401 results about "Structural plane" patented technology

The invention relates to the technical field of geological disaster prevention and control, in particular to a rock engineering slope stability classification method. According to the technical scheme, the method comprises the following steps: obtaining spatial distribution characteristics of a slope structural plane through combined detection of three-dimensional laser scanning and a geological radar, and establishing a quantitative index system containing occurrence, density and connectivity of the structural plane; the method comprises the following steps: acquiring a fracture signal in a slope in real time by adopting a micro-seismic monitoring system, and extracting a micro-seismic event energy release rate, a dominant frequency offset and a seismic source mechanism parameter through time-frequency analysis; and constructing a geologic structure evolution inversion model, reconstructing a geologic structure evolution process based on the regional geologic database and the field drilling data, and calculating the distribution characteristics of the residual stress field of the structure. According to the method, comprehensive, accurate and real-time monitoring and classified evaluation of the rock engineering slope stability are realized, potential risks can be effectively predicted, a scientific and accurate decision basis is provided for slope support and treatment, and the safety and stability of the rock engineering slope are greatly guaranteed.

The present invention relates to the technical field of tunnel rockburst microseismic monitoring, and provides a strain-structural plane slip-type rockburst failure mechanism analysis method for a drill-and-blast method tunnel. The present invention collects strain-structural plane slip-type rockburst microseismic data during tunnel construction; in light of engineering geological survey data, performs microseismic monitoring and data analysis on strain-structural plane slip-type rockburst that has occurred in a tunnel, divides a strain-structural plane slip-type rockburst risk area, and determines a microseismic rockburst early warning area; and, by means of these data, deeply understands a microseismic activity law of strain-structural plane slip-type rockburst of deep-buried drill-and-blast method tunnels, discriminates respective functions of tensioning and shearing in rock failure processes, comprehensively analyzes the failure mechanism of strain-structural plane slip-type rockburst, and further obtains the failure mechanism of strain-structural plane slip-type rockburst of the deep-buried drill-and-blast method tunnels, providing an important theoretical basis for predicting and preventing rockburst disasters.

The invention provides a deep geologic body occurrence characteristic quantitative representation modeling method and system, and the model focuses on the multi-physics field occurrence environment of rock mass material composition, structural characteristics, stress distribution and the like under the continuous mining condition of a deep underground metal mine. An information expression framework capable of crossing a'microcosmic-experimental-engineering 'multi-level spatial scale is constructed, microcosmic rock core mineral components and crack information, laboratory mechanical response parameters and structural surface shear characteristics and macroscopic fault system and stress disturbance data reflected by microseismic events are introduced, a heterogeneous data fusion method is comprehensively applied, and a microcosmic-experimental-engineering multi-level spatial scale is constructed. A three-dimensional tensor model with dynamic evolution capability and physical interpretation capability is established, high-precision, dynamic and multi-scale comprehensive modeling of a complex deep geologic body occurrence environment is realized, and the model has the characteristics of clear information hierarchy, high fusion precision, strong physical interpretability and the like. And dynamic perception and scientific research and judgment of geologic mass mechanics and structure states can be realized in a complex deep environment.

The invention relates to the technical field of mine safety monitoring, and discloses a roadway surrounding rock stability evaluation method, which comprises the following steps: step 1, collecting roadway surrounding rock geological data, step 2, constructing a three-dimensional geomechanical model, step 3, inverting mechanical parameters, step 4, calculating a stability coefficient, and step 5, outputting an evaluation result. According to the method, rock mass types, structural plane occurrence, crustal stress vectors and permeability parameters are integrally collected through geological radar scanning, drilling coring and crustal stress measuring devices, the problem of model distortion caused by single data in a traditional method is solved, deformation of a stress concentration area is accurately captured by adopting a non-uniform grid division strategy, inversion mechanical parameters are combined, and the method is suitable for large-scale popularization and application. The network is trained by using in-situ direct shear and triaxial test data, the inversion efficiency is improved compared with manual trial and error, the whole surrounding rock fracture process is simulated based on a finite element-discrete element coupling algorithm, plastic zone distribution and a comprehensive index S are output, and automatic judgment of the stability level is realized.

The invention discloses a spatial registration method for tunnel multi-source heterogeneous data, and the method comprises the steps: constructing a lightweight digital twinborn model based on a design parameter library, a construction log library and a real-time monitoring library; mapping the multi-source sensor data in the real-time monitoring library to a digital twin model space node through a space-time synchronization algorithm; probability distribution model-based abnormal value elimination is performed on the geological exploration data, the while-drilling parameters and the geological sketch, and a discrete smooth interpolation algorithm is adopted to generate a surrounding rock mechanical parameter three-dimensional distribution field; the surrounding rock mechanical parameter three-dimensional distribution field serves as input, and front surrounding rock classification probability distribution is dynamically predicted through a machine learning model optimized through transfer learning; based on the three-dimensional point cloud data of the tunnel face in the digital twin model, extracting geometric parameters of the structural plane and constructing a fracture network model constrained by a normal vector; according to the method, the surrounding rock risk location is accurately positioned based on double-threshold triggering, and multi-scale model seamless fusion is realized through gradient constraint topology fusion.

The invention relates to the technical field of mining, and discloses a method for determining pre-splitting blasting parameters for mining blasting, which comprises the following steps of: 1, acquiring rock mass structure information of a blasting area through three-dimensional geological radar, laser radar and shallow seismic reflection data, and constructing a structural plane distribution map containing a soft and hard interbed and joint combination mode; 2, initial presplitting blasting parameters are generated based on the structural plane distribution map, wherein the initial presplitting blasting parameters comprise the hole distance, the linear charge density and the charge structure; according to the method, the technical scheme that the structural plane distribution map is constructed through multi-source geological data fusion and digital twinborn simulation dynamic correction is adopted, so that the technical effects that the influence of a complex structure combination on blasting energy transfer is accurately quantified, and the presplitting path control precision is remarkably improved are achieved; compared with the technical scheme depending on a static rock mass model or an empirical formula in the prior art, the defects of presplitting path offset and serious parameter mismatch caused by the fact that modeling is not carried out due to the dynamic effect of the structural plane are overcome.

The invention discloses a spherical crown dome horizontal circumference drilling and blasting parameter model optimization construction method, and the method comprises the steps: collecting geological, crustal stress, hydrological and structural plane data, building a three-dimensional geological information model, carrying out the working condition partitioning based on a surrounding rock quality evaluation index, and constructing a parameter probability distribution model and an uncertainty boundary of each partition. Therefore, precise space description and parameter variability quantification of the spherical crown dome construction area are realized. The method comprises the following steps: establishing a three-dimensional numerical model of a cavern group, integrating blasting power, seepage and stress multi-physical field effects by adopting a finite element-discrete element coupling method, introducing a surrounding rock deterioration constitutive model considering cumulative damage and unloading aging, calibrating key parameters through an indoor test and field trial explosion, and establishing a three-dimensional model of the cavern group. And the numerical model can truly reflect the mechanical property degradation track of the surrounding rock under repeated blasting disturbance.

The invention provides an automatic identification method and system for a linear structural plane in a complex rock mass outcrop, and belongs to the field of rock mass engineering, and the method comprises the steps: obtaining a DeepLabV3 + model of a rock mass outcrop image, carrying out the semantic segmentation of an input image, outputting a binary mask image of the trace pixel of the structural plane, and carrying out the topology reconstruction; establishing a mapping relation between the image coordinate system and the three-dimensional point cloud; calculating a space included angle between the direction vector of the trace and the average occurrence of the structural plane groups, classifying the three-dimensional point cloud data according to the structural plane groups according to an angle threshold value, and performing three-dimensional line segment extraction by adopting an improved iterative Hough transform algorithm; and realizing global multi-segment connection and trace length calculation of discrete segments based on a greedy algorithm. The method breaks through the limitation of a topographic region when the rock mass structural plane data is obtained through manual measurement, and improves the precision and efficiency of structural plane extraction in the complex rock mass.

Provided is a method for judging geology of a time-delayed extremely intense rockburst as to deep tunnel engineering. Information about geological structures is recorded according to methods such as geological mapping and advanced geological prediction of the tunnel face. Geometric characteristics of burst craters formed during the rockburst are recorded by utilizing advanced geological drilling and profile scanning technologies in a rockburst-damaged zone. 3D geostress in the rockburst-damaged zone is measured by using a stress relief method or a hydraulic fracturing method to determine the orientation of the maximum principal stress. A 3D numerical calculation model is established based on initial geostress testing results and physical and mechanical parameters of rock and structural discontinuities obtained through on-site geological investigations. By conducting excavation simulations under different combinations of structural discontinuities and performing numerical calculation, the risk of time-delayed extremely intense rockburst disasters at current locations after tunnel excavation is judged.

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 a seismic source inversion and clustering reconstruction integrated unstable structural plane identification method and system, and the method comprises the following steps: obtaining original sound wave data, carrying out the positioning calculation and seismic source mechanism inversion of the original sound wave data, and obtaining coal rock fracture source core parameters directly related to fracture; calculating a fracture penetration possibility index BCI in combination with the standardized fracture volume, the seismic source radius and the spatial distance; the similarity between the fractures is calculated according to the multi-dimensional features of the fractures, and density clustering is conducted on the fractures through a DBSCAN clustering algorithm; by calculating a fracture and penetration possibility index value on each fracture cluster, the fractures with relatively high fracture and penetration possibility indexes are screened out, so that a potential instability surface is identified; generating a macroscopic instability surface by adopting a B-spline surface fitting algorithm; a control point is selected through a principal component analysis method to determine a fracture main direction, a B-spline curve is constructed based on fracture distribution to generate a boundary contour, and a B-spline algorithm is used for accurately fitting an unstable structural surface.

The invention discloses a structural plane ring shear creep test method under real-time water pressure rise and fall and dry-wet cycle action, which comprises the following steps: S1, applying shear stress step by step to a preset peak strength ratio by adopting a constant normal stress and shear stress graded loading mode; s2, under the working condition of loading each stage of shear stress, performing dry-wet cycle and / or water pressure rising and falling cycle operation synchronously; s3, based on test data, analyzing creep deformation characteristics, long-term strength and failure rules of the structural plane; the device synchronously simulates reservoir water level rising and falling and dry-wet circulation in a ring shear creep test, and can be applied to long-term stability prediction and control measure optimization design of reservoir bank rock slopes and other rock shear tests needing to simulate water pressure change and dry-wet circulation conditions.

The invention provides a high and steep slope dangerous rock mass instability mode judgment method and system, and belongs to the field of rock mass engineering, dangerous rock mass point cloud data of a target area is obtained, neighborhood point searching is performed on point clouds at different positions of a slope according to coordinate information in the dangerous rock mass point cloud data, plane fitting and coplanarity testing are performed on neighborhood points, and a dangerous rock mass instability mode judgment result is obtained. And merging the coplanar point sets, and calculating to obtain the inclination and the inclination angle of the structural plane according to the point sets. And clustering and grouping the structural surfaces, fitting the structural surfaces and performing intersection calculation. Point-surface calculation and analysis are carried out by combining topographic features of the high and steep slope, geometric morphology of the rock mass and development conditions of structural surfaces, the dangerous rock mass is positioned, the damage mode of the dangerous rock mass is identified, the judgment accuracy is improved, the damage mode of the slope rock mass is finely divided, and disaster prevention and reduction work of rockfall disasters of the high and steep slope is facilitated.

The invention discloses an altered rock mass engineering geologic feature rapid identification method, and belongs to the technical field of engineering rock mass identification. Comprising the steps of obtaining topographic data of a rock mass feature region to be recognized, obtaining an earth surface plane model by fitting the topographic data, and generating a three-dimensional route based on the obtained earth surface plane model; controlling the unmanned aerial vehicle to fly close to the surface of the rock mass through the three-dimensional route, and shooting an image according to a preset position; performing data preprocessing on the shot image, performing image segmentation on the preprocessed image, and constructing a structural plane occurrence data set; and performing data processing based on the structural plane occurrence data set, and obtaining a rock mass feature recognition result through an FCM-WOA algorithm of structural plane occurrence automatic clustering and grouping. According to the method, the normal vector robust estimation method is optimized to improve the region growth efficiency and accuracy of the rock mass structural plane, the region growth algorithm is improved to optimize the initial structural plane recognition result, and the rock mass structural plane is quickly and accurately recognized from mass point cloud data of the rock mass outcrop.

The invention relates to the technical field of rock mass engineering, in particular to a soft rock structural surface permeation grouting evolution analysis method which comprises the following steps: performing a steady-state shear thinning inversion test on target slurry by using a rotational rheometer to obtain slurry performance parameters; a permeation grouting displacement test is conducted on the soft rock structural surface, and grouting parameters in the grouting process are obtained; determining grouting main section parameters of the soft rock structural surface, and constructing a grouting diffusion numerical value prediction model based on the grouting main section parameters; based on the slurry performance parameters, the grouting parameters and the grouting diffusion numerical value prediction model, establishing a simulation model of the target slurry; and performing test-simulation parameter comparison on the permeation grouting displacement test and the simulation model, and determining a grouting evolution characterization model for analyzing grouting flow pattern evolution and diffusion fluidization. According to the method, the accurate simulation model and the grouting evolution characterization model are established and optimized by combining actual measurement parameters in the test, so that the grouting process is optimized, and the engineering safety and economy are improved.

The invention provides a water bank slope structural surface rock mass shear creep test system and method under a dry-wet cycle, relates to the technical field of rock mechanical property test, and aims to accurately reproduce a dry-wet cycle-stress coupling working condition of a rock mass structural surface under a complex environment. In the device, the direct shear apparatus comprises a loading frame and a loading and sliding device mounted on the frame, and provides a stable mechanical loading basis for a test; the shear box is used for accommodating a rock sample containing a structural surface, and the lower shear box adopts a lengthened design, so that the shear area in the whole shear process can be ensured to be constant; the dry-wet cycle environment simulation cabin is fixed in the loading frame, hermetically wraps the shear box and is integrated with a water soaking subsystem and a drying subsystem, the water soaking subsystem can adjust the water level height and water pressure in the simulation cabin, and the drying subsystem can dry a rock sample, can reproduce the sun illumination radiation condition and is matched with the water soaking subsystem to realize periodic dry-wet cycle; and the coupling effect of dry-wet cycle and mechanical loading is realized.

The invention relates to the field of rock mass structural surface recognition, in particular to a high and steep slope rock mass structural surface intelligent recognition method based on double clustering. According to the method, high-precision image data of a high and steep slope is obtained through an unmanned aerial vehicle approaching photogrammetry technology, and a three-dimensional digital model of the high and steep slope is constructed by utilizing a three-dimensional reconstruction and calculation technology. And calculating normal vectors of all triangular surfaces based on the triangular surface vertex information of the model, and performing clustering analysis to divide structural surface groups with similar occurrence. And further performing clustering analysis according to the surface center coordinates of the triangular surface, and dividing to obtain the structural surface. And finally, calculating the inclination angle, inclination direction and trend data of the structural surface through an accurate mathematical model. According to the method, the flexibility and the safety of high and steep slope structural plane measurement operation are enhanced, a measurement area of any scale can be completely covered, objective, accurate, rapid and low-cost structural plane intelligent identification and attitude data acquisition are realized, and the method has important significance in engineering application related to high and steep slopes.

The invention discloses a rock quality index calculation method, system and device and a medium, and the method comprises the steps: determining a three-dimensional point cloud in response to a rock mass quality index calculation request; determining three-dimensional point cloud reconstruction data based on the distance between the three-dimensional point cloud and the fitting plane, and generating a three-dimensional point cloud image based on the three-dimensional point cloud reconstruction data; segmenting a surrounding rock structural surface of the three-dimensional point cloud picture; constructing a first roadway surrounding rock three-dimensional body which does not contain a surrounding rock structural surface; determining a second area corresponding to the surrounding rock structural plane in the three-dimensional point cloud reconstruction data according to the first area of the surrounding rock structural plane in the three-dimensional point cloud picture, and fitting the three-dimensional point cloud reconstruction data of the second area to form a structural plane equation; segmenting the first roadway surrounding rock three-dimensional body for the first time according to a structural plane equation to obtain a second roadway surrounding rock three-dimensional body containing a surrounding rock structural plane; the second roadway surrounding rock three-dimensional body is subjected to second segmentation, the rock mass quality index is calculated according to the second segmentation result, and high efficiency and lossless measurement of the rock mass quality index can be achieved.

The invention discloses a multilevel rock mass mechanical analysis method and system based on near field dynamics, and the method comprises the steps: generating a mica-matrix binary model matched with actual granite based on a K-L random field, mapping the model to a BB-PD model mass point through a DIP method, determining the distribution, the particle size and the content of mica, and determining the particle size of the mica; the mechanical weakening effect is simulated by reducing the normal and tangential stiffness of the mica phase, and the microstructure characterization of the rock is completed. Constructing a structural plane PD numerical model by combining the geometrical characteristics of the structural plane reconnaissance on site and the mechanical parameters of the indoor direct shear test, and analyzing the influence of the geometrical and mechanical characteristics of weak planes such as joints and fractures on the local mechanical properties of the rock mass; the method comprises the following steps of: constructing an engineering scale rock mass numerical model integrated with mechanical properties of a microscopic rock block and a microscopic structural surface by relying on field rock mass discontinuous surface distribution data and indoor test basic mechanical parameters, and finishing analysis on the influence of the overall mechanical properties of the engineering scale rock mass; and the problems of insufficient cross-scale collaboration and the like are solved.

The invention provides a multilevel feature analysis method of a three-dimensional geologic structural plane and related equipment, and the method comprises the steps: carrying out the modeling of a geologic body structural plane according to the coordinates of a known point on the constructed geologic body structural plane, so as to construct a geologic trend plane, and extracting a remaining trend plane from the geologic body structural plane; determining a radial basis function in the initial implicit function of the geological trend surface and solving a linear coefficient item to obtain an implicit function of the geological trend surface including smooth item constraint; adjusting a weight constrained by a smooth item in the implicit function of the geological trend surface to obtain a multistage trend surface feature function of the geological structural surface, and substituting the multistage trend surface feature function into position coordinates of all points on the geological body structural surface to obtain a feature implicit function value corresponding to each point; and based on the feature implicit function values corresponding to all the points, a multi-level feature analysis result of the geologic body structural plane is obtained, and the problem of accurate fitting of the three-dimensional geologic structural plane under the condition that the known points are few is solved.

The invention discloses a steep cliff three-dimensional modeling method and system based on structural plane constraint, and relates to the technical field of three-dimensional geographic information system.The steep cliff three-dimensional modeling method comprises the steps that steep cliff area geological data including steep cliff multi-view images and steep cliff surface dense point cloud data are collected, and a geological prior knowledge base is constructed; an image recognition technology is used for processing a steep cliff multi-view image, point cloud geometric analysis is combined, and the structural plane spatial orientation including a rock stratum interface and a joint plane is recognized. According to the method, geological priori knowledge is fused, the geometric distortion problem of a traditional digital elevation model in a cliff area is effectively solved, the spatial orientation of a rock stratum interface and a joint surface is extracted by using an image recognition technology, and the spatial orientation is used as a hard constraint condition to construct a control triangulation network framework; the problems of forced smoothing errors of a regular grid DEM and a suspended surface of a triangular irregular network are avoided, and the rock stratum structure, the crack distribution and the dangerous rock body form of the cliff can be precisely restored through the self-adaptive triangulation algorithm.

The invention discloses a tunnel rock-soil deformation identification method and system, relates to the technical field of tunnel and underground engineering monitoring and early warning, and remarkably improves the reliability and timeliness of tunnel weak surrounding rock deformation risk identification. In the abrupt change response link, a time domain convolutional network and a displacement acceleration self-adaptive strengthening mechanism are introduced, so that the capturing capability of the system on nonlinear displacement surge is improved in a leap-over manner; according to the method, the acceleration component is focused and the physical constraint weight is applied, so that the sudden change event is locked in real time, and accidents such as unstability of the tunnel face are prevented from being missed in report; in order to solve the problem of point cloud registration distortion of a joint development area, the geological law of a rock mass structural plane is fused into a registration algorithm, and overall deformation misjudgment caused by rock mass local dislocation is inhibited from the source through a Gaussian mixture model coupling normal elastic deformation threshold and a tangential coulomb friction criterion; the measurement precision of laser scanning in a fracture zone and a fault zone breaks through environmental limitation, and a reliable basis is provided for supporting decision.

The invention belongs to the technical field of three-dimensional geologic modeling, and particularly relates to a three-dimensional modeling method for a structural plane based on strike control and occurrence constraint, which comprises the following steps of: extracting strata, fault strike lines and occurrence data based on a plane geologic map of a modeling target area, and extracting coordinates and azimuth angles of points on the strike lines through a curvature-constrained equal-interval sampling method; generating layer control points in batches by changing the sampling depth in combination with occurrence data; expanding a layer control point set by utilizing a stratum or fault layering point disclosed by a drill hole or a geological section, and further creating an irregular triangulation network of a structural plane; and extracting a structural surface intersection line by adopting a collision detection algorithm, reconstructing a stratum contact relation and a fault network space topological relation, finally obtaining a layer data file of the structural model, and completing data storage and three-dimensional visualization of the model. According to the method, the model of the structural plane such as the stratum and the fault can be quickly established, the spatial topological relation is reconstructed, and data file generation and three-dimensional visualization of the structural model are realized.

The invention discloses a rock mass structural plane parameter calculation method based on a drilling surrounding rock expansion map. The method comprises the steps that a deep learning semantic segmentation network is built to automatically recognize cracks in a drilling surrounding rock hole wall two-dimensional expansion map; processing the segmented fissure image of the pixel level, and eliminating miscellaneous points which interfere with subsequent operation and small fissures which do not influence the integrity of the surrounding rock; extracting a fracture skeleton line, and eliminating burrs on the skeleton line; for fractures with cross structures, adopting a fracture skeleton decoupling algorithm fusing topological connectivity and vector geometry criteria to adaptively separate the fractures; an implicit space mapping method based on a crack pixel sequence is adopted, non-modeling extraction of structural plane space geometric parameters in a borehole expansion diagram is achieved, and the structural plane space geometric parameters comprise the included angle between the structural plane trend and the hole axis and the structural plane dip angle. According to the method, the geometric features of the internal structural surface of the surrounding rock can be quantitatively represented, and the quantitative results are all within the allowable range of actual engineering errors.

The invention discloses a numerical simulation method for a shear test of rock mass structural surfaces with different roughness, and belongs to the technical field of metal mine mining methods. According to the technical scheme, five typical structural plane contour lines are selected as models, a joint roughness coefficient JRC is checked by solving a root-mean-square Z2 of discretized mesoscopic node coordinates on a structural plane curve, and a check result is taken as a selected joint roughness coefficient JRC value to carry out a triaxial compression numerical simulation experiment; constructing a numerical model of a three-axis compression numerical simulation experiment of rocks penetrating through the structural plane with different roughness, and selecting structural plane model features and parameters; analyzing the influence of the roughness and the friction angle on the mechanical property of the structural surface; and carrying out structural surface shear strength comparison verification of different strength criteria and equivalent internal friction angle parameter verification analysis of structural surfaces with different roughness on a simulation result. According to the method, the interference of test equipment and uncertain factors is reduced, many factors which are not considered in tests are considered, and the numerical simulation result is more scientific and reasonable.

The embodiment of the invention provides a method and device for recognizing a rock mass structural plane. The method comprises the following steps: in response to an obtained photo control point geodetic coordinate and an aerial survey photo about a target area, generating a three-dimensional entity model about the target area through an image data processing rule based on the photo control point geodetic coordinate and the aerial survey photo; in response to a two-dimensional image map extracted from the aerial survey photo, inputting the two-dimensional image map into a pre-trained neural network, and identifying the two-dimensional image map by the pre-trained neural network to obtain a corresponding structural surface two-dimensional contour; associating the two-dimensional contour of the structural plane to a three-dimensional entity model through a space mapping algorithm, and generating a three-dimensional structural plane edge contour; and carrying out geometric fitting on the edge contour of the three-dimensional structural surface to obtain the structural surface size and occurrence parameters of the target area. By utilizing the method disclosed by the embodiment of the invention, the spatial orientation and size parameters of the structural plane can be accurately solved.

The invention discloses a non-linear analysis method in a multi-arch structural plane considering translation and rotation of arch feet. The non-linear analysis method comprises the following steps: 1) deducing a geometric non-linear equilibrium equation in the multi-arch structural plane under the action of a vertical uniformly distributed load; 2) introducing a multi-arch boundary condition, and deducing to obtain a vertical displacement approximate analysis in a balance path considering translation and rotation nonlinearity of an adjacent arch structure; 3) further obtaining a relational expression between the dimensionless load of the multiple arches and the dimensionless load parameters; 4) deducing a multi-arch nonlinear branch point buckling equilibrium differential equation, and obtaining a critical load approximate analysis according to an internal force condition of multi-arch branch point buckling; 5) deducing to obtain approximate analysis of the multi-arch nonlinear jump buckling critical load.By means of the method, complex solving through finite element software can be avoided, and the calculation cost and workload of multi-span arch structure analysis are reduced.

The invention relates to the technical field of rock mass engineering, in particular to a rock mass structure information intelligent extraction method based on point cloud data, and the method comprises the steps: reconstructing a three-dimensional point cloud model based on three-dimensional point cloud data; the optimal neighborhood of the target point cloud in the three-dimensional point cloud model is calculated to complete rock mass structural surface recognition; fitting the optimal plane of the target point cloud, calculating the normal vector of the target point, determining the optimal group of the dominant structural plane through the effectiveness evaluation index, and completing the clustering of the rock mass structural plane; and carrying out automatic extraction on rock mass structural plane information, carrying out reclassification on each group of clustered rock mass structural planes in combination with the distance from the optimal fitting plane of each point cloud to the original point, and constructing a three-dimensional structural plane network model of the rock mass according to the extracted rock mass structural plane information. The method can effectively ensure that the edge data of the structural surface is not missing, and avoids the problem that the clustering result of the structural surface is inaccurate due to the insufficiency of a local optimal solution.

The invention relates to the technical field of computational mechanics, in particular to a DDDA-based circle-circle contact interface non-occlusion sliding numerical simulation method, which comprises the following steps: constructing a non-occlusion joint model; establishing a circular unit-non-occlusion joint initial correlation; establishing a DDDA total balance equation; applying a non-occlusion contact constitutive to the associated circle unit contact; and solving the model to obtain the non-occlusion sliding process of the circle-circle contact interface. According to the invention, the non-occlusion sliding process of the circle-circle contact interface is realized, so that the sliding simulation result of the structural surface better conforms to the real mechanical response of the structural surface, and a more convincing numerical analysis tool is provided for the sliding process analysis of slope stability, the slip instability prediction of underground engineering surrounding rock along a weak surface and other key engineering problems. And the method has great engineering application value.

The invention belongs to the technical field of machine learning, and discloses an open-air rock mass automatic exploration method and system based on an artificial intelligence large model. Processing a feature image of the source image, the selected reference image and camera parameters used for acquiring image data of the target open slope rock mass based on an MVS algorithm, and constructing a three-dimensional view model; after a three-dimensional view is converted into point cloud data, clustering segmentation and plane fitting are carried out on the point cloud data based on a CFSFDP algorithm, an RANSAC algorithm and normal vectors of all points, the structural surface can be accurately recognized, a rock mass volume joint number Jv is calculated, a rock mass basic quality index BQ is obtained by combining a rock hardness degree index Rc, and the rock mass basic quality index BQ is corrected. And a scientific basis is provided for a rock mass quality exploration report. According to the method, the accuracy and efficiency of rock mass quality evaluation are improved, and powerful support is provided for design and construction of rock mass engineering.