419 results about "Rock slope" patented technology

The invention discloses a rock slope risk assessment method and system based on artificial intelligence, and belongs to the technical field of geological disaster risk assessment.The rock slope risk assessment method comprises the steps that a slope three-dimensional digital model is constructed, and geological-environment-monitoring data are integrated; extracting spatio-temporal characteristics, and predicting a landslide risk probability; quantifying a risk space diffusion path, and identifying a high-risk area; the early warning threshold value is dynamically adjusted, and accurate early warning is achieved; the problems that in the prior art, how to integrate multi-modal data (geological data, environment data and monitoring data) to achieve real-time sensing of the slope state and how to construct a deep learning model with high generalization ability to deal with risk prediction under the complex geological condition are solved. The problem of how to establish a risk transfer model considering spatial heterogeneity to improve high-risk area identification precision and how to realize dynamic adaptive adjustment of an early warning threshold to match personalized risk features of different slopes is solved.

The present invention relates to the technical field of mine rock slope analysis, and in particular to a freeze-thaw damage analysis method and system for mine rock slopes. The method comprises the following steps: selecting mine rock slope samples, performing freeze-thaw cycle tests on the mine rock slope samples, and obtaining rock freeze-thaw test information; on the basis of the rock freeze-thaw test information, setting displacement analysis indices, and on the basis of the displacement analysis indices, obtaining displacement variations of rock slopes under freeze-thaw cycles; on the basis of the rock freeze-thaw test information, analyzing plastic damage conditions and mine safety coefficients of the rock slopes under the freeze-thaw cycles; on the basis of the rock freeze-thaw test information, establishing a stress analysis model, and by means of the stress analysis model, obtaining stress distribution conditions of the rock slopes under the freeze-thaw cycles; and by combining the displacement variations, the plastic damage conditions, the mine safety coefficients and the stress distribution conditions, analyzing damage results of the mine rock slopes. In the present invention, multi-objective analysis of freeze-thaw damage conditions of mine rock slopes is performed, thereby ensuring the stability of the rock slopes.

The invention relates to the technical field of fracture network fracture water channel identification, and discloses an identification method for analyzing a dominant flow channel in a three-dimensional fracture network based on a topological network. According to the method, probability distribution parameters such as geometric occurrence, gap width and density of a rock mass multi-scale fracture system in a target area are obtained through field surveying and mapping and three-dimensional scanning, and a spatial topological structure of the three-dimensional fracture system is reconstructed by adopting Monte Carlo method simulation and discrete fracture network modeling technology; secondly, abstracting the fracture network into a three-dimensional topological graph model based on a graph theory principle, defining fracture center points and cross points as graph nodes, and converting fracture sections into weighted edges; the method breaks through the continuous medium hypothesis limitation of traditional seepage analysis, and has important engineering application value in the fields of deep geological energy storage reservoir seepage risk assessment, shale gas fracture network optimization design, rock slope stability analysis and the like; compared with a traditional numerical simulation method, the method has the technical advantages of being high in calculation efficiency, good in prediction precision, high in multi-scale applicability and the like.

The invention relates to the technical field of rock monitoring, in particular to a safety monitoring method and system for a rock slope, which is characterized in that an abnormal focusing area is generated through gradient change and density sudden change judgment, a basic entrance for early risk identification is constructed, the positioning accuracy of a crack sensitive section is enhanced, and the safety of the crack sensitive section is improved. The identification precision and the dynamic intervention capability of the potential risk area of the rock slope are enhanced, the linear features of the boundary response are extracted through the convolutional neural network, the identification and the reconstruction of the crack main extension path are realized, and the method combines the direction sorting and the structure continuity analysis to improve the reliability of the crack main extension path. Closed fitting and stable connection node labeling of a crack path are completed, a traceable structural framework is provided for subsequent trend analysis, dynamic modeling of crack migration evolution is achieved through comparison recognition of a displacement direction and an angle abrupt change point, a closed path grid can be constructed in a crack direction reversal area, and the dynamic modeling of crack migration evolution is achieved. And the dynamic response layout of the crack control structure is realized.

The invention discloses a landslide risk area identification method and system of a rock slope and a medium, and relates to the field of slope engineering, and the method comprises the steps: building a three-dimensional geologic model of a target rock slope; obtaining side slope parameters of the target rock side slope; determining a potential landslide risk area of the target rock slope according to the unfavorable combination of the slope parameters, and marking the potential landslide risk area on the three-dimensional geologic model; grading the rock mass quality in the potential landslide risk area, and reducing the potential landslide risk area according to a rock mass quality grading result to obtain a first landslide risk area; cooperatively monitoring the first landslide risk area by using a micro-seismic monitoring system, an anchor cable stress meter and an inclinometer, and reducing the first landslide risk area according to a monitoring result to obtain a second landslide risk area; and carrying out slope landslide mode mechanical analysis on the second landslide risk area by adopting a numerical simulation method, and determining the position of the final landslide risk area according to an analysis result. The identification accuracy of the landslide risk area of the rock slope is improved.

The invention discloses a rock-soil slope intelligent monitoring and early warning system based on the Internet of Things technology, which comprises a sensor module, a data acquisition module, a data analysis module, a cloud computing module, a data visualization module, a three-dimensional model display module, an intelligent inspection module and an early warning module, and is characterized in that the data acquisition module is used for collecting and preprocessing monitoring data; the data analysis module is used for analyzing the preprocessed real-time monitoring data; the data visualization module is used for generating a self-defined report and historical simulation data; the three-dimensional model display module is used for real scene fusion display; and the early warning module is used for automatically triggering an early warning mechanism when abnormal data is detected, and evaluating the risk level of the rock-soil slope in real time. The system monitors various deformation key parameters of the rock-soil slope in real time, predicts potential landslide and settlement problems through an advanced data analysis algorithm, and provides a visual user interface and an early warning system at the same time to improve the safety and economic benefits of slope engineering.

The invention relates to a rock slope support model construction scheme generation method and device, equipment and a medium. According to the method, a three-dimensional geological model fusing geological information and rock mass parameters is constructed, an initial damage field is obtained in combination with micro-seismic monitoring data and statistical learning inversion, and then a constitutive model capable of reflecting the damage and plastic coupling evolution law is established and calibrated; the model is used for dynamically predicting a spatio-temporal evolution path of a potential slip plane in the excavation process, the supporting opportunity and position are accurately judged based on the stress and damage state in the path, a spatio-temporal sequence scheme is generated, and finally optimal supporting parameters are solved through the multi-objective optimization model. And finally, a set of dynamic support construction scheme capable of actively controlling damage development and giving consideration to safety and economical efficiency is integrated and output, technical spanning from passive reinforcement to active intervention and from static design to dynamic optimization is achieved, and the accuracy and reliability of slope support are effectively improved.

The invention discloses an ecological restoration method for a bare rock side slope in a high and cold arid area, and belongs to the technical field of ecological restoration, the ecological restoration method for the bare rock side slope in the high and cold arid area comprises the following steps: (1) side slope pretreatment: firstly, mechanically chiseling a bare rock slope surface to form micro holes; a rhombic iron gauze is laid and anchored; (2) spray-seeding an anti-freezing and thawing base material to ensure that the base material uniformly covers the slope surface; wherein the freeze-thaw resistant base material comprises the following raw materials: weathered gravels, straw fibers, attapulgite clay, an inorganic compound fertilizer, a slow-release water-retaining agent, a cold-resistant microbial agent and mixed anti-freezing grass seeds; (3) covering the surface of the bare rock slope with an ecological blanket; (4) water management. The structural stability is enhanced through mechanical pretreatment, the anti-freezing and drought-resisting capabilities are improved through the composite anti-freezing and thawing base material, vegetation growth is promoted through cooperation of microorganisms and grass seeds, precise maintenance is achieved through an intelligent system, and a systematic solution for ecological restoration of the bare rock slope in the high and cold arid area is formed. The method has remarkable advantages in the aspects of improving the restoration efficiency, guaranteeing the ecological sustainability and the like.

The invention relates to the technical field of rock slope ecological protection, in particular to a rock slope ecological protection anchoring system which comprises a slope body, a planting frame, a greening vegetation layer, a protective net and an ecological restoration assembly. The ecological restoration assembly conveys and irrigates stored rainwater through a water storage tank, a water conveying pump, a water conveying pipe, permeation pipes and a first blocking pipe structure, meanwhile, the first blocking pipe is a hose, when water flows through the first blocking pipe, the first blocking pipe can expand and bulge, the first blocking pipe and the permeation pipes form a cross-shaped closure structure, and a stable supporting structure is formed; soil in the greening vegetation layer can be effectively intercepted, water and soil loss is prevented, collaborative optimization of ecological restoration and structural reinforcement is achieved, and long-term reliability and ecological benefits of the system are guaranteed.

The invention relates to the technical field of geotechnical engineering safety monitoring and evaluation, in particular to a soft rock slope stability dynamic evaluation method which comprises the following steps: S1, acquiring slope environment parameters, construction parameters and geological basic parameters; s2, through simulation of the whole rainfall infiltration process, the spatio-temporal evolution characteristics of pore water pressure in a slope rock stratum are quantified, the aging relation between soil shear strength degradation caused by rainwater and slope displacement is analyzed, and a slope instability threshold calculation model is established; and S3, analyzing the monitored deformation and displacement cumulative effect of the slope and the migration characteristics of the rock stratum slip plane under the load action of the construction vehicle, and constructing a rock stratum instability risk assessment model based on the construction parameters. By comprehensively considering the influence of environmental parameters, construction parameters and geological basic parameters on the slope stability, dynamic evaluation and graded early warning of the slope stability are realized, a construction scheme can be pre-evaluated, and a construction reference is provided for safety management and control of a soft rock slope project.

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 relates to the technical field of slope instability data analysis, and discloses a toppling deformation body forming process and fracture development mode analysis method and system.The method comprises the steps that a toppling deformation physical model is constructed according to geographic data, and deformation characteristics of an anti-tilting rock slope under different working conditions are simulated; building a rock stratum fracture development prediction model based on the dumping deformation physical model, inputting a simulation result into the rock stratum fracture development prediction model, and predicting rock stratum dumping deformation bodies and fracture development under different climate conditions; analyzing the prediction result to obtain a fracture development mode; carrying out stability partitioning on the toppling deformation body based on a fracture development mode, and evaluating a stability coefficient; and evaluating the stability coefficient and the real-time monitoring data, and adjusting the rock stratum fracture development prediction model according to an evaluation result. The system comprises a rock stratum data collection module, a prediction simulation module and a prediction result analysis module. According to the invention, the precision of evaluating the stability of the counter-tilting rock slope is improved.

The invention relates to a high and steep rock slope ecological restoration structure based on a biological solidification technology. The high and steep rock slope ecological restoration structure comprises a rock slope body, anchor rods, a metal net, a square solid containing cavity, a biological solidification coarse-grained soil layer, a vegetation base layer and an n-shaped component. The metal net is flatly laid on the surface of the rock slope body and is fixed on the surface of the rock slope body through a plurality of anchor rods; the plurality of anchor rods are transversely arranged in rows and longitudinally arranged in columns along the rock slope body, and are driven into a stable rock stratum of the rock slope body; the square solid containing cavity is fixedly connected with a rock slope body through an n-shaped component embedded into the rock body. The biological curing coarse-grained soil layer is formed by curing coarse-grained soil which is laid in the square solid containing cavity and contains biological slurry by spraying bean enzyme treatment liquid; the vegetation base layer is sprayed and seeded on the upper surface of the biological curing coarse-grained soil layer. The ecological restoration structure for the high and steep rock slope is good in strength and integrity, convenient and efficient to construct, good in ecological restoration effect and high in ecological stability and continuity.

The invention discloses a rock slope sliding interface identification and degradation monitoring method based on distributed sound wave sensing. The monitoring method comprises the steps that a plurality of vibration sensing optical cables are vertically arranged in a rock slope along a drill hole, multi-channel vibration time sequence data are obtained through a distributed sound wave sensing demodulator, and the multi-channel vibration time sequence data are obtained through detrending and noise suppression of a data preprocessing unit, space-time consistency filtering of apparent velocity constraint and phase weighted stacking. STA / LTA triggering and DBSCAN clustering are utilized to realize single-cable event merging, and unique pairing and three-dimensional positioning of cross-cable events are completed in combination with geometric matching degree and waveform form correlation degree; the sliding interface inversion unit adopts a deep learning model to classify abnormal events, constructs an event density field and an energy intensity field for sliding related events, forms a sliding interface evidence field, and optimizes an inversion sliding interface in a limited solution domain; the degradation state monitoring unit identifies a hot spot area on a sliding interface, tracks intensity and scale evolution, constructs a degradation index, and can realize early warning in combination with multi-source information such as earth surface displacement.

The invention discloses a rock slope fissure water seepage test simulation device, and relates to the technical field of simulation tests, the rock slope fissure water seepage test simulation device comprises a base, the upper end of the base is provided with a conveying pipe, the inner wall of the conveying pipe is provided with a transmission assembly, and the water flow rate is controlled through the transmission assembly; according to the rock slope crack water seepage test simulation device, the limiting block is limited through the locking block, so that the overall stability of the limiting block is improved when the limiting block rotates around the locking block. The extrusion rod is connected with the end part of the limiting block, so that the extrusion rod synchronously moves along with the limiting block, and the ball body is driven to move left and right through the pressing block. A driving groove is formed in the outer surface of the ball body, and the inner wall of the driving groove is in sliding connection with the outer surface of the pressing block, so that when the ball body is attached to the inner wall of the conveying pipe, overall sealing is guaranteed, the water flow speed can be adjusted according to the actual condition, and the seepage condition under the real condition is simulated.

The invention provides a highway soft rock slope three-dimensional intelligent monitoring and disaster early-stage identification early-warning method, and belongs to the technical field of slope monitoring, and the method comprises the following steps: shooting a highway roadbed by using remote sensing equipment, obtaining corresponding remote sensing image data, and identifying a remote sensing image; the image is input into a machine model for feature comparison learning, hidden danger point screening and disaster body recognition are carried out, a soft rock area is sampled, a soft rock mass three-dimensional space model is established, data in the soft rock mass are collected in real time by arranging a collecting device, the collected data serve as dynamic data of the soft rock mass three-dimensional space model, and the dynamic data are stored in a storage device. Remote sensing data and real-time collected data are input into an on-line early warning system, whether instability occurs in a soft rock area or not is judged, early warning information is sent to an area where instability or landslide possibly occurs, and management personnel are notified to check on site and take protective measures.

The utility model discloses a rock slope protection structure which comprises a first protection unit and a second protection unit, the first protection unit comprises lattice beams arranged along the slope surface, and the lattice beams are fixed to a rock slope through anchor rods; the second protection unit comprises a protection net connected with the lattice beam; the third protection unit comprises a growth bag connected with the protection net, a plant is placed in the growth bag, and the growth bag is provided with a growth hole allowing the root system of the plant to penetrate out. The lattice beams of the first protection units are used for realizing deep structure protection on the rock slope, so that deep slippage instability is prevented; shallow layer structure protection is achieved on the rock slope through the protective net of the second protective unit, and the situation that shallow layer rock blocks fall down, and the safety of the slope toe is harmed is avoided; plants in the growth bags pass through the growth holes, so that root systems of the plants extend and root into surface cracks of the rock slope; under the combined action of the lattice beams, the protective net and the plants, the rock slope can be prevented from deep slippage and instability, and shallow collapse can be prevented.

The invention relates to the technical field of hydroelectric engineering geological survey, in particular to a rock slope stability analysis method. Comprising the following steps: S1, drawing a slope engineering geological sketch map; s2, collecting broken stones and block stones accumulated at the slope angle of the side slope to obtain a broken stone and block stone shape graph; s3, restoring the damaged area of the side slope to obtain a terrain profile map before the damaged area of the side slope is damaged; s4, on the basis of the restored terrain profile map and the slope engineering geological sketch map, determining a specific crack causing damage to the slope damage area; s5, in the slope engineering geological sketch map determined in the step S1, screening out all fractures which are parallel to the fractures determined in the step S4 and form groups, and marking the fractures in the slope engineering geological sketch map; s6, according to all the cracks marked in the slope engineering geological sketch map in the step S5, a slope unstable area is divided; and the potential destructiveness accuracy of the side slope rock is improved.

The invention relates to the technical field of presplitting blasting, and discloses a rock slope presplitting blasting parameter optimization design method, which adopts a numerical simulation technology and a fluid-solid coupling algorithm ALE, combines an HJC constitutive model, and can more accurately predict stress distribution and dynamic response in a rock slope presplitting blasting process. By simulating and analyzing different parameter conditions, design parameters of presplitting blasting are optimized, so that the blasting effect is improved, and unnecessary energy loss and rock mass damage are reduced. And through reasonable setting of blast hole parameters, the fracture behavior of the rock mass can be effectively controlled, the blasting effect can be optimized, and the rock mass is prevented from being excessively broken. Compared with a traditional empirical formula method, the method has the advantages that empirical design is replaced by numerical simulation, and customized design can be performed according to specific engineering requirements, so that design efficiency and accuracy are remarkably improved.

The utility model relates to a supported rock slope greening structure. The method is suitable for the technical field of environmental protection. The technical problem to be solved by the utility model is to provide the green recovery structure for the supported rock slope. According to the technical scheme, the supported rock slope greening structure comprises drip irrigation pipelines which are installed on a slope bedrock face through fixing pieces, arranged in a grid shape and used for irrigating green plants on the slope and providing growth and attachment support for the green plants; the planting holes are formed in the side slope bedrock surface, the planting holes correspond to pipeline nodes of the drip irrigation pipelines, and undershrub plants are planted in the planting holes; the planting frames are arranged on the surface of the side slope, the planting frames correspond to the grids of the drip irrigation pipeline, and climbing plants are planted in the planting frames; the adjusting assembly is arranged in the drip irrigation pipeline and used for controlling an irrigation object of the drip irrigation pipeline.

The invention discloses a rock slope multi-mode instability probability analysis and risk evaluation method based on a drilling constraint condition random field, and belongs to the technical field of geotechnical engineering and engineering geology. According to the method, the conditional random field which is strictly consistent with the actually measured data is constructed under the condition of limited drilling exploration data, so that the reasonable expression of the spatial heterogeneity of the rock mass mechanical parameters is realized, and the authenticity of a numerical model and the reliability of an analysis result are greatly improved; the defect of insufficient result credibility caused by lack of actual measurement constraint of the unconditional random field is effectively overcome; through a large amount of multi-sample numerical simulation, multiple instability modes possibly occurring on the rock slope under different parameter space distribution conditions can be identified, the occurrence probability of each instability mode is quantitatively calculated, various risks possibly existing on the slope can be comprehensively grasped, only the most dangerous single condition is concerned, and the risk assessment accuracy is improved. And the accuracy and engineering applicability of slope stability analysis and risk evaluation are improved.

The invention discloses a plane sliding type rock slope seismic stability analysis model considering rough structural surface strength degradation. Aiming at the important defect that an existing structural surface strength vibration degradation model exaggerates the influence degree of a vibration wear effect influence coefficient and a relative movement speed effect influence coefficient on structural surface strength vibration degradation, the model is improved on the basis of a Barton criterion; therefore, a novel plane sliding type rock slope seismic stability analysis model considering the shear strength degradation of the rough structural surface is provided; parameter sensitivity analysis is adopted to research the influence rule of the seismic wave peak acceleration, the structural plane basic friction angle and roughness coefficient and the structural plane shear strength degradation factor influence parameters m and P0 on the slope seismic stability, and beneficial reference can be provided for slope seismic stability analysis.

The utility model belongs to the technical field of ecological rods, and particularly relates to an ecological rod for a rock hillside, which comprises a plant-growing bag, a plurality of first through holes are arranged at the top end of the plant-growing bag, an annular plate is fixedly mounted at the open end of the plant-growing bag, and one side of the annular plate is detachably connected with a sealing cover through a connecting component. A first wear-resistant layer is arranged on the outer surface of the vegetation bag, and a plurality of second through holes communicating with the first through holes are formed in the top end of the first wear-resistant layer. According to the sealing device, the sealing cover is detachably connected to the annular plate through the connecting assembly, the vegetation bag can be effectively sealed, meanwhile, workers can conveniently conduct operations such as repairing on the ecological rod in the later period, and practicability is improved.

The invention belongs to the technical field of geotechnical engineering disaster prevention and reduction and earthquake engineering tests, and relates to a vibration table test method considering time-varying deterioration of anti-seismic performance of an anchored rock slope. The method comprises the following steps: firstly, constructing a dynamic performance time-varying deterioration model based on an anchoring system interface bonding force and a free section steel bar yield resistance attenuation rule; physical equivalent simulation of interface degradation and component yield resistance reduction is realized by regulating and controlling the proportion of rock mass similar materials and utilizing a graded rigidity anchoring system. The core of the method is that before a vibration table applies seismic waves, attenuation of the anchoring performance of a supporting structure is actively simulated in advance, so that a real evolution path that the bearing capacity of an anchoring system is reduced firstly, slope stress redistribution and accumulated damage are caused, and then sudden seismic loads are suffered is reproduced; the limitation that only the static low bearing capacity is simply simulated in a traditional test is broken through. According to the method, space-time coupling of static time-varying degradation accumulation and transient earthquake dynamic action is effectively achieved, the problems of interface degradation simulation distortion and the like are solved, and a reliable test method is provided for dynamic stability evaluation and reinforcement design of a long-term service anchoring slope.

The invention discloses a strip mine rock slope crack detection method, which comprises the following steps: S1, obtaining an original image of a strip mine slope, and carrying out segmentation preprocessing to obtain a local crack image; s2, establishing a strip mine slope crack detection model, obtaining a training data set, performing data enhancement on the training data set to obtain enhanced data, inputting the enhanced data into the strip mine slope crack detection model for training, and selecting a prediction model with the highest overlap ratio of a prediction result and a real label as a trained prediction model; s3, inputting the local fissure image into the trained prediction model for fissure extraction to obtain local fissure features; and S4, splicing the local fracture characteristics to obtain a complete fracture detection result. According to the invention, efficient and accurate detection of the rock slope crack of the strip mine can be realized.

The invention discloses a protection device for treating a rock slope through cuttage planting, the slope comprises a slope body, a plurality of planting holes formed in the slope body and slurry sprayed and covered on the surface of the slope body and in the planting holes, a pluggable planting rod is arranged in each planting hole, each planting rod is formed by splicing two plate bodies, and the plate bodies are arranged in the planting holes. At least part of the planting rod is tightly attached to the planting hole, and the outer surface of the attached part of the planting rod is coated with a soluble connecting layer; a hidden flow channel is arranged at the end of the planting rod and used for conveying cement grout, and a plurality of through holes communicated with the hidden flow channel are formed in the outer surface of the planting rod within the range of the dissolvable connecting layer. Cement grout is poured into the rock mass through the hidden flow channel and the through hole, a miniature root pile with the planting hole as the core is formed, the integrity and stability of a slope shallow layer are remarkably enhanced, and structural support is provided.

The invention relates to the technical field of slope ecological restoration, and discloses an exposed rock wall ecological restoration composite anchoring device based on a capillary water guide system, which comprises a triangular basin-shaped steel reinforcement framework anchored on a rock wall, an inner side HDPE plate, an outer side HDPE plate, an EVA soft plate, a polyurethane foaming heat insulation layer and a gravel water storage bin, steel bars are anchored on a rock slope to form a basin-shaped device framework, an HDPE plate and a polyurethane foaming heat insulation layer are arranged on the framework to form a triangular basin-shaped device anchored on a rock wall, and a water storage bin, nutrient soil and planting vegetation are arranged in the device, so that the purpose of slope greening is achieved. In addition, the device provides soil and moisture guarantee conditions for growth of vegetation, overcomes the defects of slow greening effect, heavy device mass and difficult lasting greening effect due to large-scale use of earth-rock engineering in a conventional greening technology, guarantees nutrition supply of the vegetation through soil and a water storage bin in the device, and improves the vegetation quality. And rapid and lasting regreening of the bare rock slope can be realized.

The invention discloses a hierarchical collaborative anchoring prevention and control method for a hidden down-dip rock slope, and relates to the technical field of hierarchical collaborative anchoring prevention and control for the hidden down-dip rock slope, and the method comprises the following steps: obtaining geological survey data of a target slope, and generating a slope digital model composed of a plurality of grid nodes; and performing strength reduction on the slope digital model, simulating a process of evolving the target slope from a steady state to an unsteady state, obtaining data of each grid node in the simulation process, calculating a shear strain value of each grid node, and generating initial slope stress field data. According to the method, the dynamic evolution path of the shear band is accurately tracked through strength reduction simulation and space-time sequence reconstruction, and shear evolution characteristics can be accurately identified, so that dislocation of a reinforcement position and an actual disaster-causing region is effectively avoided, reinforcement failure caused by shear failure of a side slope is effectively avoided, and the prevention and control effect is effectively improved.

The invention discloses a high and steep rock slope dangerous rock mass identification method based on an unmanned aerial vehicle thermal infrared image. The method comprises the following steps: S1, generating a flight route; s2, collecting an infrared image and a visible light aerial photography image of the heat of the target area; s3, generating a three-dimensional geographic information model based on the visible light aerial photography image, determining a labeling standard of the three-dimensional geographic information model based on the infrared image, and obtaining a data set; s4, inputting the training set, and training by using a support vector machine algorithm to obtain a dangerous rock mass recognition model; and S5, inputting the verification set into the dangerous rock mass recognition model, performing result verification in combination with manual annotation, and outputting a visual recognition result. By the adoption of the high and steep rock slope dangerous rock mass recognition method based on the unmanned aerial vehicle thermal infrared image, the visible light image and the thermal infrared image are combined, the dangerous rock mass recognition result is generated through machine learning, and support can be provided for subsequent deeper disaster prevention and reduction work decision, construction planning and the like.

The invention discloses an aging deformation calculation method for a freeze-thaw cycle rock slope, which considers the damage effect of the freeze-thaw cycle on the slope rock, the thermal expansion and cold contraction effect of the rock and the influence of the temperature change on the creep property of the slope rock, and is used for determining the aging deformation characteristics of the slope under the freeze-thaw cycle. And long-term stability of cold region slope engineering in China is guaranteed.