108 results about "Rock mass strength" patented technology

The invention relates to a fractured coal and rock mass strength intelligent prediction method based on image recognition, and belongs to the technical field of rock mass mechanics prediction. The method comprises the following steps: (1) carrying out an indoor test according to different fracture parameters and lithology, and establishing an initial training data set; (2) introducing numerical simulation data, supplementing laboratory data through the simulation data, integrating the data into a data set, and constructing a sample database of coal and rock mass fractures and strength; (3) training a machine learning model by using the sample database, wherein the machine learning model is trained by adopting a gradient lifting decision tree model; (4) testing the precision of the machine learning model by using test set data; (5) acquiring a working face image; and (6) predicting the strength of the to-be-measured coal rock mass. According to the method, a traditional rock strength measurement method is improved, an accurate prediction model can be constructed by combining the nonlinear relationship between the geometrical characteristics and the strength of the coal-rock mass fractures with different lithology, and efficient prediction is realized.

The invention belongs to the technical field of coal mining, and discloses a working face initial mining period hydraulic fracturing top cutting drill hole arrangement method based on an asymmetric three-hinged arch structure so as to solve the technical problems existing in initial mining period hard top plate treatment in the prior art. Comprising the steps that the position of a key layer is judged, the fracture distance of a hard roof of a working face is judged, the horizontal position of an upper roof fracture is determined based on an asymmetric three-hinged arch structure, the vertical height, namely the caving height h, of a hydraulic fracturing cut roof is determined, and fracturing holes of conventional straight holes are constructed in a working face open-off cut and transportation roadways and return air on the two sides. Fracturing holes in the cut holes are constructed perpendicular to the coal wall, drilling construction is conducted through drilling equipment, and the steps of conventional drilling fracturing, directional long drilling fracturing and the like are conducted respectively. According to the method, the rock mass strength is reduced, mine pressure disasters caused by overall caving of the large-area suspended roof are effectively controlled, frame pressing and rock burst disasters are avoided, the respective advantages of a conventional straight hole and a directional hole phase are fully played, and a guarantee is provided for safe and efficient stoping.

The invention belongs to the technical field of intelligent detection, and particularly discloses an underground engineering intelligent anchor detection system and method.The system comprises a movable chassis, an automatic continuous drilling subsystem arranged on the movable chassis, an automatic monitoring subsystem and a data analysis subsystem, and the automatic monitoring subsystem and the data analysis subsystem are arranged on the automatic continuous drilling subsystem; the automatic continuous drilling subsystem comprises a mechanical large arm connected with the movable chassis, a rotating platform connected to the tail end of the mechanical large arm, and a drilling unit connected with the rotating platform; the automatic monitoring subsystem is used for monitoring while-drilling parameters in the drilling process in real time and transmitting the while-drilling parameters to the data analysis subsystem. The data analysis subsystem inverts rock mass strength parameters and rock mass structural plane characteristics in real time based on a rock mass strength inversion model and a structural plane inversion model, and quantitative evaluation of surrounding rock in the drilling process is achieved, so that a surrounding rock broken area is anchored in time. According to the invention, in-situ detection of deep underground engineering, especially deep mines, can be realized.

The invention discloses comprehensive rock drift rapid tunneling equipment and a using method thereof.According to the tunneling equipment, a drilling and anchoring integrated multifunctional drilling machine is arranged on one side of a cantilever type tunneling machine body, and a temporary supporting mechanism is arranged above an oscillation cutting part; a deep hole is formed in a to-be-crushed rock by utilizing the multifunctional drilling machine, the deep hole is further expanded and cracked by utilizing the pulsating fracturing system, the strength of a rock mass is weakened, then the rock mass is milled by adopting the oscillating cutting part, and finally, the rock mass is anchored and protected by utilizing the multifunctional drilling machine and the temporary supporting device, so that a guarantee is provided for an operation environment. According to the equipment and the technology, a traditional roadway tunneling procedure is simplified into a continuous procedure, the tunneling efficiency of roadway rock mass is greatly improved, and meanwhile the cost is saved.

The invention discloses a tunnel parametric modeling method and system based on binocular vision, and relates to the field of tunnel modeling. Comprising the steps that tunnel images shot by a binocular camera with known characteristic parameters are collected, the images are preprocessed, and a training image set is generated; establishing a neural network model based on the training image set, and realizing prediction functions of inputting tunnel images and outputting characteristic parameters through model training; then, a binocular camera is calibrated, camera parameters are obtained, the calibrated camera is used for collecting an image of a target tunnel, the image is input into the model after preprocessing and splicing, and a characteristic parameter predicted value is generated; and establishing a finite element model based on tunnel characteristic parameters, analyzing rock mass strength parameters, and generating a shear slip index, a surrounding rock strength ratio index and a comprehensive strength evaluation coefficient for judging tunnel strength and stability. The mechanical property and the potential instability risk of the tunnel are comprehensively reflected, and a scientific basis is provided for tunnel construction and subsequent maintenance.

The invention discloses a rock mass strength parameter identification method and device based on a blasting vibration signal. The method comprises the following steps: acquiring an initial blasting vibration signal; performing preprocessing to obtain a preprocessed blasting vibration signal; component evaluation indexes are calculated through empirical mode decomposition; calculating a strong correlation component signal and a weak correlation component signal; constructing a target blasting vibration signal; calculating a time domain feature vector; calculating a frequency domain feature vector; calculating a time-frequency domain feature vector; constructing an initial joint multi-domain feature vector; performing mutual information principal component analysis on the initial joint multi-domain feature vector to obtain a target joint multi-domain feature vector; constructing a feature information data set; optimizing the random forest model by using a particle swarm optimization algorithm to obtain a rock mass strength parameter identification model; and performing rock mass strength parameter identification by using the rock mass strength parameter identification model. According to the method, rock mass strength parameter identification is realized, the efficiency is improved, and the cost is reduced. The method can be widely applied to the technical field of engineering blasting.

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 discloses an intelligent geological detection while drilling system, and relates to the technical field of underground engineering safety, and the system comprises an intelligent drilling module which is used for drilling field surrounding rock; the hydraulic loading module is used for providing drilling power for the intelligent drilling module; the self-positioning module is used for controlling the drilling action of the intelligent drilling module; the remote control monitoring module is used for collecting while-drilling parameters; and the drilling test module is used for receiving preset control parameters while drilling, driving the intelligent drilling module to drill by controlling the hydraulic loading module and the self-positioning module, receiving the parameters while drilling in the drilling process, and obtaining rock mass strength parameters and rock mass structure characteristic parameters according to inversion of the parameters while drilling. The problems that an existing rock mass mechanical parameter and structural characteristic testing method is high in testing cost, large in worker construction intensity, complex in testing process, incapable of quantifying testing results, free of timeliness and the like are solved.

The invention discloses a modular drill carriage and method capable of rapidly detecting rock mass strength parameters, and relates to the technical field of geotechnical engineering investigation, and the modular drill carriage comprises a continuous drilling subsystem used for drilling field surrounding rock; the hydraulic loading subsystem is used for providing drilling power for the continuous drilling subsystem; the self-positioning subsystem is used for controlling the continuous drilling subsystem to drill at different angles and different heights; and the remote control monitoring subsystem is used for collecting the while-drilling parameters, and after the while-drilling parameters are corrected according to the defined drill bit wear degree coefficient, the rock mass hardness prediction model is adopted to obtain a rock mass hardness prediction value. On-site surrounding rock drilling in all directions and in a high-low position mode under different geological conditions is achieved, meanwhile, while-drilling parameters in the drilling process are monitored and analyzed in real time, and prediction of the accurate value of rock mass hardness under the in-situ condition is achieved.

The invention discloses a method for predicting physical and mechanical parameters of a rock mass based on TSP advanced geological forecast, and belongs to the technical field of geotechnical engineering and advanced prediction.The method comprises the steps that based on the advanced forecast technology of the wave velocity of the rock mass in front of a tunnel face through the TSP method, the visual wave velocity obtained through the TSP method is corrected according to the wave velocity value of the rock mass measured through rock mass acoustic wave testing, and the wave velocity value of the rock mass in front of the tunnel face is obtained; the absolute wave velocity value of the rock mass of the unexcavated section of the tunnel is obtained; meanwhile, the strength parameter of the rock is actually measured through a rock point load test, and the strength parameter of the rock mass in front of the tunnel face is predicted according to the rock strength parameter and the rock mass wave velocity. The TSP forecasting function is fully excavated by using a theoretical formula and an empirical formula, and the physical and mechanical parameters of the rock mass in front of the tunnel face within the TSP testing range are accurately predicted. The method provided by the invention has the advantages of simplicity, convenience, rapidness, economy, high accuracy and the like, endows a new function for the TSP detection method, and can provide an effective means for predicting the physical and mechanical parameters of the tunnel rock mass.

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 relates to the technical field of ore lumpiness analysis, in particular to an ore blasting lumpiness analysis and prediction method. Determining the friction angle and cohesion influenced by the humidification effect and the freeze-thaw effect in the weather state; determining a friction angle correction parameter and a cohesion correction parameter in the Drucker-Prager model according to the friction angle and the cohesion, substituting the parameters into a yield function, judging whether the rock mass yields or not, and determining whether the current rock mass is fractured or separated or not; establishing a dynamic equation through a finite element method to determine the dynamic response of the rock mass under blasting load and environment loading; and judging whether the rock mass is damaged and cracks are generated or not in a stress state based on a crack propagation criterion, and predicting the blasting lumpiness according to the cracks of the rock mass. On the basis of a Drucker-Prager model, a rock mass strength parameter is corrected by introducing a humidification effect and a freeze-thaw effect, a blasting kinetic equation is established in combination with a finite element method, a dynamic response and a fracture extension mode of a rock mass under blasting load and environment loading are predicted, and the current mine blasting fragmentation prediction precision is improved.

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 invention discloses a cut blasting method, and relates to the technical field of tunneling, a first cut hole extends from a rock mass area related to a current excavation cycle to a rock mass area related to a next excavation cycle, after a first excavation cycle is completed, a sub-surface has a temporary cavity in each subsequent excavation cycle process, and a second cut hole extends from the rock mass area related to the next excavation cycle to the rock mass area related to the next excavation cycle. The crustal stress on the boundary of the temporary cavity is released to cause the crustal stress redistribution of the rock mass in the region involved in the next excavation cycle, so that the temporary cavity forms a pressure stress concentration region in the minimum principal stress direction, and the strength of the rock mass in the region involved in the next excavation cycle is reduced; the temporary cavity and the rock mass damage area can be used for assisting in completing rock breaking excavation in the subsequent excavation cycle, and the amount of explosives needed in the whole excavation process is reduced; and the blasting parameters of the slotting hole group required by the next excavation cycle can be adjusted in a targeted manner according to the geometric parameters, so that the problem that the slotting area is formed too large or too small due to blind reduction of the explosive quantity is solved, and the forming quality of the slotting area is ensured.

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 deep-buried tunnel rockburst-collapse composite disaster area identification method, which comprises the following steps: S1, obtaining a collapse tendency evaluation index based on passive source tendency evaluation of a rock mass basic quality grading index; s2, judging whether a transition section of a fractured rock mass and a complete rock mass exists or not according to geological conditions of the evaluation area, and correcting ground stress; s3, performing active source tendency evaluation based on a rock mass strength-stress ratio to obtain a rockburst tendency evaluation index; s4, identifying a potential rockburst-collapse composite disaster area and a rockburst or collapse single disaster type disaster area according to the rock mass quality grade value and the rock mass strength-stress ratio; according to the method, the deep-buried tunnel rockburst-collapse composite disaster area is identified based on the rock mass quality grade and the rock mass strength-stress ratio, and a scientific disaster area identification basis is provided for deep underground engineering with strong tectonic stress and large stratum variability.

The invention relates to the technical field of rock tunneling, and discloses a method and a device for intelligently evaluating the cuttable property of roadway surrounding rock. The method comprises the following steps: acquiring initial drilling main control parameter data of roadway surrounding rock, preprocessing the initial drilling main control parameter data, and dividing the preprocessed drilling main control parameter data into a training data set and a test data set; constructing a multi-source information fusion prediction model according to the training data set, and verifying the theoretical solution of the rock mass strength to obtain a predicted solution of the rock mass strength; constructing a rock mass parameter model according to the predicted solution of the rock mass strength, and predicting the roadway surrounding rock to obtain predicted values of rock mass parameters; and constructing a rock mass cuttability prediction model according to the predicted values of the rock mass parameters, and predicting the test data set to obtain a rock mass cuttability grade value prediction result of the roadway surrounding rock. According to the method, rapid real-time grading of the cuttability of the rock mass in the drilling test area can be achieved, engineering construction is guided, the construction efficiency is improved, and the construction cost is reduced.

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.