longitudinal axial stress, solve the maximum deformation of surrounding rock and plastic zone radius;Based on the maximum deformation of surrounding rock and plastic zone radius, determine the tunnel longitudinal surrounding rock deformation curve equation considering rock mass three-dimensional strength and longitudinal axial stress;Based on tunnel surrounding rock deformation stability index and tunnel longitudinal surrounding rock deformation curve equation, determine initial lining, two lining support opportunity, and guide construction driving rate.Compared with prior art, the present application has the advantages of fast calculation, considering factors.

The invention belongs to the technical field of strip mine slope monitoring, and discloses a strip mine slope rock mass strength prediction system based on multi-source coupling modeling, which comprises the following steps of: firstly, acquiring macro data such as geological exploration data, real-time monitoring data and the like, and micro data such as rock mass fracture evolution signals, rock mass micro porosity and the like; constructing a macroscopic and microscopic multi-scale data system; carrying out the initial noise reduction through adaptive filtering, separating effective signals through wavelet transformation, recognizing abnormal data through an isolation forest algorithm, and guaranteeing the data quality in combination with improved normalization processing; the analysis unit calls multi-scale data to establish a collaborative analysis model of a stress field, a damage field, an environment field, a mining field and a temperature field, and quantifies the influence of multi-field coupling on rock mass strength and a microscopic-macroscopic damage association rule; the prediction unit adopts a bidirectional LSTM model fused with an attention mechanism, differential parameter weights are set according to mining stages, the influence of key events such as blasting impact is strengthened, and the deviation between a prediction result and an actual working condition is greatly reduced.

The embodiment of the invention discloses a hydrofracture simulation method and system based on acoustic emission monitoring, and the method comprises the steps: collecting the cuttable data of a sample rock mass based on a triaxial fracturing device and an acoustic emission monitoring system, and building a joint development scale simulation model; the method comprises the following steps: collecting integrity indexes and strength parameters of a sample rock mass, constructing a dynamic characteristic evolution system, and establishing a rock mass strength deterioration prediction model; checking and optimizing the model based on historical case data; a multi-scale fracturing crack propagation prediction algorithm is constructed, a hydraulic fracturing construction simulation model is established, and the hydraulic fracturing effect of a hydraulic fracturing planning scheme is simulated and generated according to a simulation instruction; and / or, according to the planning instruction, generating a hydraulic fracturing simulation scheme. According to the embodiment of the invention, the spatial distribution characteristics and development laws of the joints in the rock mass can be accurately identified, dynamic prediction of rock mass strength and permeability changes is realized, the controllability and safety of fracturing construction are improved, and the influence of human factors on construction quality is reduced.

The application discloses a rock roadway hot-activated cold-cracking rapid tunneling method based on ground sound monitoring. The tunneling method is characterized by the synergistic process of microwave radiation heating, hydraulic fracturing cold cracking and real-time ground sound monitoring, effectively reduces the rock strength, reduces the impact load of the tunneling machine cutter, greatly reduces the wear rate, significantly improves the tunneling efficiency, and significantly reduces the safety risk of underground operation. The ground sound monitoring system realizes real-time control of the internal crack expansion of the rock mass, solves the problem of lack of real-time monitoring means in the traditional auxiliary fracturing method, and ensures the stability and controllability of the weakening effect. By reducing the replacement frequency of vulnerable parts, reducing maintenance costs and improving tunneling efficiency, a new technical path is provided for efficient tunneling of hard rock roadway, which breaks through the technical bottleneck of traditional methods under hard rock conditions, provides a safe, stable and efficient solution for efficient tunneling of hard rock roadway in coal mines, and has wide application prospect.